From 51df17912b896c75df18da8204e7927fe297640b Mon Sep 17 00:00:00 2001
From: Tomasz Jankowski <tomasz1.jankowski@intel.com>
Date: Mon, 4 Sep 2023 06:07:06 +0200
Subject: [PATCH] [Ref_Impl] Change namespace from nG to OV (#19363)

* Use quotes for openvino includes

* Drop runtime from openvino::reference

* Drop runtime::reference

* Replace ngraph::reference with ov::reference - defs

* Replace ngraph::reference with ov::reference - uses

* Drop redundant nesting

* Fix non arch64 builds

* Move coordinate*pp files under openvino

* Move Coordinate... helpers under ov:: namespace

* Revert not needed changes

* Fix missing namespace scope

* Fix compilation

* Fix code style

* Use ov suppress deprecated macro instead of ngraph

---------

Co-authored-by: Raasz, Pawel <pawel.raasz@intel.com>
---
 .../src/pruning/init_const_mask.cpp           |   4 +-
 .../src/pruning/propagate_masks.cpp           |  10 +-
 .../snippets/src/pass/fq_decomposition.cpp    |  55 ++--
 .../compress_float_constants.cpp              |   4 +-
 .../src/transformations/convert_precision.cpp |   4 +-
 .../offline_transformations/pruning_test.cpp  |   6 +-
 .../include/openvino/reference/abs.hpp        |   6 +-
 .../openvino/reference/adaptive_avg_pool.hpp  |   6 +-
 .../openvino/reference/adaptive_max_pool.hpp  |   6 +-
 .../include/openvino/reference/add.hpp        |   8 +-
 .../include/openvino/reference/and.hpp        |   8 +-
 .../include/openvino/reference/atan2.hpp      |   6 +-
 .../reference/autobroadcast_binop.hpp         |  11 +-
 .../include/openvino/reference/avg_pool.hpp   |   8 +-
 .../include/openvino/reference/batch_norm.hpp |   8 +-
 .../openvino/reference/binary_convolution.hpp |   6 +-
 .../include/openvino/reference/broadcast.hpp  |   6 +-
 .../include/openvino/reference/bucketize.hpp  |   8 +-
 .../include/openvino/reference/ceiling.hpp    |   6 +-
 .../include/openvino/reference/clamp.hpp      |   6 +-
 .../include/openvino/reference/concat.hpp     |   6 +-
 .../include/openvino/reference/constant.hpp   |   6 +-
 .../include/openvino/reference/convert.hpp    |   6 +-
 .../openvino/reference/convert_color_nv12.hpp |   6 +-
 .../openvino/reference/convolution.hpp        |   6 +-
 .../reference/convolution_backprop_data.hpp   |   6 +-
 .../include/openvino/reference/copy.hpp       |   6 +-
 .../openvino/reference/ctc_greedy_decoder.hpp |  13 +-
 .../reference/ctc_greedy_decoder_seq_len.hpp  |   8 +-
 .../include/openvino/reference/ctc_loss.hpp   |   6 +-
 .../include/openvino/reference/cum_sum.hpp    |   6 +-
 .../reference/deformable_convolution.hpp      |   6 +-
 .../reference/deformable_psroi_pooling.hpp    |   6 +-
 .../openvino/reference/depth_to_space.hpp     |   8 +-
 .../openvino/reference/detection_output.hpp   |   6 +-
 .../include/openvino/reference/divide.hpp     |   8 +-
 .../include/openvino/reference/einsum.hpp     |   6 +-
 .../include/openvino/reference/elu.hpp        |   6 +-
 .../reference/embedding_bag_offsets_sum.hpp   |   6 +-
 .../reference/embedding_bag_packed_sum.hpp    |   6 +-
 .../reference/embedding_segments_sum.hpp      |   6 +-
 .../include/openvino/reference/equal.hpp      |   8 +-
 .../include/openvino/reference/erf.hpp        |   6 +-
 .../include/openvino/reference/exp.hpp        |   6 +-
 ...xperimental_detectron_detection_output.hpp |   6 +-
 ...imental_detectron_prior_grid_generator.hpp |   6 +-
 ...mental_detectron_proposal_single_image.hpp |   6 +-
 ...mental_detectron_roi_feature_extractor.hpp |   6 +-
 .../experimental_detectron_topk_rois.hpp      |   6 +-
 .../reference/extract_image_patches.hpp       |   8 +-
 .../include/openvino/reference/eye.hpp        |   6 +-
 .../openvino/reference/fake_quantize.hpp      |  18 +-
 .../include/openvino/reference/fft.hpp        |   6 +-
 .../include/openvino/reference/floor.hpp      |   6 +-
 .../include/openvino/reference/floor_mod.hpp  |   8 +-
 .../include/openvino/reference/function.hpp   |  10 +-
 .../include/openvino/reference/gather.hpp     |   6 +-
 .../openvino/reference/gather_elements.hpp    |   9 +-
 .../include/openvino/reference/gather_nd.hpp  |   8 +-
 .../openvino/reference/gather_tree.hpp        |   6 +-
 .../include/openvino/reference/gelu.hpp       |   6 +-
 .../openvino/reference/generate_proposal.hpp  |   6 +-
 .../include/openvino/reference/greater.hpp    |   8 +-
 .../include/openvino/reference/greater_eq.hpp |   8 +-
 .../openvino/reference/grid_sample.hpp        |   6 +-
 .../include/openvino/reference/grn.hpp        |   6 +-
 .../openvino/reference/group_convolution.hpp  |  26 +-
 .../group_convolution_backprop_data.hpp       |  30 +-
 .../reference/group_normalization.hpp         |   1 -
 .../include/openvino/reference/gru_cell.hpp   |   6 +-
 .../openvino/reference/hard_sigmoid.hpp       |   6 +-
 .../include/openvino/reference/helpers.hpp    |   6 +-
 .../include/openvino/reference/hsigmoid.hpp   |   6 +-
 .../include/openvino/reference/hswish.hpp     |   6 +-
 .../include/openvino/reference/if.hpp         |  14 +-
 .../openvino/reference/interpolate.hpp        |   8 +-
 .../openvino/reference/interpolate_pil.hpp    |   6 +-
 .../include/openvino/reference/irdft.hpp      |   6 +-
 .../include/openvino/reference/is_finite.hpp  |   6 +-
 .../include/openvino/reference/is_inf.hpp     |   6 +-
 .../include/openvino/reference/is_nan.hpp     |   6 +-
 .../include/openvino/reference/less.hpp       |   8 +-
 .../include/openvino/reference/less_eq.hpp    |   8 +-
 .../include/openvino/reference/log.hpp        |   6 +-
 .../openvino/reference/log_softmax.hpp        |  14 +-
 .../openvino/reference/logical_reduction.hpp  |  16 +-
 .../include/openvino/reference/loop.hpp       |  14 +-
 .../include/openvino/reference/lrn.hpp        |   8 +-
 .../include/openvino/reference/lstm_cell.hpp  |   6 +-
 .../include/openvino/reference/matmul.hpp     |  30 +-
 .../include/openvino/reference/matrix_nms.hpp |   6 +-
 .../include/openvino/reference/max.hpp        |  12 +-
 .../include/openvino/reference/max_pool.hpp   |   8 +-
 .../include/openvino/reference/maximum.hpp    |   8 +-
 .../include/openvino/reference/mean.hpp       |  12 +-
 .../include/openvino/reference/min.hpp        |  12 +-
 .../include/openvino/reference/minimum.hpp    |   8 +-
 .../include/openvino/reference/mish.hpp       |   6 +-
 .../include/openvino/reference/mod.hpp        |   8 +-
 .../openvino/reference/multiclass_nms.hpp     |   6 +-
 .../include/openvino/reference/multiply.hpp   |   8 +-
 .../include/openvino/reference/mvn.hpp        |  10 +-
 .../include/openvino/reference/negate.hpp     |   6 +-
 .../reference/non_max_suppression.hpp         |   6 +-
 .../include/openvino/reference/non_zero.hpp   |   6 +-
 .../openvino/reference/normalize_l2.hpp       |   8 +-
 .../include/openvino/reference/not.hpp        |   6 +-
 .../include/openvino/reference/not_equal.hpp  |   8 +-
 .../include/openvino/reference/one_hot.hpp    |   6 +-
 .../include/openvino/reference/or.hpp         |   8 +-
 .../include/openvino/reference/pad.hpp        |   6 +-
 .../include/openvino/reference/power.hpp      |   2 +-
 .../include/openvino/reference/prelu.hpp      |   8 +-
 .../include/openvino/reference/prior_box.hpp  |   8 +-
 .../reference/prior_box_clustered.hpp         |  10 +-
 .../include/openvino/reference/product.hpp    |  12 +-
 .../include/openvino/reference/proposal.hpp   |  16 +-
 .../openvino/reference/psroi_pooling.hpp      |   6 +-
 .../include/openvino/reference/quantize.hpp   |   8 +-
 .../openvino/reference/random_uniform.hpp     |   6 +-
 .../include/openvino/reference/range.hpp      |   8 +-
 .../include/openvino/reference/rdft.hpp       |   6 +-
 .../include/openvino/reference/reduce_l1.hpp  |  12 +-
 .../include/openvino/reference/reduce_l2.hpp  |  12 +-
 .../openvino/reference/region_yolo.hpp        |   6 +-
 .../include/openvino/reference/relu.hpp       |   6 +-
 .../include/openvino/reference/reorg_yolo.hpp |   6 +-
 .../include/openvino/reference/reshape.hpp    |   6 +-
 .../include/openvino/reference/result.hpp     |   6 +-
 .../include/openvino/reference/reverse.hpp    |   8 +-
 .../openvino/reference/reverse_sequence.hpp   |   8 +-
 .../include/openvino/reference/rnn_cell.hpp   |   6 +-
 .../include/openvino/reference/roi_align.hpp  |   8 +-
 .../openvino/reference/roi_pooling.hpp        |   8 +-
 .../include/openvino/reference/roll.hpp       |   8 +-
 .../reference/scatter_elements_update.hpp     |   8 +-
 .../openvino/reference/scatter_nd_update.hpp  |   6 +-
 .../openvino/reference/scatter_update.hpp     |  12 +-
 .../include/openvino/reference/select.hpp     |   8 +-
 .../include/openvino/reference/selu.hpp       |   6 +-
 .../include/openvino/reference/sequences.hpp  | 266 ++++++++----------
 .../include/openvino/reference/shape_of.hpp   |   6 +-
 .../openvino/reference/shuffle_channels.hpp   |   6 +-
 .../include/openvino/reference/sigmoid.hpp    |   6 +-
 .../include/openvino/reference/sign.hpp       |   6 +-
 .../include/openvino/reference/slice.hpp      |   8 +-
 .../include/openvino/reference/softmax.hpp    |  10 +-
 .../include/openvino/reference/softplus.hpp   |   6 +-
 .../include/openvino/reference/softsign.hpp   |   6 +-
 .../openvino/reference/space_to_depth.hpp     |   8 +-
 .../include/openvino/reference/split.hpp      |   6 +-
 .../include/openvino/reference/sqrt.hpp       |   6 +-
 .../openvino/reference/squared_difference.hpp |   8 +-
 .../openvino/reference/strided_slice.hpp      |  10 +-
 .../include/openvino/reference/subtract.hpp   |   8 +-
 .../include/openvino/reference/sum.hpp        |  12 +-
 .../include/openvino/reference/swish.hpp      |   6 +-
 .../openvino/reference/tensor_iterator.hpp    |  10 +-
 .../include/openvino/reference/tile.hpp       |   8 +-
 .../include/openvino/reference/topk.hpp       |   8 +-
 .../include/openvino/reference/transpose.hpp  |   6 +-
 .../include/openvino/reference/unique.hpp     |  30 +-
 .../reference/utils}/coordinate_index.hpp     |   9 +-
 .../reference/utils}/coordinate_range.hpp     |  10 +-
 .../reference/utils}/coordinate_transform.hpp |  20 +-
 .../openvino/reference/utils/fft_common.hpp   |   6 +-
 .../openvino/reference/utils/nms_common.hpp   |   6 +-
 .../include/openvino/reference/utils/span.hpp |   6 +-
 .../include/openvino/reference/xor.hpp        |   8 +-
 src/core/reference/src/op/broadcast.cpp       |   6 +-
 src/core/reference/src/op/concat.cpp          |   6 +-
 src/core/reference/src/op/convert.cpp         |   8 +-
 src/core/reference/src/op/depth_to_space.cpp  |  14 +-
 src/core/reference/src/op/einsum.cpp          | 138 +++++----
 ...xperimental_detectron_detection_output.cpp |   6 +-
 ...mental_detectron_proposal_single_image.cpp |   8 +-
 ...mental_detectron_roi_feature_extractor.cpp |   6 +-
 src/core/reference/src/op/fft.cpp             |   9 +-
 src/core/reference/src/op/function.cpp        |  10 +-
 src/core/reference/src/op/gather_tree.cpp     |  26 +-
 .../reference/src/op/generate_proposal.cpp    |   6 +-
 .../reference/src/op/group_convolution.cpp    |   6 +-
 .../op/group_convolution_backprop_data.cpp    |   6 +-
 src/core/reference/src/op/if.cpp              |  12 +-
 src/core/reference/src/op/interpolate.cpp     |   2 +-
 src/core/reference/src/op/irdft.cpp           |   9 +-
 src/core/reference/src/op/loop.cpp            |  28 +-
 src/core/reference/src/op/matmul.cpp          |   6 +-
 src/core/reference/src/op/matrix_nms.cpp      |  13 +-
 src/core/reference/src/op/multiclass_nms.cpp  |  10 +-
 .../reference/src/op/non_max_suppression.cpp  |   9 +-
 src/core/reference/src/op/pad.cpp             |  10 +-
 src/core/reference/src/op/random_uniform.cpp  |   6 +-
 src/core/reference/src/op/rdft.cpp            |   9 +-
 src/core/reference/src/op/reorg_yolo.cpp      |   8 +-
 src/core/reference/src/op/reshape.cpp         |  10 +-
 src/core/reference/src/op/reverse.cpp         |   8 +-
 .../reference/src/op/shuffle_channels.cpp     |   8 +-
 src/core/reference/src/op/slice.cpp           |   8 +-
 src/core/reference/src/op/space_to_depth.cpp  |  14 +-
 src/core/reference/src/op/split.cpp           |  30 +-
 src/core/reference/src/op/strided_slice.cpp   |  28 +-
 src/core/reference/src/op/tensor_iterator.cpp |  20 +-
 src/core/reference/src/op/tile.cpp            |  14 +-
 src/core/reference/src/op/transpose.cpp       |   8 +-
 .../reference/src/op/utils/fft_common.cpp     |   6 +-
 .../reference/src/op/utils/nms_common.cpp     |   6 +-
 .../src/runtime/opt_kernel/reshape.cpp        |   2 +-
 .../src/{ => utils}/coordinate_index.cpp      |  10 +-
 .../src/{ => utils}/coordinate_range.cpp      |   8 +-
 .../src/{ => utils}/coordinate_transform.cpp  |  15 +-
 src/core/src/op/abs.cpp                       |   2 +-
 src/core/src/op/add.cpp                       |  12 +-
 src/core/src/op/batch_to_space.cpp            |   2 +-
 src/core/src/op/ceiling.cpp                   |   4 +-
 src/core/src/op/clamp.cpp                     |   2 +-
 src/core/src/op/concat.cpp                    |  24 +-
 src/core/src/op/convert.cpp                   |  12 +-
 src/core/src/op/cum_sum.cpp                   |  12 +-
 src/core/src/op/depth_to_space.cpp            |  14 +-
 src/core/src/op/divide.cpp                    |  14 +-
 src/core/src/op/equal.cpp                     |  12 +-
 src/core/src/op/erf.cpp                       |   2 +-
 src/core/src/op/exp.cpp                       |   2 +-
 src/core/src/op/eye.cpp                       |   2 +-
 src/core/src/op/fake_quantize.cpp             |  26 +-
 src/core/src/op/floor.cpp                     |   4 +-
 src/core/src/op/floor_mod.cpp                 |  12 +-
 src/core/src/op/gelu.cpp                      |   2 +-
 src/core/src/op/greater.cpp                   |  12 +-
 src/core/src/op/greater_eq.cpp                |  12 +-
 src/core/src/op/grid_sample.cpp               |  16 +-
 src/core/src/op/hsigmoid.cpp                  |   2 +-
 src/core/src/op/hswish.cpp                    |   2 +-
 src/core/src/op/interpolate.cpp               |  74 ++---
 src/core/src/op/less.cpp                      |  12 +-
 src/core/src/op/less_eq.cpp                   |  12 +-
 src/core/src/op/log.cpp                       |   2 +-
 src/core/src/op/logical_and.cpp               |  12 +-
 src/core/src/op/logical_not.cpp               |   2 +-
 src/core/src/op/logical_or.cpp                |  12 +-
 src/core/src/op/loop.cpp                      |  12 +-
 src/core/src/op/matmul.cpp                    |  16 +-
 src/core/src/op/max_pool.cpp                  |  38 +--
 src/core/src/op/maximum.cpp                   |  12 +-
 src/core/src/op/minimum.cpp                   |  12 +-
 src/core/src/op/mish.cpp                      |   2 +-
 src/core/src/op/mod.cpp                       |  12 +-
 src/core/src/op/multiply.cpp                  |  12 +-
 src/core/src/op/mvn.cpp                       |  18 +-
 src/core/src/op/negative.cpp                  |   2 +-
 src/core/src/op/non_zero.cpp                  |   6 +-
 src/core/src/op/not_equal.cpp                 |  12 +-
 src/core/src/op/one_hot.cpp                   |  16 +-
 src/core/src/op/power.cpp                     |  14 +-
 src/core/src/op/prelu.cpp                     |  10 +-
 src/core/src/op/prior_box.cpp                 |   4 +-
 src/core/src/op/prior_box_clustered.cpp       |   6 +-
 src/core/src/op/random_uniform.cpp            |  18 +-
 src/core/src/op/range.cpp                     |   2 +-
 src/core/src/op/reduce_l1.cpp                 |   2 +-
 src/core/src/op/reduce_l2.cpp                 |   2 +-
 src/core/src/op/reduce_logical_and.cpp        |   8 +-
 src/core/src/op/reduce_logical_or.cpp         |   8 +-
 src/core/src/op/reduce_max.cpp                |   2 +-
 src/core/src/op/reduce_mean.cpp               |   2 +-
 src/core/src/op/reduce_min.cpp                |   2 +-
 src/core/src/op/reduce_prod.cpp               |   2 +-
 src/core/src/op/reduce_sum.cpp                |   2 +-
 src/core/src/op/relu.cpp                      |   2 +-
 src/core/src/op/reverse.cpp                   |  12 +-
 src/core/src/op/roi_align.cpp                 |  28 +-
 src/core/src/op/scatter_elements_update.cpp   |  18 +-
 src/core/src/op/scatter_nd_update.cpp         |  28 +-
 src/core/src/op/scatter_update.cpp            |  18 +-
 src/core/src/op/select.cpp                    |  16 +-
 src/core/src/op/shape_of.cpp                  |   4 +-
 src/core/src/op/shuffle_channels.cpp          |   2 +-
 src/core/src/op/sigmoid.cpp                   |   2 +-
 src/core/src/op/sign.cpp                      |   2 +-
 src/core/src/op/slice.cpp                     |  16 +-
 src/core/src/op/softmax.cpp                   |   4 +-
 src/core/src/op/softplus.cpp                  |   2 +-
 src/core/src/op/softsign.cpp                  |   2 +-
 src/core/src/op/space_to_batch.cpp            |  18 +-
 src/core/src/op/space_to_depth.cpp            |  14 +-
 src/core/src/op/split.cpp                     |  12 +-
 src/core/src/op/sqrt.cpp                      |   2 +-
 src/core/src/op/squeeze.cpp                   |   6 +-
 src/core/src/op/strided_slice.cpp             |  10 +-
 src/core/src/op/subtract.cpp                  |  12 +-
 src/core/src/op/swish.cpp                     |   7 +-
 src/core/src/op/tile.cpp                      |  24 +-
 src/core/src/op/topk.cpp                      |  18 +-
 src/core/src/op/transpose.cpp                 |  12 +-
 src/core/src/op/unique.cpp                    |  16 +-
 src/core/src/op/unsqueeze.cpp                 |   2 +-
 src/core/src/op/util/broadcast_base.cpp       |  12 +-
 src/core/src/op/util/gather_base.cpp          |  32 +--
 src/core/src/op/util/pad_base.cpp             |  18 +-
 src/core/src/op/variadic_split.cpp            |  16 +-
 src/core/src/op/xor.cpp                       |  12 +-
 src/core/src/pass/serialize.cpp               |   2 +-
 src/core/tests/coordinate.cpp                 |  60 ++--
 src/core/tests/coordinate_range.cpp           |  54 ++--
 src/core/tests/ov_tensor_test.cpp             |  14 +-
 src/core/tests/span.cpp                       |   2 +-
 .../unit/dynamic_execution/priorbox_test.cpp  |   2 +-
 .../adaptive_avg_pooling_gpu_test.cpp         |   2 +-
 .../adaptive_max_pooling_gpu_test.cpp         |   2 +-
 .../unit/test_cases/broadcast_gpu_test.cpp    |  27 +-
 .../tests/unit/test_cases/gemm_gpu_test.cpp   |  17 +-
 .../unit/test_cases/non_zero_gpu_test.cpp     |  14 +-
 .../test_cases/scatter_nd_update_gpu_test.cpp |  42 +--
 src/plugins/template/backend/ops/abs.cpp      |   6 +-
 .../backend/ops/adaptive_avg_pool.cpp         |   8 +-
 .../backend/ops/adaptive_max_pool.cpp         |  20 +-
 src/plugins/template/backend/ops/avg_pool.cpp |  18 +-
 .../template/backend/ops/batch_norm.cpp       |  32 +--
 .../backend/ops/binary_convolution.cpp        |  22 +-
 .../template/backend/ops/bucketize.cpp        |  12 +-
 src/plugins/template/backend/ops/ceiling.cpp  |   6 +-
 src/plugins/template/backend/ops/convert.cpp  |  14 +-
 .../backend/ops/convert_color_nv12.cpp        |  36 ++-
 .../template/backend/ops/convolution.cpp      |  20 +-
 .../backend/ops/convolution_backprop_data.cpp |   2 +-
 .../backend/ops/ctc_greedy_decoder.cpp        |  14 +-
 .../ops/ctc_greedy_decoder_seq_len.cpp        |  32 +--
 src/plugins/template/backend/ops/ctc_loss.cpp |  20 +-
 src/plugins/template/backend/ops/cum_sum.cpp  |  12 +-
 .../backend/ops/deformable_convolution.cpp    |   6 +-
 .../backend/ops/deformable_psroi_pooling.cpp  |  56 ++--
 .../template/backend/ops/detection_output.cpp |  20 +-
 src/plugins/template/backend/ops/einsum.cpp   |   2 +-
 src/plugins/template/backend/ops/elu.cpp      |   8 +-
 .../backend/ops/embedding_bag_offsets_sum.cpp |  17 +-
 .../backend/ops/embedding_bag_packed_sum.cpp  |  13 +-
 .../backend/ops/embedding_segments_sum.cpp    |  19 +-
 src/plugins/template/backend/ops/equal.cpp    |  16 +-
 src/plugins/template/backend/ops/exp.cpp      |   6 +-
 ...xperimental_detectron_detection_output.cpp |  36 +--
 ...imental_detectron_prior_grid_generator.cpp |  18 +-
 ...mental_detectron_proposal_single_image.cpp |  36 +--
 ...mental_detectron_roi_feature_extractor.cpp |  24 +-
 .../ops/experimental_detectron_topk_rois.cpp  |  12 +-
 .../backend/ops/extract_image_patches.cpp     |  10 +-
 src/plugins/template/backend/ops/fft.cpp      |  37 ++-
 src/plugins/template/backend/ops/gather.cpp   |  32 +--
 .../template/backend/ops/gather_elements.cpp  |  28 +-
 .../template/backend/ops/gather_nd.cpp        |  56 ++--
 .../template/backend/ops/gather_tree.cpp      |  20 +-
 src/plugins/template/backend/ops/gelu.cpp     |  16 +-
 .../backend/ops/generate_proposal.cpp         |  44 +--
 src/plugins/template/backend/ops/greater.cpp  |  16 +-
 .../template/backend/ops/grid_sample.cpp      |  16 +-
 src/plugins/template/backend/ops/grn.cpp      |   8 +-
 .../backend/ops/group_convolution.cpp         |  21 +-
 .../ops/group_convolution_backprop_data.cpp   |   2 +-
 src/plugins/template/backend/ops/gru_cell.cpp |  62 ++--
 .../template/backend/ops/hard_sigmoid.cpp     |  10 +-
 src/plugins/template/backend/ops/if.cpp       |   2 +-
 .../template/backend/ops/interpolate.cpp      | 128 ++++-----
 src/plugins/template/backend/ops/irdft.cpp    |  21 +-
 .../template/backend/ops/is_finite.cpp        |  26 +-
 src/plugins/template/backend/ops/is_inf.cpp   |  32 +--
 src/plugins/template/backend/ops/is_nan.cpp   |  24 +-
 src/plugins/template/backend/ops/log.cpp      |   6 +-
 .../template/backend/ops/log_softmax.cpp      |   8 +-
 src/plugins/template/backend/ops/lrn.cpp      |  16 +-
 .../template/backend/ops/lstm_cell.cpp        |  80 +++---
 .../template/backend/ops/matrix_nms.cpp       |  36 +--
 src/plugins/template/backend/ops/mod.cpp      |  12 +-
 .../template/backend/ops/multiclass_nms.cpp   |  80 +++---
 src/plugins/template/backend/ops/mvn.cpp      |  26 +-
 .../backend/ops/non_max_suppression.cpp       | 200 ++++++-------
 .../template/backend/ops/normalize_l2.cpp     |  12 +-
 src/plugins/template/backend/ops/pad.cpp      |  18 +-
 src/plugins/template/backend/ops/prelu.cpp    |  10 +-
 src/plugins/template/backend/ops/proposal.cpp |  40 +--
 .../template/backend/ops/psroi_pooling.cpp    |  20 +-
 src/plugins/template/backend/ops/rdft.cpp     |  14 +-
 .../template/backend/ops/region_yolo.cpp      |  16 +-
 src/plugins/template/backend/ops/relu.cpp     |   6 +-
 .../template/backend/ops/reorg_yolo.cpp       |  10 +-
 .../template/backend/ops/reverse_sequence.cpp |  12 +-
 src/plugins/template/backend/ops/rnn_cell.cpp |  26 +-
 .../template/backend/ops/roi_align.cpp        |  28 +-
 .../template/backend/ops/roi_pooling.cpp      |  16 +-
 src/plugins/template/backend/ops/roll.cpp     |   2 +-
 .../backend/ops/scatter_nd_update.cpp         |  28 +-
 src/plugins/template/backend/ops/selu.cpp     |  14 +-
 .../template/backend/ops/sequences.cpp        | 208 +++++++-------
 src/plugins/template/backend/ops/sigmoid.cpp  |   6 +-
 src/plugins/template/backend/ops/sign.cpp     |   6 +-
 src/plugins/template/backend/ops/softsign.cpp |  24 +-
 .../backend/ops/squared_difference.cpp        |  12 +-
 .../template/backend/ops/tensor_iterator.cpp  |  20 +-
 src/plugins/template/backend/ops/unique.cpp   |  26 +-
 398 files changed, 2613 insertions(+), 3048 deletions(-)
 rename src/core/reference/include/{ngraph => openvino/reference/utils}/coordinate_index.hpp (58%)
 rename src/core/reference/include/{ngraph => openvino/reference/utils}/coordinate_range.hpp (97%)
 rename src/core/reference/include/{ngraph => openvino/reference/utils}/coordinate_transform.hpp (93%)
 rename src/core/reference/src/{ => utils}/coordinate_index.cpp (77%)
 rename src/core/reference/src/{ => utils}/coordinate_range.cpp (97%)
 rename src/core/reference/src/{ => utils}/coordinate_transform.cpp (96%)

diff --git a/src/common/offline_transformations/src/pruning/init_const_mask.cpp b/src/common/offline_transformations/src/pruning/init_const_mask.cpp
index fcf9255a800..f2086fb05fc 100644
--- a/src/common/offline_transformations/src/pruning/init_const_mask.cpp
+++ b/src/common/offline_transformations/src/pruning/init_const_mask.cpp
@@ -5,10 +5,10 @@
 #include <memory>
 
 #include "mask_attribute.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "openvino/op/log.hpp"
 #include "openvino/opsets/opset6.hpp"
 #include "openvino/pass/pattern/op/wrap_type.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 #include "pruning.hpp"
 
 ov::pass::InitConstMask::InitConstMask(const ov::AxisSet& dims,
@@ -43,7 +43,7 @@ ov::pass::InitConstMask::InitConstMask(const ov::AxisSet& dims,
 
                 bool skip_dim_value = false;
                 OPENVINO_SUPPRESS_DEPRECATED_START
-                ngraph::CoordinateTransform iter(shape, begin, end);
+                ov::CoordinateTransform iter(shape, begin, end);
                 for (const Coordinate& coord : iter) {
                     if (!condition(values.at(iter.index(coord)))) {
                         skip_dim_value = true;
diff --git a/src/common/offline_transformations/src/pruning/propagate_masks.cpp b/src/common/offline_transformations/src/pruning/propagate_masks.cpp
index 3a820fd192a..b2ce77882d4 100644
--- a/src/common/offline_transformations/src/pruning/propagate_masks.cpp
+++ b/src/common/offline_transformations/src/pruning/propagate_masks.cpp
@@ -7,7 +7,6 @@
 #include <memory>
 
 #include "mask_attribute.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "openvino/core/rt_info.hpp"
 #include "openvino/core/validation_util.hpp"
 #include "openvino/op/gelu.hpp"
@@ -17,6 +16,7 @@
 #include "openvino/op/util/pad_base.hpp"
 #include "openvino/opsets/opset10.hpp"
 #include "openvino/pass/pattern/op/wrap_type.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 #include "openvino/util/log.hpp"
 #include "pruning.hpp"
 
@@ -1015,14 +1015,14 @@ struct ChannelsMap {
  *  on unsquized_shape_dim dimension according to unsquized_shape shape.
  */
 OPENVINO_SUPPRESS_DEPRECATED_START
-static ngraph::CoordinateTransform get_channel_iter(const ov::Shape unsquized_shape,
-                                                    const size_t unsquized_shape_dim,
-                                                    const size_t channel) {
+static ov::CoordinateTransform get_channel_iter(const ov::Shape unsquized_shape,
+                                                const size_t unsquized_shape_dim,
+                                                const size_t channel) {
     auto begin = ov::Coordinate(unsquized_shape.size(), 0);
     auto end = ov::Coordinate(unsquized_shape);
     begin[unsquized_shape_dim] = channel;
     end[unsquized_shape_dim] = channel + 1;
-    ngraph::CoordinateTransform iter(unsquized_shape, begin, end);
+    ov::CoordinateTransform iter(unsquized_shape, begin, end);
     return iter;
 }
 OPENVINO_SUPPRESS_DEPRECATED_END
diff --git a/src/common/snippets/src/pass/fq_decomposition.cpp b/src/common/snippets/src/pass/fq_decomposition.cpp
index 09166383dca..0f849ba1f06 100644
--- a/src/common/snippets/src/pass/fq_decomposition.cpp
+++ b/src/common/snippets/src/pass/fq_decomposition.cpp
@@ -6,13 +6,13 @@
 
 #include <numeric>
 
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "openvino/core/rt_info.hpp"
 #include "openvino/opsets/opset1.hpp"
 #include "openvino/pass/constant_folding.hpp"
 #include "openvino/pass/manager.hpp"
 #include "openvino/pass/pattern/op/wrap_type.hpp"
 #include "openvino/pass/validate.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 #include "openvino/reference/broadcast.hpp"
 #include "snippets/itt.hpp"
 #include "snippets/op/convert_saturation.hpp"
@@ -208,9 +208,10 @@ bool ov::snippets::pass::FakeQuantizeDecomposition::getScalesAndShifts(
     auto broadcast_type = fq_node->get_auto_broadcast();
 
     // We have two ways for computations of scales and shifts to avoid model compilation time growth
-    // because common function "ov::runtime::reference::autobroadcast_binop()" is expensive:
+    // because common function "ov::reference::autobroadcast_binop()" is expensive:
     //  - A usual case (weights with the same shapes or scalars) - optimal calculations without large broadcasting
-    //  - A rare case ("general broadcasting") - common computations using autobroadcast_binop() call with broadcasting support
+    //  - A rare case ("general broadcasting") - common computations using autobroadcast_binop() call with broadcasting
+    //  support
 
     // Calculations of input scales and shift:
     //   - isc := (levels-1) / (ih - il)
@@ -235,23 +236,35 @@ bool ov::snippets::pass::FakeQuantizeDecomposition::getScalesAndShifts(
         const auto input_size = ov::shape_size(scale_shape);
         isc.resize(input_size, 0);
         ish.resize(input_size, 0);
-        ngraph::runtime::reference::autobroadcast_binop(input_high.data(), input_low.data(), isc.data(),
-                                                        input_high_shape, input_low_shape, broadcast_type,
-                                                        [levels](float x, float y) -> float { return (levels - 1) / (x - y); });
-        ngraph::runtime::reference::autobroadcast_binop(input_low.data(), isc.data(), ish.data(),
-                                                        input_low_shape, scale_shape, broadcast_type,
-                                                        [](float x, float y) -> float { return -x * y; });
+        ov::reference::autobroadcast_binop(input_high.data(),
+                                           input_low.data(),
+                                           isc.data(),
+                                           input_high_shape,
+                                           input_low_shape,
+                                           broadcast_type,
+                                           [levels](float x, float y) -> float {
+                                               return (levels - 1) / (x - y);
+                                           });
+        ov::reference::autobroadcast_binop(input_low.data(),
+                                           isc.data(),
+                                           ish.data(),
+                                           input_low_shape,
+                                           scale_shape,
+                                           broadcast_type,
+                                           [](float x, float y) -> float {
+                                               return -x * y;
+                                           });
         auto broadcast = [](const std::vector<float>& original_data, std::vector<float>& out_data,
                             const ov::Shape& original_shape, const ov::Shape& out_shape, size_t size) -> void {
             out_data.resize(size, 0);
             std::vector<size_t> broadcast_axes(out_shape.size() - original_shape.size());
             std::iota(broadcast_axes.begin(), broadcast_axes.end(), 0);
-            ngraph::runtime::reference::broadcast(reinterpret_cast<const char*>(original_data.data()),
-                                                  reinterpret_cast<char*>(out_data.data()),
-                                                  original_shape,
-                                                  out_shape,
-                                                  broadcast_axes,
-                                                  sizeof(float));
+            ov::reference::broadcast(reinterpret_cast<const char*>(original_data.data()),
+                                     reinterpret_cast<char*>(out_data.data()),
+                                     original_shape,
+                                     out_shape,
+                                     broadcast_axes,
+                                     sizeof(float));
         };
         broadcast(input_low, cl, input_low_shape, scale_shape, input_size);
         broadcast(input_high, ch, input_high_shape, scale_shape, input_size);
@@ -276,9 +289,15 @@ bool ov::snippets::pass::FakeQuantizeDecomposition::getScalesAndShifts(
         PartialShape::broadcast_merge_into(scale_pshape, output_high_constant->get_output_partial_shape(0), broadcast_type);
         const auto output_size = ov::shape_size(scale_pshape.get_shape());
         osc.resize(output_size, 0);
-        ngraph::runtime::reference::autobroadcast_binop(output_high.data(), output_low.data(), osc.data(),
-                                                        output_high_shape, output_low_shape, broadcast_type,
-                                                        [levels](float x, float y) -> float { return (x - y) / (levels - 1); });
+        ov::reference::autobroadcast_binop(output_high.data(),
+                                           output_low.data(),
+                                           osc.data(),
+                                           output_high_shape,
+                                           output_low_shape,
+                                           broadcast_type,
+                                           [levels](float x, float y) -> float {
+                                               return (x - y) / (levels - 1);
+                                           });
         osh = output_low;
     }
 
diff --git a/src/common/transformations/src/transformations/common_optimizations/compress_float_constants.cpp b/src/common/transformations/src/transformations/common_optimizations/compress_float_constants.cpp
index cddf2313ef0..2e234f25b43 100644
--- a/src/common/transformations/src/transformations/common_optimizations/compress_float_constants.cpp
+++ b/src/common/transformations/src/transformations/common_optimizations/compress_float_constants.cpp
@@ -96,7 +96,7 @@ ov::pass::CompressFloatConstantsImpl::CompressFloatConstantsImpl(bool postponed)
             if (size == 0)
                 return false;
             auto num_out_of_range =
-                ngraph::runtime::reference::count_out_of_f16_range(const_node->get_data_ptr<ov::element::f32>(), size);
+                ov::reference::count_out_of_f16_range(const_node->get_data_ptr<ov::element::f32>(), size);
 
             // if more than 75% of a FP32 constant do not fit into FP16 keep in FP32
             const float keep_threshold = 0.75f;
@@ -113,7 +113,7 @@ ov::pass::CompressFloatConstantsImpl::CompressFloatConstantsImpl(bool postponed)
                 auto* dst_data =
                     const_cast<ov::float16*>(reinterpret_cast<const ov::float16*>(compressed_const->get_data_ptr()));
                 OPENVINO_ASSERT(dst_data);
-                ngraph::runtime::reference::convert_from_f32_to_f16_with_clamp(src_data, dst_data, size);
+                ov::reference::convert_from_f32_to_f16_with_clamp(src_data, dst_data, size);
                 new_const = compressed_const;
             }
         } else if (c_type == ov::element::f64) {
diff --git a/src/common/transformations/src/transformations/convert_precision.cpp b/src/common/transformations/src/transformations/convert_precision.cpp
index e6b9ac7bb99..29ef79c3124 100644
--- a/src/common/transformations/src/transformations/convert_precision.cpp
+++ b/src/common/transformations/src/transformations/convert_precision.cpp
@@ -907,7 +907,7 @@ std::shared_ptr<Node> change_constant_precision<ov::element::Type_t::f32, ov::el
     if (dst_data == nullptr)
         OPENVINO_THROW("Can't get destination data pointer");
 
-    ngraph::runtime::reference::convert_from_f32_to_f16_with_clamp(src_data, dst_data, size);
+    ov::reference::convert_from_f32_to_f16_with_clamp(src_data, dst_data, size);
 
     return new_constant;
 }
@@ -927,7 +927,7 @@ std::shared_ptr<Node> change_constant_precision<ov::element::Type_t::f16, ov::el
     if (dst_data == nullptr)
         OPENVINO_THROW("Can't get destination data pointer");
 
-    ngraph::runtime::reference::convert<src_type, dst_type>(src_data, dst_data, size);
+    ov::reference::convert<src_type, dst_type>(src_data, dst_data, size);
 
     return new_constant;
 }
diff --git a/src/common/transformations/tests/offline_transformations/pruning_test.cpp b/src/common/transformations/tests/offline_transformations/pruning_test.cpp
index 92b99842cdc..8cb95249a44 100644
--- a/src/common/transformations/tests/offline_transformations/pruning_test.cpp
+++ b/src/common/transformations/tests/offline_transformations/pruning_test.cpp
@@ -13,7 +13,6 @@
 #include "common_test_utils/ov_test_utils.hpp"
 #include "inference_engine.hpp"
 #include "mask_attribute.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "openvino/core/model.hpp"
 #include "openvino/op/util/attr_types.hpp"
 #include "openvino/op/util/pad_base.hpp"
@@ -22,6 +21,7 @@
 #include "openvino/pass/manager.hpp"
 #include "openvino/pass/serialize.hpp"
 #include "openvino/pass/visualize_tree.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 #include "openvino/util/env_util.hpp"
 #include "transformations/init_node_info.hpp"
 
@@ -52,7 +52,7 @@ Output<Node> create_constant_with_zeros(const Shape& shape, const Mask& mask) {
             coord_end[dim] = dim_value + 1;
 
             OPENVINO_SUPPRESS_DEPRECATED_START
-            ngraph::CoordinateTransform iter(shape, coord_begin, coord_end);
+            ov::CoordinateTransform iter(shape, coord_begin, coord_end);
             for (const Coordinate& coord : iter) {
                 values[iter.index(coord)] = 0;
             }
@@ -138,7 +138,7 @@ TEST(TransformationTests, InitMasksOutputChannel) {
     Shape weights_shape{6, 3, 3, 3};
     std::vector<double> values(shape_size(weights_shape), 1);
     OPENVINO_SUPPRESS_DEPRECATED_START
-    ngraph::CoordinateTransform iter(weights_shape, {0, 1, 0, 0}, {6, 2, 3, 3});
+    ov::CoordinateTransform iter(weights_shape, {0, 1, 0, 0}, {6, 2, 3, 3});
     for (const Coordinate& coord : iter) {
         values[iter.index(coord)] = 0;
     }
diff --git a/src/core/reference/include/openvino/reference/abs.hpp b/src/core/reference/include/openvino/reference/abs.hpp
index 22188e3ab60..d4163f3e884 100644
--- a/src/core/reference/include/openvino/reference/abs.hpp
+++ b/src/core/reference/include/openvino/reference/abs.hpp
@@ -7,8 +7,7 @@
 #include <cstddef>
 #include <type_traits>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename std::enable_if<std::is_unsigned<T>::value, bool>::type = true>
 void abs(const T* arg, T* out, size_t count) {
@@ -23,5 +22,4 @@ void abs(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/adaptive_avg_pool.hpp b/src/core/reference/include/openvino/reference/adaptive_avg_pool.hpp
index a26f3e0ecb0..d8c6bf94430 100644
--- a/src/core/reference/include/openvino/reference/adaptive_avg_pool.hpp
+++ b/src/core/reference/include/openvino/reference/adaptive_avg_pool.hpp
@@ -11,8 +11,7 @@
 #include "ngraph/axis_vector.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace adaptive_pool {
 inline size_t window_start(size_t idx, size_t arg_shape, size_t out_shape) {
@@ -130,5 +129,4 @@ void adaptive_avg_pool(const T* arg, T* out, const Shape& arg_shape, const Shape
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/adaptive_max_pool.hpp b/src/core/reference/include/openvino/reference/adaptive_max_pool.hpp
index 44a8346c36e..9aa0c3afa2a 100644
--- a/src/core/reference/include/openvino/reference/adaptive_max_pool.hpp
+++ b/src/core/reference/include/openvino/reference/adaptive_max_pool.hpp
@@ -11,8 +11,7 @@
 #include "ngraph/axis_vector.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename IT>
 void adaptive_max_pool_1d(const T* arg, T* out, IT* indices, size_t h_in, size_t h_out) {
@@ -126,5 +125,4 @@ void adaptive_max_pool(const T* arg, T* out, IT* selected_indices, const Shape&
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/add.hpp b/src/core/reference/include/openvino/reference/add.hpp
index 081b702f073..85357de726d 100644
--- a/src/core/reference/include/openvino/reference/add.hpp
+++ b/src/core/reference/include/openvino/reference/add.hpp
@@ -6,11 +6,10 @@
 
 #include <cstddef>
 
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void add(const T* arg0, const T* arg1, T* out, size_t count) {
@@ -31,5 +30,4 @@ void add(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/and.hpp b/src/core/reference/include/openvino/reference/and.hpp
index 1e856826377..f1b6783b285 100644
--- a/src/core/reference/include/openvino/reference/and.hpp
+++ b/src/core/reference/include/openvino/reference/and.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void logical_and(const T* arg0, const T* arg1, T* out, size_t count) {
@@ -32,5 +31,4 @@ void logical_and(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/atan2.hpp b/src/core/reference/include/openvino/reference/atan2.hpp
index c844432ebfa..d16d48fae31 100644
--- a/src/core/reference/include/openvino/reference/atan2.hpp
+++ b/src/core/reference/include/openvino/reference/atan2.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename X, typename Y, typename Z>
 void atan2(const X* py, const Y* px, Z* pout, size_t count) {
@@ -17,5 +16,4 @@ void atan2(const X* py, const Y* px, Z* pout, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/autobroadcast_binop.hpp b/src/core/reference/include/openvino/reference/autobroadcast_binop.hpp
index f27f9b78ff0..0de0e66de9f 100644
--- a/src/core/reference/include/openvino/reference/autobroadcast_binop.hpp
+++ b/src/core/reference/include/openvino/reference/autobroadcast_binop.hpp
@@ -8,9 +8,9 @@
 #include <numeric>
 #include <utility>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/op/util/attr_types.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
 namespace ov {
 namespace reference {
@@ -44,7 +44,6 @@ inline void numpy_autobroadcast_binop(const T* arg0,
                                       const size_t axis,
                                       const size_t stride,
                                       Functor elementwise_functor) {
-    using ngraph::CoordinateIterator;
     for (CoordinateIterator it(output_shape), ite = CoordinateIterator::end();;) {
         for (size_t i = 0; i < stride; ++i)
             *out++ = elementwise_functor(arg0[i * A0], arg1[i * A1]);
@@ -264,9 +263,9 @@ void autobroadcast_binop(const T* arg0,
             }
 
             NGRAPH_SUPPRESS_DEPRECATED_START
-            ngraph::CoordinateTransform arg0_transform(arg0_shape);
-            ngraph::CoordinateTransform arg1_transform(arg1_squeezed_shape);
-            ngraph::CoordinateTransform output_transform(arg0_shape);
+            CoordinateTransform arg0_transform(arg0_shape);
+            CoordinateTransform arg1_transform(arg1_squeezed_shape);
+            CoordinateTransform output_transform(arg0_shape);
 
             for (const Coordinate& output_coord : output_transform) {
                 Coordinate arg1_coord = ngraph::reduce(output_coord, arg1_squeezed_axes, false);
@@ -309,8 +308,6 @@ void autobroadcast_select(const U* arg0,
                           const Shape& arg2_shape,
                           const op::AutoBroadcastSpec& broadcast_spec,
                           Functor elementwise_functor) {
-    using ngraph::CoordinateTransformBasic;
-
     switch (broadcast_spec.m_type) {
     case op::AutoBroadcastType::NONE:
         for (size_t i = 0; i < shape_size(arg0_shape); i++) {
diff --git a/src/core/reference/include/openvino/reference/avg_pool.hpp b/src/core/reference/include/openvino/reference/avg_pool.hpp
index 42afecb6df8..bb7bd25d933 100644
--- a/src/core/reference/include/openvino/reference/avg_pool.hpp
+++ b/src/core/reference/include/openvino/reference/avg_pool.hpp
@@ -11,11 +11,10 @@
 #include <vector>
 
 #include "ngraph/axis_vector.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void avg_pool_backprop(const T* delta,
@@ -231,5 +230,4 @@ void avg_pool(const T* arg,
     NGRAPH_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/batch_norm.hpp b/src/core/reference/include/openvino/reference/batch_norm.hpp
index b32211b4261..15e10cd5c91 100644
--- a/src/core/reference/include/openvino/reference/batch_norm.hpp
+++ b/src/core/reference/include/openvino/reference/batch_norm.hpp
@@ -7,11 +7,10 @@
 #include <cmath>
 #include <vector>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 static inline T norm(T val, T mean, T var, T eps) {
@@ -46,5 +45,4 @@ void batch_norm_inference(float eps,
     NGRAPH_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/binary_convolution.hpp b/src/core/reference/include/openvino/reference/binary_convolution.hpp
index 4e23fd4b797..bf3e16beae2 100644
--- a/src/core/reference/include/openvino/reference/binary_convolution.hpp
+++ b/src/core/reference/include/openvino/reference/binary_convolution.hpp
@@ -7,8 +7,7 @@
 #include "ngraph/shape.hpp"
 #include "openvino/reference/convolution.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace details {
 inline uint8_t extract_bit(uint8_t val, uint8_t bit) {
@@ -143,5 +142,4 @@ void binary_convolution(const T_IN* in,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/broadcast.hpp b/src/core/reference/include/openvino/reference/broadcast.hpp
index 5afaa7a6a6c..abad1b8ce5e 100644
--- a/src/core/reference/include/openvino/reference/broadcast.hpp
+++ b/src/core/reference/include/openvino/reference/broadcast.hpp
@@ -7,8 +7,7 @@
 #include "ngraph/axis_set.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void broadcast(const char* arg,
                char* out,
@@ -17,5 +16,4 @@ void broadcast(const char* arg,
                const AxisSet& broadcast_axes,
                size_t elem_size);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/bucketize.hpp b/src/core/reference/include/openvino/reference/bucketize.hpp
index 8605d9e250c..2288d15388d 100644
--- a/src/core/reference/include/openvino/reference/bucketize.hpp
+++ b/src/core/reference/include/openvino/reference/bucketize.hpp
@@ -8,8 +8,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename B, typename P>
 void bucketize(const T* data,
@@ -40,7 +39,4 @@ void bucketize(const T* data,
 }
 
 }  // namespace reference
-
-}  // namespace runtime
-
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/ceiling.hpp b/src/core/reference/include/openvino/reference/ceiling.hpp
index a3d9bbd5d06..e6aafae44f3 100644
--- a/src/core/reference/include/openvino/reference/ceiling.hpp
+++ b/src/core/reference/include/openvino/reference/ceiling.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void ceiling(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void ceiling(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/clamp.hpp b/src/core/reference/include/openvino/reference/clamp.hpp
index bcd4adc65e4..1370d28d6a8 100644
--- a/src/core/reference/include/openvino/reference/clamp.hpp
+++ b/src/core/reference/include/openvino/reference/clamp.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void clamp(const T* arg, T* out, T min, T max, size_t count) {
@@ -23,5 +22,4 @@ void clamp(const T* arg, T* out, T min, T max, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/concat.hpp b/src/core/reference/include/openvino/reference/concat.hpp
index 7de016824f4..6d210a2244b 100644
--- a/src/core/reference/include/openvino/reference/concat.hpp
+++ b/src/core/reference/include/openvino/reference/concat.hpp
@@ -8,8 +8,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void concat(const std::vector<const char*>& args,
             char* out,
@@ -18,5 +17,4 @@ void concat(const std::vector<const char*>& args,
             int64_t concatenation_axis,
             size_t elem_size);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/constant.hpp b/src/core/reference/include/openvino/reference/constant.hpp
index 2de230e4931..2c0a6add560 100644
--- a/src/core/reference/include/openvino/reference/constant.hpp
+++ b/src/core/reference/include/openvino/reference/constant.hpp
@@ -6,8 +6,7 @@
 
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void constant(const T* arg0, T* out, size_t count) {
@@ -16,5 +15,4 @@ void constant(const T* arg0, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/convert.hpp b/src/core/reference/include/openvino/reference/convert.hpp
index a05b34d50a0..d95ce275328 100644
--- a/src/core/reference/include/openvino/reference/convert.hpp
+++ b/src/core/reference/include/openvino/reference/convert.hpp
@@ -9,8 +9,7 @@
 #include "ngraph/type/element_type.hpp"
 #include "ngraph/type/float16.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace detail {
 inline void set_u1(uint8_t* buf, size_t idx, uint8_t val) {
@@ -130,5 +129,4 @@ typename std::enable_if<std::is_same<TO, char>::value>::type convert(const TI* a
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/convert_color_nv12.hpp b/src/core/reference/include/openvino/reference/convert_color_nv12.hpp
index 9814d4389e4..4e8db24eb29 100644
--- a/src/core/reference/include/openvino/reference/convert_color_nv12.hpp
+++ b/src/core/reference/include/openvino/reference/convert_color_nv12.hpp
@@ -10,8 +10,7 @@
 #include "openvino/op/util/convert_color_i420_base.hpp"
 #include "openvino/op/util/convert_color_nv12_base.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 template <typename T>
@@ -206,5 +205,4 @@ inline bool color_convert_i420(const std::shared_ptr<Node>& op,
 
 OPENVINO_SUPPRESS_DEPRECATED_END
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/convolution.hpp b/src/core/reference/include/openvino/reference/convolution.hpp
index bbf463d3e8b..6a26372befe 100644
--- a/src/core/reference/include/openvino/reference/convolution.hpp
+++ b/src/core/reference/include/openvino/reference/convolution.hpp
@@ -8,8 +8,7 @@
 
 #include "ngraph/util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 
@@ -407,8 +406,7 @@ void convolution(const T* in,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
 
 // can't be removed currently due to arm-plugin dependency
 #include "openvino/reference/convolution_backprop_data.hpp"
diff --git a/src/core/reference/include/openvino/reference/convolution_backprop_data.hpp b/src/core/reference/include/openvino/reference/convolution_backprop_data.hpp
index d1ded434b6d..05d6e8d559a 100644
--- a/src/core/reference/include/openvino/reference/convolution_backprop_data.hpp
+++ b/src/core/reference/include/openvino/reference/convolution_backprop_data.hpp
@@ -14,8 +14,7 @@
 #include "openvino/reference/convolution.hpp"
 #include "openvino/reference/reverse.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 constexpr size_t filter_input_ch_axis = 0;
@@ -395,5 +394,4 @@ void convolution_backprop_in(const T* delta_in,
                               output_padding);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/copy.hpp b/src/core/reference/include/openvino/reference/copy.hpp
index b11ae659da1..3e3d4910584 100644
--- a/src/core/reference/include/openvino/reference/copy.hpp
+++ b/src/core/reference/include/openvino/reference/copy.hpp
@@ -6,8 +6,7 @@
 
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void copy(const T* arg, T* out, size_t count) {
@@ -16,5 +15,4 @@ void copy(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/ctc_greedy_decoder.hpp b/src/core/reference/include/openvino/reference/ctc_greedy_decoder.hpp
index bed3122ddb8..1cab6887744 100644
--- a/src/core/reference/include/openvino/reference/ctc_greedy_decoder.hpp
+++ b/src/core/reference/include/openvino/reference/ctc_greedy_decoder.hpp
@@ -8,9 +8,9 @@
 #include <limits>
 #include <vector>
 
-#include "ngraph/coordinate_transform.hpp"
-namespace ngraph {
-namespace runtime {
+#include "openvino/reference/utils/coordinate_transform.hpp"
+
+namespace ov {
 namespace reference {
 template <typename T>
 void ctc_greedy_decoder(const T* data,
@@ -20,7 +20,7 @@ void ctc_greedy_decoder(const T* data,
                         const Shape& sequence_masks_shape,
                         const Shape& out_shape,
                         const bool ctc_merge_repeated) {
-    NGRAPH_SUPPRESS_DEPRECATED_START
+    OPENVINO_SUPPRESS_DEPRECATED_START
     const auto max_seq_len = data_shape[0];
     const auto batch_size = data_shape[1];
     const auto class_count = data_shape[2];
@@ -59,8 +59,7 @@ void ctc_greedy_decoder(const T* data,
         }
     }
     std::copy(tmp_out.begin(), tmp_out.end(), out);
-    NGRAPH_SUPPRESS_DEPRECATED_END
+    OPENVINO_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/ctc_greedy_decoder_seq_len.hpp b/src/core/reference/include/openvino/reference/ctc_greedy_decoder_seq_len.hpp
index 200e3e15b90..bf3e28e339d 100644
--- a/src/core/reference/include/openvino/reference/ctc_greedy_decoder_seq_len.hpp
+++ b/src/core/reference/include/openvino/reference/ctc_greedy_decoder_seq_len.hpp
@@ -8,9 +8,8 @@
 #include <limits>
 #include <vector>
 
-#include "ngraph/coordinate_transform.hpp"
-namespace ngraph {
-namespace runtime {
+#include "openvino/reference/utils/coordinate_transform.hpp"
+namespace ov {
 namespace reference {
 template <typename TF, typename TI, typename TCI, typename TSL>
 void ctc_greedy_decoder_seq_len(const TF* data,
@@ -44,5 +43,4 @@ void ctc_greedy_decoder_seq_len(const TF* data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/ctc_loss.hpp b/src/core/reference/include/openvino/reference/ctc_loss.hpp
index dc4fc81c70e..03fae356ad6 100644
--- a/src/core/reference/include/openvino/reference/ctc_loss.hpp
+++ b/src/core/reference/include/openvino/reference/ctc_loss.hpp
@@ -8,8 +8,7 @@
 
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 void CTCLoss(const T* logits,
@@ -162,5 +161,4 @@ void CTCLoss(const T* logits,
     }  // for (size_t b = 0; b < batchNum; b++)
 }  // CTCLoss
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/cum_sum.hpp b/src/core/reference/include/openvino/reference/cum_sum.hpp
index 636189a8204..df517f0f7b7 100644
--- a/src/core/reference/include/openvino/reference/cum_sum.hpp
+++ b/src/core/reference/include/openvino/reference/cum_sum.hpp
@@ -6,8 +6,7 @@
 
 #include <cmath>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 template <typename T, typename P>
@@ -42,5 +41,4 @@ void cumsum(const T* arg,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/deformable_convolution.hpp b/src/core/reference/include/openvino/reference/deformable_convolution.hpp
index 536a2d9ffc6..e3b553352c2 100644
--- a/src/core/reference/include/openvino/reference/deformable_convolution.hpp
+++ b/src/core/reference/include/openvino/reference/deformable_convolution.hpp
@@ -6,8 +6,7 @@
 
 #include "openvino/reference/convolution.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace def_conv_impl {
 inline void validate_deformable_convolution_params(const Shape& in_shape,
@@ -316,5 +315,4 @@ void deformable_convolution(const T* in,
                            bilinear_interpolation_pad);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/deformable_psroi_pooling.hpp b/src/core/reference/include/openvino/reference/deformable_psroi_pooling.hpp
index 1f5348946dc..5c1d5fed7df 100644
--- a/src/core/reference/include/openvino/reference/deformable_psroi_pooling.hpp
+++ b/src/core/reference/include/openvino/reference/deformable_psroi_pooling.hpp
@@ -16,8 +16,7 @@
 #include "clamp.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void deformable_psroi_pooling(const T* data_input,
@@ -172,5 +171,4 @@ void deformable_psroi_pooling(const T* data_input,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/depth_to_space.hpp b/src/core/reference/include/openvino/reference/depth_to_space.hpp
index c79cbd69242..d895354aad0 100644
--- a/src/core/reference/include/openvino/reference/depth_to_space.hpp
+++ b/src/core/reference/include/openvino/reference/depth_to_space.hpp
@@ -7,16 +7,14 @@
 #include "ngraph/op/depth_to_space.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void depth_to_space(const char* const in,
                     const Shape& in_shape,
                     char* const out,
                     const Shape& out_shape,
                     const size_t block_size,
-                    const op::DepthToSpace::DepthToSpaceMode mode,
+                    const op::v0::DepthToSpace::DepthToSpaceMode mode,
                     const size_t elem_size);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/detection_output.hpp b/src/core/reference/include/openvino/reference/detection_output.hpp
index 76b7a6945f0..b55ad70916d 100644
--- a/src/core/reference/include/openvino/reference/detection_output.hpp
+++ b/src/core/reference/include/openvino/reference/detection_output.hpp
@@ -13,8 +13,7 @@
 #include "ngraph/op/util/detection_output_base.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 enum { idxLocation, idxConfidence, idxPriors, idxArmConfidence, idxArmLocation, numInputs };
 
@@ -588,5 +587,4 @@ public:
     }
 };
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/divide.hpp b/src/core/reference/include/openvino/reference/divide.hpp
index e126c93bec9..858d8f4f696 100644
--- a/src/core/reference/include/openvino/reference/divide.hpp
+++ b/src/core/reference/include/openvino/reference/divide.hpp
@@ -9,13 +9,12 @@
 #include <type_traits>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
 #include "ngraph/type/bfloat16.hpp"
 #include "ngraph/type/float16.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 // NOTE: Execution throws `std::domain_error` if either a non-integral value or an
 // out-of-bounds value is detected in the input tensor.
@@ -110,5 +109,4 @@ divide(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/einsum.hpp b/src/core/reference/include/openvino/reference/einsum.hpp
index 99ffcc74f4c..667a923739c 100644
--- a/src/core/reference/include/openvino/reference/einsum.hpp
+++ b/src/core/reference/include/openvino/reference/einsum.hpp
@@ -9,10 +9,8 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void einsum(const HostTensorVector& outputs, const HostTensorVector& inputs, const std::string& equation);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/elu.hpp b/src/core/reference/include/openvino/reference/elu.hpp
index 6f1e10942b9..6ae9d6467aa 100644
--- a/src/core/reference/include/openvino/reference/elu.hpp
+++ b/src/core/reference/include/openvino/reference/elu.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void elu(const T* arg, T* out, size_t count, double alpha) {
@@ -17,5 +16,4 @@ void elu(const T* arg, T* out, size_t count, double alpha) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/embedding_bag_offsets_sum.hpp b/src/core/reference/include/openvino/reference/embedding_bag_offsets_sum.hpp
index ca36a096b61..d6b03e1fbc5 100644
--- a/src/core/reference/include/openvino/reference/embedding_bag_offsets_sum.hpp
+++ b/src/core/reference/include/openvino/reference/embedding_bag_offsets_sum.hpp
@@ -6,8 +6,7 @@
 
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 void embeddingBagOffsetsSum(const T* emb_table,
@@ -93,5 +92,4 @@ void embeddingBagOffsetsSum(const T* emb_table,
 }  // embeddingBagOffsetsSum
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/embedding_bag_packed_sum.hpp b/src/core/reference/include/openvino/reference/embedding_bag_packed_sum.hpp
index ea4cc48cefc..f16b2355b94 100644
--- a/src/core/reference/include/openvino/reference/embedding_bag_packed_sum.hpp
+++ b/src/core/reference/include/openvino/reference/embedding_bag_packed_sum.hpp
@@ -6,8 +6,7 @@
 
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 void embeddingBagPackedSum(const T* emb_table,
@@ -47,5 +46,4 @@ void embeddingBagPackedSum(const T* emb_table,
 }  // embeddingBagPackedSum
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/embedding_segments_sum.hpp b/src/core/reference/include/openvino/reference/embedding_segments_sum.hpp
index 8b4a833bf66..f11947fac9b 100644
--- a/src/core/reference/include/openvino/reference/embedding_segments_sum.hpp
+++ b/src/core/reference/include/openvino/reference/embedding_segments_sum.hpp
@@ -6,8 +6,7 @@
 
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 void embeddingSegmentsSum(const T* embTable,
@@ -72,5 +71,4 @@ void embeddingSegmentsSum(const T* embTable,
 }  // embeddingSegmentsSum
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/equal.hpp b/src/core/reference/include/openvino/reference/equal.hpp
index 58b6c39cf87..62554f9b4a2 100644
--- a/src/core/reference/include/openvino/reference/equal.hpp
+++ b/src/core/reference/include/openvino/reference/equal.hpp
@@ -12,11 +12,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void equal(const T* arg0,
@@ -41,8 +40,7 @@ void equal(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
 
 #if defined(__GNUC__)
 #    pragma GCC diagnostic pop
diff --git a/src/core/reference/include/openvino/reference/erf.hpp b/src/core/reference/include/openvino/reference/erf.hpp
index 331cc4ab87e..09ff245dd49 100644
--- a/src/core/reference/include/openvino/reference/erf.hpp
+++ b/src/core/reference/include/openvino/reference/erf.hpp
@@ -11,8 +11,7 @@
 #include "ngraph/type/bfloat16.hpp"
 #include "ngraph/type/float16.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename std::enable_if<!std::is_integral<T>::value, bool>::type = true>
 void erf(const T* arg, T* out, size_t count) {
@@ -28,5 +27,4 @@ void erf(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/exp.hpp b/src/core/reference/include/openvino/reference/exp.hpp
index 74b182c64e0..1f7bf80e2c3 100644
--- a/src/core/reference/include/openvino/reference/exp.hpp
+++ b/src/core/reference/include/openvino/reference/exp.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void exp(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void exp(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/experimental_detectron_detection_output.hpp b/src/core/reference/include/openvino/reference/experimental_detectron_detection_output.hpp
index b2147fe9c46..c2ba17605e6 100644
--- a/src/core/reference/include/openvino/reference/experimental_detectron_detection_output.hpp
+++ b/src/core/reference/include/openvino/reference/experimental_detectron_detection_output.hpp
@@ -27,8 +27,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void experimental_detectron_detection_output(const float* input_rois,
                                              const float* input_deltas,
@@ -50,5 +49,4 @@ void experimental_detectron_detection_output_postprocessing(void* pboxes,
                                                             const Shape& output_classes_shape,
                                                             const Shape& output_scores_shape);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/experimental_detectron_prior_grid_generator.hpp b/src/core/reference/include/openvino/reference/experimental_detectron_prior_grid_generator.hpp
index 1d0ecb7ab8b..565baefb5e1 100644
--- a/src/core/reference/include/openvino/reference/experimental_detectron_prior_grid_generator.hpp
+++ b/src/core/reference/include/openvino/reference/experimental_detectron_prior_grid_generator.hpp
@@ -26,8 +26,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void experimental_detectron_prior_grid_generator(const T* priors,
@@ -58,5 +57,4 @@ void experimental_detectron_prior_grid_generator(const T* priors,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/experimental_detectron_proposal_single_image.hpp b/src/core/reference/include/openvino/reference/experimental_detectron_proposal_single_image.hpp
index a46a1303d53..4e890c051e3 100644
--- a/src/core/reference/include/openvino/reference/experimental_detectron_proposal_single_image.hpp
+++ b/src/core/reference/include/openvino/reference/experimental_detectron_proposal_single_image.hpp
@@ -15,8 +15,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void experimental_detectron_proposals_single_image(
     const float* im_info,
@@ -39,5 +38,4 @@ void experimental_detectron_proposals_single_image_postprocessing(void* prois,
                                                                   const Shape& output_rois_shape,
                                                                   const Shape& output_scores_shape);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/experimental_detectron_roi_feature_extractor.hpp b/src/core/reference/include/openvino/reference/experimental_detectron_roi_feature_extractor.hpp
index 3997c7f73b7..df8edf00986 100644
--- a/src/core/reference/include/openvino/reference/experimental_detectron_roi_feature_extractor.hpp
+++ b/src/core/reference/include/openvino/reference/experimental_detectron_roi_feature_extractor.hpp
@@ -14,8 +14,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void experimental_detectron_roi_feature_extractor(
     const std::vector<std::vector<float>>& inputs,
@@ -32,5 +31,4 @@ void experimental_detectron_roi_feature_extractor_postprocessing(void* prois_fea
                                                                  const Shape& output_roi_features_shape,
                                                                  const Shape& output_rois_shape);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/experimental_detectron_topk_rois.hpp b/src/core/reference/include/openvino/reference/experimental_detectron_topk_rois.hpp
index c2ca9cd0b28..8f29fc33161 100644
--- a/src/core/reference/include/openvino/reference/experimental_detectron_topk_rois.hpp
+++ b/src/core/reference/include/openvino/reference/experimental_detectron_topk_rois.hpp
@@ -15,8 +15,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void experimental_detectron_topk_rois(const T* input_rois,
@@ -43,5 +42,4 @@ void experimental_detectron_topk_rois(const T* input_rois,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/extract_image_patches.hpp b/src/core/reference/include/openvino/reference/extract_image_patches.hpp
index 0d1f748b7e3..c6130c38906 100644
--- a/src/core/reference/include/openvino/reference/extract_image_patches.hpp
+++ b/src/core/reference/include/openvino/reference/extract_image_patches.hpp
@@ -6,11 +6,10 @@
 
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
-void extract_image_patches(const std::shared_ptr<op::ExtractImagePatches> extImgPatches,
+void extract_image_patches(const std::shared_ptr<op::v3::ExtractImagePatches> extImgPatches,
                            const T* input,
                            T* out,
                            const Shape& inShape,
@@ -115,5 +114,4 @@ void extract_image_patches(const std::shared_ptr<op::ExtractImagePatches> extImg
 }  // extractImagePatches
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/eye.hpp b/src/core/reference/include/openvino/reference/eye.hpp
index d16821ee994..328c7f942a2 100644
--- a/src/core/reference/include/openvino/reference/eye.hpp
+++ b/src/core/reference/include/openvino/reference/eye.hpp
@@ -9,8 +9,7 @@
 #include "ngraph/shape.hpp"
 #include "utils/span.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void eye(T* data, const Shape& out_shape, const int64_t diagonal_index) {
@@ -37,5 +36,4 @@ void eye(T* data, const Shape& out_shape, const int64_t diagonal_index) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/fake_quantize.hpp b/src/core/reference/include/openvino/reference/fake_quantize.hpp
index cf98032f4c1..a9122ede16e 100644
--- a/src/core/reference/include/openvino/reference/fake_quantize.hpp
+++ b/src/core/reference/include/openvino/reference/fake_quantize.hpp
@@ -12,13 +12,12 @@
 #include <vector>
 
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/op/util/attr_types.hpp"
 #include "ngraph/shape.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace fake_quantize_details {
 template <typename T>
@@ -158,11 +157,11 @@ void fake_quantize(const T* const arg,
 
         for (const Coordinate& output_coord : output_transform) {
             OPENVINO_SUPPRESS_DEPRECATED_START
-            const Coordinate arg0_coord = reduce(output_coord, arg0_squeezed_axes, false);
-            const Coordinate arg1_coord = reduce(output_coord, arg1_squeezed_axes, false);
-            const Coordinate arg2_coord = reduce(output_coord, arg2_squeezed_axes, false);
-            const Coordinate arg3_coord = reduce(output_coord, arg3_squeezed_axes, false);
-            const Coordinate arg4_coord = reduce(output_coord, arg4_squeezed_axes, false);
+            const Coordinate arg0_coord = ngraph::reduce(output_coord, arg0_squeezed_axes, false);
+            const Coordinate arg1_coord = ngraph::reduce(output_coord, arg1_squeezed_axes, false);
+            const Coordinate arg2_coord = ngraph::reduce(output_coord, arg2_squeezed_axes, false);
+            const Coordinate arg3_coord = ngraph::reduce(output_coord, arg3_squeezed_axes, false);
+            const Coordinate arg4_coord = ngraph::reduce(output_coord, arg4_squeezed_axes, false);
             OPENVINO_SUPPRESS_DEPRECATED_END
 
             const size_t arg0_idx =
@@ -187,5 +186,4 @@ void fake_quantize(const T* const arg,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/fft.hpp b/src/core/reference/include/openvino/reference/fft.hpp
index 44677fc2176..f35ef8ce79b 100644
--- a/src/core/reference/include/openvino/reference/fft.hpp
+++ b/src/core/reference/include/openvino/reference/fft.hpp
@@ -31,8 +31,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 enum class FFTKind { Forward, Inverse };
 
@@ -52,5 +51,4 @@ std::vector<int64_t> canonicalize_axes(const int64_t* axes_data,
                                        const Shape& axes_data_shape,
                                        int64_t complex_data_rank);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/floor.hpp b/src/core/reference/include/openvino/reference/floor.hpp
index 5ef7faa36d3..d7fca06c5f3 100644
--- a/src/core/reference/include/openvino/reference/floor.hpp
+++ b/src/core/reference/include/openvino/reference/floor.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void floor(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void floor(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/floor_mod.hpp b/src/core/reference/include/openvino/reference/floor_mod.hpp
index edd1c164504..09add88410d 100644
--- a/src/core/reference/include/openvino/reference/floor_mod.hpp
+++ b/src/core/reference/include/openvino/reference/floor_mod.hpp
@@ -7,11 +7,10 @@
 #include <cmath>
 #include <cstddef>
 
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void floor_mod(const T* arg0,
@@ -28,5 +27,4 @@ void floor_mod(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/function.hpp b/src/core/reference/include/openvino/reference/function.hpp
index 628241e2918..575821e81b4 100644
--- a/src/core/reference/include/openvino/reference/function.hpp
+++ b/src/core/reference/include/openvino/reference/function.hpp
@@ -8,12 +8,10 @@
 #include <cstddef>
 #include <vector>
 
-#include "ngraph/function.hpp"
+#include "openvino/core/model.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
-void function(const std::shared_ptr<Function>& function, const HostTensorVector& inputs, HostTensorVector& outputs);
+void function(const std::shared_ptr<Model>& function, const HostTensorVector& inputs, HostTensorVector& outputs);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/gather.hpp b/src/core/reference/include/openvino/reference/gather.hpp
index 82a7fb50188..30a52889a7b 100644
--- a/src/core/reference/include/openvino/reference/gather.hpp
+++ b/src/core/reference/include/openvino/reference/gather.hpp
@@ -9,8 +9,7 @@
 #include "ngraph/shape.hpp"
 #include "utils/span.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 void gather(const T* const data,
@@ -57,5 +56,4 @@ void gather(const T* const data,
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/gather_elements.hpp b/src/core/reference/include/openvino/reference/gather_elements.hpp
index 43105f74638..0f269123ec8 100644
--- a/src/core/reference/include/openvino/reference/gather_elements.hpp
+++ b/src/core/reference/include/openvino/reference/gather_elements.hpp
@@ -4,11 +4,9 @@
 
 #pragma once
 
-#include "ngraph/coordinate_index.hpp"
-#include "ngraph/coordinate_transform.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 void gather_elements(const T* data,
@@ -109,5 +107,4 @@ void gather_elements(const T* data,
             }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/gather_nd.hpp b/src/core/reference/include/openvino/reference/gather_nd.hpp
index 0bae63818ff..6ca656b66a7 100644
--- a/src/core/reference/include/openvino/reference/gather_nd.hpp
+++ b/src/core/reference/include/openvino/reference/gather_nd.hpp
@@ -8,11 +8,10 @@
 #include <cassert>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 #include "utils/span.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace details {
 template <typename Iterator>
@@ -106,5 +105,4 @@ void gather_nd(const T* const params,
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/gather_tree.hpp b/src/core/reference/include/openvino/reference/gather_tree.hpp
index 7f9ee725a83..5ac49c4c337 100644
--- a/src/core/reference/include/openvino/reference/gather_tree.hpp
+++ b/src/core/reference/include/openvino/reference/gather_tree.hpp
@@ -7,8 +7,7 @@
 #include "ngraph/shape.hpp"
 #include "ngraph/type/element_type.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void gather_tree(const char* step_ids,
                  const char* parent_ids,
@@ -21,5 +20,4 @@ void gather_tree(const char* step_ids,
                  const Shape& end_token_shape,
                  const element::Type& type);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/gelu.hpp b/src/core/reference/include/openvino/reference/gelu.hpp
index c361c981319..d67bcd8827d 100644
--- a/src/core/reference/include/openvino/reference/gelu.hpp
+++ b/src/core/reference/include/openvino/reference/gelu.hpp
@@ -8,8 +8,7 @@
 #include <cstddef>
 #include <ngraph/op/gelu.hpp>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void gelu(const T* arg, T* out, op::GeluApproximationMode mode, size_t count) {
@@ -27,5 +26,4 @@ void gelu(const T* arg, T* out, op::GeluApproximationMode mode, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/generate_proposal.hpp b/src/core/reference/include/openvino/reference/generate_proposal.hpp
index e418779de48..ae29efa0cc3 100644
--- a/src/core/reference/include/openvino/reference/generate_proposal.hpp
+++ b/src/core/reference/include/openvino/reference/generate_proposal.hpp
@@ -15,8 +15,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void generate_proposals(const std::vector<float>& im_info,
                         const std::vector<float>& anchors,
@@ -43,5 +42,4 @@ void generate_proposals_postprocessing(void* prois,
                                        const Shape& output_scores_shape);
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/greater.hpp b/src/core/reference/include/openvino/reference/greater.hpp
index a951bcb9356..41128fc1c5d 100644
--- a/src/core/reference/include/openvino/reference/greater.hpp
+++ b/src/core/reference/include/openvino/reference/greater.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void greater(const T* arg0,
@@ -36,5 +35,4 @@ void greater(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/greater_eq.hpp b/src/core/reference/include/openvino/reference/greater_eq.hpp
index 0c3a884f598..5072604a413 100644
--- a/src/core/reference/include/openvino/reference/greater_eq.hpp
+++ b/src/core/reference/include/openvino/reference/greater_eq.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void greater_eq(const T* arg0,
@@ -36,5 +35,4 @@ void greater_eq(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/grid_sample.hpp b/src/core/reference/include/openvino/reference/grid_sample.hpp
index ed3afda4601..9ad50767dc2 100644
--- a/src/core/reference/include/openvino/reference/grid_sample.hpp
+++ b/src/core/reference/include/openvino/reference/grid_sample.hpp
@@ -13,8 +13,7 @@
 #include "ngraph/shape.hpp"
 #include "openvino/op/grid_sample.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 
@@ -295,5 +294,4 @@ void grid_sample(DATA_ET* output,
     std::fesetround(prev_rounding_mode);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/grn.hpp b/src/core/reference/include/openvino/reference/grn.hpp
index 731d0af38cb..e05962e6154 100644
--- a/src/core/reference/include/openvino/reference/grn.hpp
+++ b/src/core/reference/include/openvino/reference/grn.hpp
@@ -6,13 +6,11 @@
 
 #include "openvino/reference/normalize_l2.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void grn(const T* data, T* out, float bias, const Shape& data_shape) {
     normalize_l2(data, out, data_shape, {1}, bias, op::EpsMode::ADD);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/group_convolution.hpp b/src/core/reference/include/openvino/reference/group_convolution.hpp
index d819bb17240..0ae26e696b6 100644
--- a/src/core/reference/include/openvino/reference/group_convolution.hpp
+++ b/src/core/reference/include/openvino/reference/group_convolution.hpp
@@ -16,8 +16,7 @@ constexpr size_t out_batch_axis = 0;
 constexpr size_t out_channel_axis = 1;
 }  // namespace
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void validate_group_convolution_parameters(const Shape& in_shape,
                                            const Shape& f_shape,
@@ -72,16 +71,16 @@ void group_convolution(const INPUT* in,
     for (size_t batch_idx = 0; batch_idx < in_shape[in_batch_axis]; ++batch_idx) {
         group_filter = f;
         for (size_t group_idx = 0; group_idx < group_count; ++group_idx) {
-            runtime::reference::convolution(group_batch,
-                                            group_filter,
-                                            group_out,
-                                            group_batch_shape,
-                                            group_filter_shape,
-                                            group_out_shape,
-                                            strides,
-                                            dilation,
-                                            pads_begin,
-                                            pads_end);
+            reference::convolution(group_batch,
+                                   group_filter,
+                                   group_out,
+                                   group_batch_shape,
+                                   group_filter_shape,
+                                   group_out_shape,
+                                   strides,
+                                   dilation,
+                                   pads_begin,
+                                   pads_end);
             group_batch += group_batch_size;
             group_filter += group_filter_size;
             group_out += group_out_size;
@@ -89,5 +88,4 @@ void group_convolution(const INPUT* in,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/group_convolution_backprop_data.hpp b/src/core/reference/include/openvino/reference/group_convolution_backprop_data.hpp
index f57c18b34e9..d64c63734a1 100644
--- a/src/core/reference/include/openvino/reference/group_convolution_backprop_data.hpp
+++ b/src/core/reference/include/openvino/reference/group_convolution_backprop_data.hpp
@@ -7,8 +7,7 @@
 #include "ngraph/util.hpp"
 #include "openvino/reference/group_convolution.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 void infer_backward_conv_output_shape(const Shape& in_spatial_shape,
@@ -80,18 +79,18 @@ void group_convolution_backprop_data(const T* in,
     for (size_t batch_idx = 0; batch_idx < in_shape[in_batch_axis]; ++batch_idx) {
         group_filter = f;
         for (size_t group_idx = 0; group_idx < group_count; ++group_idx) {
-            runtime::reference::convolution_backprop_in(group_batch,
-                                                        group_filter,
-                                                        group_out,
-                                                        group_batch_shape,
-                                                        group_filter_shape,
-                                                        group_out_shape,
-                                                        in_dilation,
-                                                        dilation,
-                                                        pads_begin,
-                                                        pads_end,
-                                                        strides,
-                                                        output_padding);
+            reference::convolution_backprop_in(group_batch,
+                                               group_filter,
+                                               group_out,
+                                               group_batch_shape,
+                                               group_filter_shape,
+                                               group_out_shape,
+                                               in_dilation,
+                                               dilation,
+                                               pads_begin,
+                                               pads_end,
+                                               strides,
+                                               output_padding);
             group_batch += group_batch_size;
             group_filter += group_filter_size;
             group_out += group_out_size;
@@ -129,5 +128,4 @@ void group_convolution_backprop_data(const INPUT* in,
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/group_normalization.hpp b/src/core/reference/include/openvino/reference/group_normalization.hpp
index 542facf2a73..35a215b7123 100644
--- a/src/core/reference/include/openvino/reference/group_normalization.hpp
+++ b/src/core/reference/include/openvino/reference/group_normalization.hpp
@@ -23,7 +23,6 @@ void group_normalization(const T* const data,
                          const size_t num_groups,
                          const double epsilon) {
     using namespace std;
-    using namespace ngraph::runtime::reference;
 
     const auto num_batches = data_shape[0];
     const auto num_channels = data_shape[1];
diff --git a/src/core/reference/include/openvino/reference/gru_cell.hpp b/src/core/reference/include/openvino/reference/gru_cell.hpp
index da6042eccdb..9211650b757 100644
--- a/src/core/reference/include/openvino/reference/gru_cell.hpp
+++ b/src/core/reference/include/openvino/reference/gru_cell.hpp
@@ -16,8 +16,7 @@
 #include "openvino/reference/subtract.hpp"
 #include "openvino/reference/tanh.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void gru_cell(const T* X,
@@ -216,5 +215,4 @@ void gru_cell(const T* X,
     reference::add(mul1.data(), mul2.data(), dst_data, gate_shape, gate_shape, op::AutoBroadcastType::NUMPY);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/hard_sigmoid.hpp b/src/core/reference/include/openvino/reference/hard_sigmoid.hpp
index e0173495343..4dd92870791 100644
--- a/src/core/reference/include/openvino/reference/hard_sigmoid.hpp
+++ b/src/core/reference/include/openvino/reference/hard_sigmoid.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void hard_sigmoid(const T* arg, const T alpha, const T beta, T* out, size_t count) {
@@ -17,5 +16,4 @@ void hard_sigmoid(const T* arg, const T alpha, const T beta, T* out, size_t coun
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/helpers.hpp b/src/core/reference/include/openvino/reference/helpers.hpp
index 317e9b7eb56..2f2cfb3807e 100644
--- a/src/core/reference/include/openvino/reference/helpers.hpp
+++ b/src/core/reference/include/openvino/reference/helpers.hpp
@@ -4,8 +4,7 @@
 
 #pragma once
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 struct widen {
@@ -22,5 +21,4 @@ struct widen<double> {
     using type = long double;
 };
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/hsigmoid.hpp b/src/core/reference/include/openvino/reference/hsigmoid.hpp
index 8208f462e6c..069a12257e4 100644
--- a/src/core/reference/include/openvino/reference/hsigmoid.hpp
+++ b/src/core/reference/include/openvino/reference/hsigmoid.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void hsigmoid(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void hsigmoid(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/hswish.hpp b/src/core/reference/include/openvino/reference/hswish.hpp
index 7d1bf5449a1..65a0ca846c1 100644
--- a/src/core/reference/include/openvino/reference/hswish.hpp
+++ b/src/core/reference/include/openvino/reference/hswish.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void hswish(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void hswish(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/if.hpp b/src/core/reference/include/openvino/reference/if.hpp
index 28aae70ff8c..aaa47d0624b 100644
--- a/src/core/reference/include/openvino/reference/if.hpp
+++ b/src/core/reference/include/openvino/reference/if.hpp
@@ -6,16 +6,14 @@
 
 #include <cmath>
 
-#include "ngraph/op/util/multi_subgraph_base.hpp"
+#include "openvino/op/util/multi_subgraph_base.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
-void if_reference(const std::vector<std::shared_ptr<Function>>& body,
-                  const std::vector<op::util::MultiSubgraphOutputDescriptionVector>& out_descs,
-                  const std::vector<op::util::MultiSubgraphInputDescriptionVector>& input_descs,
+void if_reference(const std::vector<std::shared_ptr<Model>>& body,
+                  const std::vector<op::util::MultiSubGraphOp::MultiSubgraphOutputDescriptionVector>& out_descs,
+                  const std::vector<op::util::MultiSubGraphOp::MultiSubgraphInputDescriptionVector>& input_descs,
                   const HostTensorVector& out,
                   const HostTensorVector& args);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/interpolate.hpp b/src/core/reference/include/openvino/reference/interpolate.hpp
index c2eb4344ede..10b6a466f22 100644
--- a/src/core/reference/include/openvino/reference/interpolate.hpp
+++ b/src/core/reference/include/openvino/reference/interpolate.hpp
@@ -13,13 +13,12 @@
 #include <map>
 
 #include "interpolate_pil.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/op/interpolate.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 #include "transpose.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 using Nearest_mode = ngraph::op::v4::Interpolate::NearestMode;
 using Transform_mode = ngraph::op::v4::Interpolate::CoordinateTransformMode;
@@ -831,5 +830,4 @@ void interpolate(T* input_data,
     evaluator(reinterpret_cast<T*>(padded_data_ptr), padded_input_shape, scales, axes, out, out_shape);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/interpolate_pil.hpp b/src/core/reference/include/openvino/reference/interpolate_pil.hpp
index 93a2b9776f5..66a40c8f88c 100644
--- a/src/core/reference/include/openvino/reference/interpolate_pil.hpp
+++ b/src/core/reference/include/openvino/reference/interpolate_pil.hpp
@@ -44,8 +44,7 @@
 #include "ngraph/op/interpolate.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace interpolate_pil {
 
@@ -316,5 +315,4 @@ void imaging_resample_inner(const T* im_in,
 
 }  // namespace interpolate_pil
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/irdft.hpp b/src/core/reference/include/openvino/reference/irdft.hpp
index 29e3bc22030..a32c20e9765 100644
--- a/src/core/reference/include/openvino/reference/irdft.hpp
+++ b/src/core/reference/include/openvino/reference/irdft.hpp
@@ -8,8 +8,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void irdft(const std::vector<float>& input_data,
            const Shape& input_data_shape,
@@ -19,5 +18,4 @@ void irdft(const std::vector<float>& input_data,
            const Shape& irdft_output_shape,
            const int64_t last_signal_size);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/is_finite.hpp b/src/core/reference/include/openvino/reference/is_finite.hpp
index 19f6008c317..21677d0f9f9 100644
--- a/src/core/reference/include/openvino/reference/is_finite.hpp
+++ b/src/core/reference/include/openvino/reference/is_finite.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 typename std::enable_if<std::is_floating_point<T>::value, void>::type is_finite(const T* input,
@@ -28,5 +27,4 @@ typename std::enable_if<std::is_class<T>::value, void>::type is_finite(const T*
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/is_inf.hpp b/src/core/reference/include/openvino/reference/is_inf.hpp
index f73ded77e54..156dafcfe6e 100644
--- a/src/core/reference/include/openvino/reference/is_inf.hpp
+++ b/src/core/reference/include/openvino/reference/is_inf.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 typename std::enable_if<std::is_floating_point<T>::value, void>::type
@@ -54,5 +53,4 @@ typename std::enable_if<std::is_class<T>::value, void>::type is_inf(const T* inp
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/is_nan.hpp b/src/core/reference/include/openvino/reference/is_nan.hpp
index 1ca703e1e8c..47eed0e9944 100644
--- a/src/core/reference/include/openvino/reference/is_nan.hpp
+++ b/src/core/reference/include/openvino/reference/is_nan.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 typename std::enable_if<std::is_floating_point<T>::value, void>::type is_nan(const T* input, U* output, size_t count) {
@@ -25,5 +24,4 @@ typename std::enable_if<std::is_class<T>::value, void>::type is_nan(const T* inp
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/less.hpp b/src/core/reference/include/openvino/reference/less.hpp
index d8256243f2e..c4519726589 100644
--- a/src/core/reference/include/openvino/reference/less.hpp
+++ b/src/core/reference/include/openvino/reference/less.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void less(const T* arg0,
@@ -36,5 +35,4 @@ void less(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/less_eq.hpp b/src/core/reference/include/openvino/reference/less_eq.hpp
index ce1b3930438..80aff2fad73 100644
--- a/src/core/reference/include/openvino/reference/less_eq.hpp
+++ b/src/core/reference/include/openvino/reference/less_eq.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void less_eq(const T* arg0,
@@ -36,5 +35,4 @@ void less_eq(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/log.hpp b/src/core/reference/include/openvino/reference/log.hpp
index 8df50c2f9fa..fec6c959e29 100644
--- a/src/core/reference/include/openvino/reference/log.hpp
+++ b/src/core/reference/include/openvino/reference/log.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void log(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void log(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/log_softmax.hpp b/src/core/reference/include/openvino/reference/log_softmax.hpp
index 513d2d1eb5a..fb5d455b28a 100644
--- a/src/core/reference/include/openvino/reference/log_softmax.hpp
+++ b/src/core/reference/include/openvino/reference/log_softmax.hpp
@@ -6,18 +6,17 @@
 
 #include <cmath>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
 #include "openvino/reference/max.hpp"
 #include "openvino/reference/sum.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void log_softmax(const T* arg, T* out, const Shape& shape, const AxisSet& axes) {
     NGRAPH_SUPPRESS_DEPRECATED_START
-    auto temp_shape = reduce(shape, axes, true);
+    auto temp_shape = ngraph::reduce(shape, axes, true);
     auto temp_elements = shape_size(temp_shape);
     auto temp_max = std::vector<T>(temp_elements, 0);
     auto temp_sum = std::vector<T>(temp_elements, 0);
@@ -27,7 +26,7 @@ void log_softmax(const T* arg, T* out, const Shape& shape, const AxisSet& axes)
     CoordinateTransform transform(shape);
     CoordinateTransform temp_transform(temp_shape);
     for (const Coordinate& coord : transform) {
-        Coordinate temp_coord = reduce(coord, axes, true);
+        Coordinate temp_coord = ngraph::reduce(coord, axes, true);
         out[transform.index(coord)] =
             static_cast<T>(std::exp(arg[transform.index(coord)] - temp_max[temp_transform.index(temp_coord)]));
     }
@@ -35,7 +34,7 @@ void log_softmax(const T* arg, T* out, const Shape& shape, const AxisSet& axes)
     sum(out, temp_sum.data(), shape, axes);
 
     for (const Coordinate& coord : transform) {
-        Coordinate temp_coord = reduce(coord, axes, true);
+        Coordinate temp_coord = ngraph::reduce(coord, axes, true);
         out[transform.index(coord)] =
             static_cast<T>((arg[transform.index(coord)] - temp_max[temp_transform.index(temp_coord)]) -
                            std::log(temp_sum[temp_transform.index(temp_coord)]));
@@ -43,5 +42,4 @@ void log_softmax(const T* arg, T* out, const Shape& shape, const AxisSet& axes)
     NGRAPH_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/logical_reduction.hpp b/src/core/reference/include/openvino/reference/logical_reduction.hpp
index 6dd21b5c040..7fd88db5eaa 100644
--- a/src/core/reference/include/openvino/reference/logical_reduction.hpp
+++ b/src/core/reference/include/openvino/reference/logical_reduction.hpp
@@ -7,11 +7,10 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 OPENVINO_SUPPRESS_DEPRECATED_START
 static inline void reduce_logical_and(const char* arg,
@@ -19,7 +18,7 @@ static inline void reduce_logical_and(const char* arg,
                                       const Shape& in_shape,
                                       const AxisSet& reduction_axes) {
     constexpr bool dont_keep_dims_in_output = false;
-    const auto out_shape = reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
     std::fill(out, out + shape_size(out_shape), 1);
 
     const auto in_strides = row_major_strides(in_shape);
@@ -27,7 +26,7 @@ static inline void reduce_logical_and(const char* arg,
 
     CoordinateTransformBasic input_transform(in_shape);
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -39,7 +38,7 @@ static inline void reduce_logical_and(const char* arg,
 }
 
 static inline void reduce_logical_or(const char* arg, char* out, const Shape& in_shape, const AxisSet& reduction_axes) {
-    const auto out_shape = reduce(in_shape, reduction_axes, false);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, false);
     std::fill(out, out + shape_size(out_shape), 0);
 
     const auto in_strides = row_major_strides(in_shape);
@@ -47,7 +46,7 @@ static inline void reduce_logical_or(const char* arg, char* out, const Shape& in
 
     CoordinateTransformBasic input_transform(in_shape);
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, false);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, false);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -59,5 +58,4 @@ static inline void reduce_logical_or(const char* arg, char* out, const Shape& in
 }
 OPENVINO_SUPPRESS_DEPRECATED_END
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/loop.hpp b/src/core/reference/include/openvino/reference/loop.hpp
index 27ddbd0b477..f233aaf0089 100644
--- a/src/core/reference/include/openvino/reference/loop.hpp
+++ b/src/core/reference/include/openvino/reference/loop.hpp
@@ -5,17 +5,17 @@
 #pragma once
 
 #include <cmath>
-#include <ngraph/opsets/opset5.hpp>
 
-namespace ngraph {
-namespace runtime {
+#include "openvino/op/loop.hpp"
+#include "openvino/op/util/sub_graph_base.hpp"
+
+namespace ov {
 namespace reference {
-void loop(const std::shared_ptr<Function>& body,
+void loop(const std::shared_ptr<Model>& body,
           const op::util::OutputDescriptionVector& out_descs,
           const op::util::InputDescriptionVector& input_descs,
-          const opset5::Loop::SpecialBodyPorts& special_ports,
+          const op::v5::Loop::SpecialBodyPorts& special_ports,
           const HostTensorVector& out,
           const HostTensorVector& args);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/lrn.hpp b/src/core/reference/include/openvino/reference/lrn.hpp
index 6a47a7956e0..e3e2177ef21 100644
--- a/src/core/reference/include/openvino/reference/lrn.hpp
+++ b/src/core/reference/include/openvino/reference/lrn.hpp
@@ -8,11 +8,10 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 static size_t point_to_flat_idx(const Shape& shape, const std::vector<size_t>& point) {
     size_t idx = point[0];
@@ -97,5 +96,4 @@ void lrn(const T* arg,
     NGRAPH_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/lstm_cell.hpp b/src/core/reference/include/openvino/reference/lstm_cell.hpp
index 07ccd0d68d6..b82eef98ba9 100644
--- a/src/core/reference/include/openvino/reference/lstm_cell.hpp
+++ b/src/core/reference/include/openvino/reference/lstm_cell.hpp
@@ -16,8 +16,7 @@
 #include "openvino/reference/subtract.hpp"
 #include "openvino/reference/tanh.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void lstm_cell(const T* X,
@@ -365,5 +364,4 @@ void lstm_cell_v1(const T* X,
     reference::multiply(XHBPo.data(), Ct.data(), out_Ht, gate_shape, gate_shape, op::AutoBroadcastType::NUMPY);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/matmul.hpp b/src/core/reference/include/openvino/reference/matmul.hpp
index 312b9f2eee6..f05dd224f88 100644
--- a/src/core/reference/include/openvino/reference/matmul.hpp
+++ b/src/core/reference/include/openvino/reference/matmul.hpp
@@ -13,8 +13,7 @@
 #include "ngraph/shape_util.hpp"
 #include "openvino/reference/broadcast.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace details {
 template <typename T>
@@ -102,12 +101,12 @@ void matmul(const T* arg0,
         std::vector<T> tmp(shape_size(arg0_shape));
         auto axis_vector = details::get_transpose_order(arg0_shape);
         std::swap(arg0_shape_tmp[arg0_rank - 1], arg0_shape_tmp[arg0_rank - 2]);
-        opt_kernel::reshape(reinterpret_cast<const char*>(arg0_data),
-                            reinterpret_cast<char*>(tmp.data()),
-                            arg0_shape,
-                            axis_vector,
-                            arg0_shape_tmp,
-                            sizeof(T));
+        ngraph::runtime::opt_kernel::reshape(reinterpret_cast<const char*>(arg0_data),
+                                             reinterpret_cast<char*>(tmp.data()),
+                                             arg0_shape,
+                                             axis_vector,
+                                             arg0_shape_tmp,
+                                             sizeof(T));
         arg0_new_data.swap(tmp);
         arg0_data = arg0_new_data.data();
     }
@@ -116,12 +115,12 @@ void matmul(const T* arg0,
         std::vector<T> tmp(shape_size(arg1_shape));
         auto axis_vector = details::get_transpose_order(arg1_shape);
         std::swap(arg1_shape_tmp[arg1_rank - 1], arg1_shape_tmp[arg1_rank - 2]);
-        opt_kernel::reshape(reinterpret_cast<const char*>(arg1_data),
-                            reinterpret_cast<char*>(tmp.data()),
-                            arg1_shape,
-                            axis_vector,
-                            arg1_shape_tmp,
-                            sizeof(T));
+        ngraph::runtime::opt_kernel::reshape(reinterpret_cast<const char*>(arg1_data),
+                                             reinterpret_cast<char*>(tmp.data()),
+                                             arg1_shape,
+                                             axis_vector,
+                                             arg1_shape_tmp,
+                                             sizeof(T));
         arg1_new_data.swap(tmp);
         arg1_data = arg1_new_data.data();
     }
@@ -218,5 +217,4 @@ void matmul(const T* arg0,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/matrix_nms.hpp b/src/core/reference/include/openvino/reference/matrix_nms.hpp
index 890c1b61d49..4a3b5b015e7 100644
--- a/src/core/reference/include/openvino/reference/matrix_nms.hpp
+++ b/src/core/reference/include/openvino/reference/matrix_nms.hpp
@@ -19,8 +19,7 @@
 #include "ngraph/op/util/op_types.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void matrix_nms(const float* boxes_data,
                 const Shape& boxes_data_shape,
@@ -34,5 +33,4 @@ void matrix_nms(const float* boxes_data,
                 int64_t* valid_outputs);
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/max.hpp b/src/core/reference/include/openvino/reference/max.hpp
index 76c249ca23d..0cbb810ecaf 100644
--- a/src/core/reference/include/openvino/reference/max.hpp
+++ b/src/core/reference/include/openvino/reference/max.hpp
@@ -8,11 +8,10 @@
 #include <limits>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void max(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_axes) {
@@ -20,7 +19,7 @@ void max(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_a
 
     constexpr bool dont_keep_dims_in_output = false;
     OPENVINO_SUPPRESS_DEPRECATED_START
-    const auto out_shape = reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
     std::fill(out, out + shape_size(out_shape), minval);
 
     const auto in_strides = row_major_strides(in_shape);
@@ -28,7 +27,7 @@ void max(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_a
 
     CoordinateTransformBasic input_transform(in_shape);
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -44,5 +43,4 @@ void max(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_a
     OPENVINO_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/max_pool.hpp b/src/core/reference/include/openvino/reference/max_pool.hpp
index a28d3227b54..eaf2dee8932 100644
--- a/src/core/reference/include/openvino/reference/max_pool.hpp
+++ b/src/core/reference/include/openvino/reference/max_pool.hpp
@@ -7,10 +7,9 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void max_pool(const T* arg,
@@ -411,5 +410,4 @@ void max_pool(const Values_t* data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/maximum.hpp b/src/core/reference/include/openvino/reference/maximum.hpp
index 0566391c691..e918d4281b3 100644
--- a/src/core/reference/include/openvino/reference/maximum.hpp
+++ b/src/core/reference/include/openvino/reference/maximum.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void maximum(const T* arg0, const T* arg1, T* out, size_t count) {
@@ -32,5 +31,4 @@ void maximum(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/mean.hpp b/src/core/reference/include/openvino/reference/mean.hpp
index 934d2b07782..85fe10eddcf 100644
--- a/src/core/reference/include/openvino/reference/mean.hpp
+++ b/src/core/reference/include/openvino/reference/mean.hpp
@@ -9,20 +9,19 @@
 #include <numeric>
 #include <vector>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
 #include "ngraph/type/bfloat16.hpp"
 #include "ngraph/type/float16.hpp"
 #include "openvino/reference/sum.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void mean(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_axes) {
     constexpr bool dont_keep_dims_in_output = false;
     OPENVINO_SUPPRESS_DEPRECATED_START
-    const auto out_shape = reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
     std::vector<T> cs(shape_size(out_shape), 0);
     std::fill(out, out + shape_size(out_shape), T(0));
 
@@ -33,7 +32,7 @@ void mean(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_
     std::map<size_t, int> index_to_count_map;
 
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -56,5 +55,4 @@ void mean(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/min.hpp b/src/core/reference/include/openvino/reference/min.hpp
index db25a08558c..6d6c3e05df3 100644
--- a/src/core/reference/include/openvino/reference/min.hpp
+++ b/src/core/reference/include/openvino/reference/min.hpp
@@ -8,15 +8,14 @@
 #include <limits>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
 #ifdef _WIN32
 #    undef min
 #endif
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void min(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_axes) {
@@ -25,7 +24,7 @@ void min(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_a
 
     constexpr bool dont_keep_dims_in_output = false;
     OPENVINO_SUPPRESS_DEPRECATED_START
-    const auto out_shape = reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
     std::fill(out, out + shape_size(out_shape), minval);
 
     const auto in_strides = row_major_strides(in_shape);
@@ -33,7 +32,7 @@ void min(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_a
 
     CoordinateTransformBasic input_transform(in_shape);
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -49,5 +48,4 @@ void min(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_a
     OPENVINO_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/minimum.hpp b/src/core/reference/include/openvino/reference/minimum.hpp
index 2d4e4abe87a..78b8788ef80 100644
--- a/src/core/reference/include/openvino/reference/minimum.hpp
+++ b/src/core/reference/include/openvino/reference/minimum.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void minimum(const T* arg0, const T* arg1, T* out, size_t count) {
@@ -32,5 +31,4 @@ void minimum(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/mish.hpp b/src/core/reference/include/openvino/reference/mish.hpp
index b6e1a6f9e8e..023bf719a2c 100644
--- a/src/core/reference/include/openvino/reference/mish.hpp
+++ b/src/core/reference/include/openvino/reference/mish.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void mish(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void mish(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/mod.hpp b/src/core/reference/include/openvino/reference/mod.hpp
index c58e4fda0e3..76af9cbe95a 100644
--- a/src/core/reference/include/openvino/reference/mod.hpp
+++ b/src/core/reference/include/openvino/reference/mod.hpp
@@ -7,10 +7,9 @@
 #include <cmath>
 #include <cstddef>
 
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void mod(const T* arg0,
@@ -24,5 +23,4 @@ void mod(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/multiclass_nms.hpp b/src/core/reference/include/openvino/reference/multiclass_nms.hpp
index ecdfc56cc6b..1a33c91eb55 100644
--- a/src/core/reference/include/openvino/reference/multiclass_nms.hpp
+++ b/src/core/reference/include/openvino/reference/multiclass_nms.hpp
@@ -19,8 +19,7 @@
 #include "ngraph/op/util/op_types.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 void multiclass_nms(const float* boxes_data,
@@ -37,5 +36,4 @@ void multiclass_nms(const float* boxes_data,
                     int64_t* valid_outputs);
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/multiply.hpp b/src/core/reference/include/openvino/reference/multiply.hpp
index b837bb05073..bfc1dd01e67 100644
--- a/src/core/reference/include/openvino/reference/multiply.hpp
+++ b/src/core/reference/include/openvino/reference/multiply.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void multiply(const T* arg0, const T* arg1, T* out, size_t count) {
@@ -32,5 +31,4 @@ void multiply(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/mvn.hpp b/src/core/reference/include/openvino/reference/mvn.hpp
index 7d87bc59134..cd171fe73f2 100644
--- a/src/core/reference/include/openvino/reference/mvn.hpp
+++ b/src/core/reference/include/openvino/reference/mvn.hpp
@@ -16,8 +16,7 @@
 #include "openvino/reference/subtract.hpp"
 #include "openvino/reference/sum.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 OPENVINO_SUPPRESS_DEPRECATED_START
 template <typename T>
@@ -27,7 +26,7 @@ void mvn(const T* arg,
          const bool normalize_variance,
          const AxisSet& reduction_axes,
          const double eps) {
-    auto reduced_shape = reduce(in_shape, reduction_axes, true);
+    auto reduced_shape = ngraph::reduce(in_shape, reduction_axes, true);
     std::vector<T> tmp_buffer(shape_size(in_shape));
     mean(arg, tmp_buffer.data(), in_shape, reduction_axes);
     subtract(arg, tmp_buffer.data(), out, in_shape, reduced_shape, op::AutoBroadcastType::NUMPY);
@@ -57,7 +56,7 @@ void mvn_6(const T* arg,
            bool normalize_variance,
            double eps,
            op::MVNEpsMode eps_mode) {
-    auto reduced_shape = reduce(in_shape, reduction_axes, true);
+    auto reduced_shape = ngraph::reduce(in_shape, reduction_axes, true);
     std::vector<T> tmp_buffer(shape_size(in_shape));
     mean(arg, tmp_buffer.data(), in_shape, reduction_axes);
     subtract(arg, tmp_buffer.data(), out, in_shape, reduced_shape, op::AutoBroadcastType::NUMPY);
@@ -107,5 +106,4 @@ AxisSet mvn_6_reduction_axes(const ov::Tensor& axes_input, size_t rank) {
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/negate.hpp b/src/core/reference/include/openvino/reference/negate.hpp
index 8029a335d90..d63755ba2ec 100644
--- a/src/core/reference/include/openvino/reference/negate.hpp
+++ b/src/core/reference/include/openvino/reference/negate.hpp
@@ -6,8 +6,7 @@
 
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void negate(const T* arg, T* out, size_t count) {
@@ -16,5 +15,4 @@ void negate(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/non_max_suppression.hpp b/src/core/reference/include/openvino/reference/non_max_suppression.hpp
index 9ed0eab2082..ca4d9ef49c2 100644
--- a/src/core/reference/include/openvino/reference/non_max_suppression.hpp
+++ b/src/core/reference/include/openvino/reference/non_max_suppression.hpp
@@ -19,8 +19,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void non_max_suppression5(const float* boxes_data,
                           const Shape& boxes_data_shape,
@@ -66,5 +65,4 @@ void nms_postprocessing(const HostTensorVector& outputs,
                         int64_t valid_outputs,
                         const ngraph::element::Type selected_scores_type);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/non_zero.hpp b/src/core/reference/include/openvino/reference/non_zero.hpp
index af0913af7db..3ac5ee3c8ba 100644
--- a/src/core/reference/include/openvino/reference/non_zero.hpp
+++ b/src/core/reference/include/openvino/reference/non_zero.hpp
@@ -8,8 +8,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 /// \brief Return number of non-zero entries in the input argument.
 ///
@@ -115,5 +114,4 @@ void non_zero(const T* arg, U* out, const Shape& arg_shape) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/normalize_l2.hpp b/src/core/reference/include/openvino/reference/normalize_l2.hpp
index 2a66d54fa6b..ce737f652af 100644
--- a/src/core/reference/include/openvino/reference/normalize_l2.hpp
+++ b/src/core/reference/include/openvino/reference/normalize_l2.hpp
@@ -6,11 +6,10 @@
 
 #include <ngraph/op/normalize_l2.hpp>
 
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 #include "openvino/reference/sum.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void normalize_l2(const T* data,
@@ -53,5 +52,4 @@ void normalize_l2(const T* data,
                         });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/not.hpp b/src/core/reference/include/openvino/reference/not.hpp
index edfc06e54ad..e0444a8eb73 100644
--- a/src/core/reference/include/openvino/reference/not.hpp
+++ b/src/core/reference/include/openvino/reference/not.hpp
@@ -6,8 +6,7 @@
 
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void logical_not(const T* arg, T* out, size_t count) {
@@ -16,5 +15,4 @@ void logical_not(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/not_equal.hpp b/src/core/reference/include/openvino/reference/not_equal.hpp
index ee5cbbd4699..f033bcdde70 100644
--- a/src/core/reference/include/openvino/reference/not_equal.hpp
+++ b/src/core/reference/include/openvino/reference/not_equal.hpp
@@ -12,11 +12,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 void not_equal(const T* arg0,
@@ -30,8 +29,7 @@ void not_equal(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
 
 #if defined(__GNUC__)
 #    pragma GCC diagnostic pop
diff --git a/src/core/reference/include/openvino/reference/one_hot.hpp b/src/core/reference/include/openvino/reference/one_hot.hpp
index e054d027d0f..8527c1281bc 100644
--- a/src/core/reference/include/openvino/reference/one_hot.hpp
+++ b/src/core/reference/include/openvino/reference/one_hot.hpp
@@ -6,8 +6,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename INPUT_TYPE>
 void one_hot(const INPUT_TYPE* indices,
@@ -43,5 +42,4 @@ void one_hot(const INPUT_TYPE* indices,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/or.hpp b/src/core/reference/include/openvino/reference/or.hpp
index c689f4e6df4..9d34d7b0978 100644
--- a/src/core/reference/include/openvino/reference/or.hpp
+++ b/src/core/reference/include/openvino/reference/or.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void logical_or(const T* arg0, const T* arg1, T* out, size_t count) {
@@ -32,5 +31,4 @@ void logical_or(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/pad.hpp b/src/core/reference/include/openvino/reference/pad.hpp
index 5cc2287d4aa..ce66f64b05a 100644
--- a/src/core/reference/include/openvino/reference/pad.hpp
+++ b/src/core/reference/include/openvino/reference/pad.hpp
@@ -8,8 +8,7 @@
 #include "ngraph/op/util/attr_types.hpp"  // for op::PadMode
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void pad(const char* data,
          const char* pad_value,
@@ -21,5 +20,4 @@ void pad(const char* data,
          const CoordinateDiff& padding_above,
          const op::PadMode pad_mode);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/power.hpp b/src/core/reference/include/openvino/reference/power.hpp
index 8986068c635..2aeb3042fcf 100644
--- a/src/core/reference/include/openvino/reference/power.hpp
+++ b/src/core/reference/include/openvino/reference/power.hpp
@@ -8,8 +8,8 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
 namespace ov {
 namespace reference {
diff --git a/src/core/reference/include/openvino/reference/prelu.hpp b/src/core/reference/include/openvino/reference/prelu.hpp
index ef52ba1705b..3de4744bf7e 100644
--- a/src/core/reference/include/openvino/reference/prelu.hpp
+++ b/src/core/reference/include/openvino/reference/prelu.hpp
@@ -9,10 +9,9 @@
 #include <ngraph/op/util/attr_types.hpp>
 #include <ngraph/shape.hpp>
 
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void prelu(const T* arg, const T* slope, T* out, const Shape& arg_shape, const Shape& slope_shape) {
@@ -34,5 +33,4 @@ void prelu(const T* arg, const T* slope, T* out, const Shape& arg_shape, const S
                         });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/prior_box.hpp b/src/core/reference/include/openvino/reference/prior_box.hpp
index 0c57998221f..e4ca13ae310 100644
--- a/src/core/reference/include/openvino/reference/prior_box.hpp
+++ b/src/core/reference/include/openvino/reference/prior_box.hpp
@@ -8,11 +8,10 @@
 
 #include "ngraph/axis_vector.hpp"
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/op/prior_box.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 static inline float clip_great(float x, float threshold) {
     return x < threshold ? x : threshold;
@@ -229,5 +228,4 @@ void prior_box(const T* data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/prior_box_clustered.hpp b/src/core/reference/include/openvino/reference/prior_box_clustered.hpp
index 656d503e460..d15d69a6757 100644
--- a/src/core/reference/include/openvino/reference/prior_box_clustered.hpp
+++ b/src/core/reference/include/openvino/reference/prior_box_clustered.hpp
@@ -8,18 +8,17 @@
 
 #include "ngraph/axis_vector.hpp"
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/op/prior_box_clustered.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void prior_box_clustered(const T* data,
                          const T* img,
                          float* dst_data,
                          const Shape& out_shape,
-                         const op::PriorBoxClusteredAttrs& attrs) {
+                         const ngraph::op::PriorBoxClusteredAttrs& attrs) {
     size_t num_priors_ = attrs.widths.size();
 
     auto variances = attrs.variances;
@@ -91,5 +90,4 @@ void prior_box_clustered(const T* data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/product.hpp b/src/core/reference/include/openvino/reference/product.hpp
index ff7d3a4a784..41ce4cf3b1d 100644
--- a/src/core/reference/include/openvino/reference/product.hpp
+++ b/src/core/reference/include/openvino/reference/product.hpp
@@ -7,17 +7,16 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void product(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_axes) {
     constexpr bool dont_keep_dims_in_output = false;
     OPENVINO_SUPPRESS_DEPRECATED_START
-    const auto out_shape = reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
     std::fill(out, out + shape_size(out_shape), T(1));
 
     const auto in_strides = row_major_strides(in_shape);
@@ -25,7 +24,7 @@ void product(const T* arg, T* out, const Shape& in_shape, const AxisSet& reducti
 
     CoordinateTransformBasic input_transform(in_shape);
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -37,5 +36,4 @@ void product(const T* arg, T* out, const Shape& in_shape, const AxisSet& reducti
     OPENVINO_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/proposal.hpp b/src/core/reference/include/openvino/reference/proposal.hpp
index 15eede2cc4d..febec805131 100644
--- a/src/core/reference/include/openvino/reference/proposal.hpp
+++ b/src/core/reference/include/openvino/reference/proposal.hpp
@@ -4,8 +4,7 @@
 
 #include "ngraph/op/proposal.hpp"
 #include "ngraph/shape.hpp"
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace details {
 template <typename T>
@@ -17,7 +16,7 @@ struct ProposalBox {
     T score;
 };
 
-inline std::vector<float> generate_anchors(const op::ProposalAttrs& attrs, const unsigned int anchor_count) {
+inline std::vector<float> generate_anchors(const op::v0::Proposal::Attributes& attrs, const unsigned int anchor_count) {
     std::vector<float> anchors(4 * anchor_count);
 
     // Framework specific parameters
@@ -156,7 +155,7 @@ static void enumerate_proposals(const T* bottom4d,
                 x1 = static_cast<float>(pred_ctr_x + 0.5f * pred_w);
                 y1 = static_cast<float>(pred_ctr_y + 0.5f * pred_h);
 
-                // adjust new corner locations to be within the image region,
+                // adjust new corner locations to be within the image region
                 if (clip_before_nms) {
                     x0 = std::max<float>(0.0f, std::min<float>(x0, img_W - coordinates_offset));
                     y0 = std::max<float>(0.0f, std::min<float>(y0, img_H - coordinates_offset));
@@ -319,7 +318,7 @@ static void proposal_exec(const T* class_probs,
                           const Shape& image_shape_shape,
                           const Shape& output_shape,
                           const Shape& out_probs_shape,
-                          const op::ProposalAttrs& attrs) {
+                          const op::v0::Proposal::Attributes& attrs) {
     const T* p_bottom_item = class_probs;
     const T* p_d_anchor_item = bbox_deltas;
     T* p_roi_item = output;
@@ -420,7 +419,7 @@ void proposal_v0(const T* class_probs,
                  const Shape& bbox_deltas_shape,
                  const Shape& image_shape_shape,
                  const Shape& output_shape,
-                 const op::ProposalAttrs& attrs) {
+                 const op::v0::Proposal::Attributes& attrs) {
     details::proposal_exec(class_probs,
                            bbox_deltas,
                            image_shape,
@@ -445,7 +444,7 @@ void proposal_v4(const T* class_probs,
                  const Shape& image_shape_shape,
                  const Shape& output_shape,
                  const Shape& out_probs_shape,
-                 const op::ProposalAttrs& attrs) {
+                 const op::v0::Proposal::Attributes& attrs) {
     details::proposal_exec(class_probs,
                            bbox_deltas,
                            image_shape,
@@ -459,5 +458,4 @@ void proposal_v4(const T* class_probs,
                            attrs);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/psroi_pooling.hpp b/src/core/reference/include/openvino/reference/psroi_pooling.hpp
index e7598305a70..482f48ea28f 100644
--- a/src/core/reference/include/openvino/reference/psroi_pooling.hpp
+++ b/src/core/reference/include/openvino/reference/psroi_pooling.hpp
@@ -9,8 +9,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 enum PSROIPoolingMode { AVG, BILINEAR };
 template <typename T>
@@ -138,5 +137,4 @@ void psroi_pooling(const T* input,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/quantize.hpp b/src/core/reference/include/openvino/reference/quantize.hpp
index aef89f97c24..e5333aadca5 100644
--- a/src/core/reference/include/openvino/reference/quantize.hpp
+++ b/src/core/reference/include/openvino/reference/quantize.hpp
@@ -4,12 +4,11 @@
 
 #pragma once
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/op/quantize.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename REAL, typename QUANT>
 void quantize(const REAL* input,
@@ -74,5 +73,4 @@ void quantize(const REAL* input,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/random_uniform.hpp b/src/core/reference/include/openvino/reference/random_uniform.hpp
index 33530e53a54..6f942b97dc6 100644
--- a/src/core/reference/include/openvino/reference/random_uniform.hpp
+++ b/src/core/reference/include/openvino/reference/random_uniform.hpp
@@ -9,8 +9,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 // Helper struct for converting between types
@@ -47,5 +46,4 @@ const size_t rounds_number = 10;
 const uint64_t skip_const = 256;
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/range.hpp b/src/core/reference/include/openvino/reference/range.hpp
index 9dbc5e9739f..99a6cb39d87 100644
--- a/src/core/reference/include/openvino/reference/range.hpp
+++ b/src/core/reference/include/openvino/reference/range.hpp
@@ -9,12 +9,11 @@
 
 #include "ngraph/axis_vector.hpp"
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/type/bfloat16.hpp"
 #include "ngraph/type/float16.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 // Return type is `void`, only enabled if `T` is a built-in FP
 // type, or nGraph's `bfloat16` or `float16` type.
@@ -41,5 +40,4 @@ typename std::enable_if<std::is_integral<T>::value>::type range(const T* start,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/rdft.hpp b/src/core/reference/include/openvino/reference/rdft.hpp
index e163cd48fd3..ecfdae9585f 100644
--- a/src/core/reference/include/openvino/reference/rdft.hpp
+++ b/src/core/reference/include/openvino/reference/rdft.hpp
@@ -25,8 +25,7 @@
 #include "ngraph/ops.hpp"
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void rdft(const std::vector<float>& input_data,
           const Shape& input_data_shape,
@@ -34,5 +33,4 @@ void rdft(const std::vector<float>& input_data,
           const Shape& output_fft_shape,
           float* rdft_result);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/reduce_l1.hpp b/src/core/reference/include/openvino/reference/reduce_l1.hpp
index 37477aa7e72..f34342e9a14 100644
--- a/src/core/reference/include/openvino/reference/reduce_l1.hpp
+++ b/src/core/reference/include/openvino/reference/reduce_l1.hpp
@@ -7,17 +7,16 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void reduce_l1(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_axes) {
     constexpr bool dont_keep_dims_in_output = false;
     OPENVINO_SUPPRESS_DEPRECATED_START
-    const auto out_shape = reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
     std::fill(out, out + shape_size(out_shape), T(0));
 
     const auto in_strides = row_major_strides(in_shape);
@@ -25,7 +24,7 @@ void reduce_l1(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduc
 
     CoordinateTransformBasic input_transform(in_shape);
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -37,5 +36,4 @@ void reduce_l1(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduc
     OPENVINO_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/reduce_l2.hpp b/src/core/reference/include/openvino/reference/reduce_l2.hpp
index c338f340be8..37e2d24353c 100644
--- a/src/core/reference/include/openvino/reference/reduce_l2.hpp
+++ b/src/core/reference/include/openvino/reference/reduce_l2.hpp
@@ -7,17 +7,16 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void reduce_l2(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_axes) {
     constexpr bool dont_keep_dims_in_output = false;
     OPENVINO_SUPPRESS_DEPRECATED_START
-    const auto out_shape = reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
     std::fill(out, out + shape_size(out_shape), T(0));
 
     const auto in_strides = row_major_strides(in_shape);
@@ -25,7 +24,7 @@ void reduce_l2(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduc
 
     CoordinateTransformBasic input_transform(in_shape);
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -40,5 +39,4 @@ void reduce_l2(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduc
     OPENVINO_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/region_yolo.hpp b/src/core/reference/include/openvino/reference/region_yolo.hpp
index 3f7e8982927..f510c683db0 100644
--- a/src/core/reference/include/openvino/reference/region_yolo.hpp
+++ b/src/core/reference/include/openvino/reference/region_yolo.hpp
@@ -9,8 +9,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 static inline int
 entry_index(int width, int height, int coords, int classes, int outputs, int batch, int location, int entry) {
@@ -115,5 +114,4 @@ void region_yolo(const T* input,
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/relu.hpp b/src/core/reference/include/openvino/reference/relu.hpp
index 6ee2d3a3df7..0aad9b2e25f 100644
--- a/src/core/reference/include/openvino/reference/relu.hpp
+++ b/src/core/reference/include/openvino/reference/relu.hpp
@@ -6,8 +6,7 @@
 
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void relu(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void relu(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/reorg_yolo.hpp b/src/core/reference/include/openvino/reference/reorg_yolo.hpp
index cb05d0a1e87..2678a4e82e3 100644
--- a/src/core/reference/include/openvino/reference/reorg_yolo.hpp
+++ b/src/core/reference/include/openvino/reference/reorg_yolo.hpp
@@ -9,10 +9,8 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void reorg_yolo(const char* arg, char* out, const Shape& in_shape, int64_t stride, const size_t elem_size);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/reshape.hpp b/src/core/reference/include/openvino/reference/reshape.hpp
index ed8b702c0d3..3d769475352 100644
--- a/src/core/reference/include/openvino/reference/reshape.hpp
+++ b/src/core/reference/include/openvino/reference/reshape.hpp
@@ -7,8 +7,7 @@
 #include "ngraph/axis_vector.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void reshape(const char* arg,
              char* out,
@@ -17,5 +16,4 @@ void reshape(const char* arg,
              const Shape& out_shape,
              size_t elem_size);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/result.hpp b/src/core/reference/include/openvino/reference/result.hpp
index ea86c830182..ca71bab4dcb 100644
--- a/src/core/reference/include/openvino/reference/result.hpp
+++ b/src/core/reference/include/openvino/reference/result.hpp
@@ -11,13 +11,11 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void result(const T* arg, T* out, size_t count) {
     memcpy(out, arg, sizeof(T) * count);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/reverse.hpp b/src/core/reference/include/openvino/reference/reverse.hpp
index 45468f62636..b4ea16c5013 100644
--- a/src/core/reference/include/openvino/reference/reverse.hpp
+++ b/src/core/reference/include/openvino/reference/reverse.hpp
@@ -6,10 +6,9 @@
 
 #include <cmath>
 
-#include "ngraph/coordinate_transform.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void reverse(const char* arg,
              char* out,
@@ -18,5 +17,4 @@ void reverse(const char* arg,
              const AxisSet& reversed_axes,
              size_t elem_size);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/reverse_sequence.hpp b/src/core/reference/include/openvino/reference/reverse_sequence.hpp
index 5d8424c9728..6a01bc9303e 100644
--- a/src/core/reference/include/openvino/reference/reverse_sequence.hpp
+++ b/src/core/reference/include/openvino/reference/reverse_sequence.hpp
@@ -7,11 +7,10 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename U>
 void reverse_sequence(const T* arg,
@@ -46,5 +45,4 @@ void reverse_sequence(const T* arg,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/rnn_cell.hpp b/src/core/reference/include/openvino/reference/rnn_cell.hpp
index e8110f13816..cc5309ce3f0 100644
--- a/src/core/reference/include/openvino/reference/rnn_cell.hpp
+++ b/src/core/reference/include/openvino/reference/rnn_cell.hpp
@@ -13,8 +13,7 @@
 #include "openvino/reference/sigmoid.hpp"
 #include "openvino/reference/tanh.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void rnn_cell(const T* X,
@@ -93,5 +92,4 @@ void rnn_cell(const T* X,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/roi_align.hpp b/src/core/reference/include/openvino/reference/roi_align.hpp
index 4cb4b38e235..f7f9d1bc791 100644
--- a/src/core/reference/include/openvino/reference/roi_align.hpp
+++ b/src/core/reference/include/openvino/reference/roi_align.hpp
@@ -6,11 +6,10 @@
 
 #include <algorithm>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/op/roi_align.hpp"  // for ROIAlign:PoolingMode
 #include "ngraph/shape.hpp"
-namespace ngraph {
-namespace runtime {
+#include "openvino/reference/utils/coordinate_transform.hpp"
+namespace ov {
 namespace reference {
 using ROIPoolingMode = op::v3::ROIAlign::PoolingMode;
 using AlignedMode = op::v9::ROIAlign::AlignedMode;
@@ -224,5 +223,4 @@ void roi_align(const T* feature_maps,
     return;
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/roi_pooling.hpp b/src/core/reference/include/openvino/reference/roi_pooling.hpp
index a1a703a3458..7efa4daf384 100644
--- a/src/core/reference/include/openvino/reference/roi_pooling.hpp
+++ b/src/core/reference/include/openvino/reference/roi_pooling.hpp
@@ -6,8 +6,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void roi_pooling(const T* feature_maps,
@@ -183,7 +182,4 @@ void roi_pooling(const T* feature_maps,
     }
 }
 }  // namespace reference
-
-}  // namespace runtime
-
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/roll.hpp b/src/core/reference/include/openvino/reference/roll.hpp
index ae0c32a76b6..16b50bc32f6 100644
--- a/src/core/reference/include/openvino/reference/roll.hpp
+++ b/src/core/reference/include/openvino/reference/roll.hpp
@@ -16,11 +16,10 @@
 
 #pragma once
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 size_t shift_pos(size_t pos_in_spanned_data, size_t dim_shift, size_t spanned_shape_size, size_t dim_size) {
     size_t pos = pos_in_spanned_data / spanned_shape_size % dim_size;
@@ -74,5 +73,4 @@ void roll(const char* arg,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/scatter_elements_update.hpp b/src/core/reference/include/openvino/reference/scatter_elements_update.hpp
index 5b6a1fe4594..0262db0a1ce 100644
--- a/src/core/reference/include/openvino/reference/scatter_elements_update.hpp
+++ b/src/core/reference/include/openvino/reference/scatter_elements_update.hpp
@@ -9,12 +9,11 @@
 #include <iterator>
 
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape.hpp"
 #include "openvino/op/scatter_elements_update.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 using Reduction = ov::op::v12::ScatterElementsUpdate::Reduction;
 
@@ -249,5 +248,4 @@ void scatter_elem_update_with_reduction(const DataType* input_data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/scatter_nd_update.hpp b/src/core/reference/include/openvino/reference/scatter_nd_update.hpp
index e6da7d237f7..f4c5821dac0 100644
--- a/src/core/reference/include/openvino/reference/scatter_nd_update.hpp
+++ b/src/core/reference/include/openvino/reference/scatter_nd_update.hpp
@@ -11,8 +11,7 @@
 #include "ngraph/shape.hpp"
 #include "utils/span.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename dataType, typename indicesType>
 void scatterNdUpdate(const dataType* const inputData,
@@ -61,5 +60,4 @@ void scatterNdUpdate(const dataType* const inputData,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/scatter_update.hpp b/src/core/reference/include/openvino/reference/scatter_update.hpp
index 1e60c3968b4..90a1b50b1b7 100644
--- a/src/core/reference/include/openvino/reference/scatter_update.hpp
+++ b/src/core/reference/include/openvino/reference/scatter_update.hpp
@@ -7,12 +7,11 @@
 #include <numeric>
 
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape.hpp"
-#include "ngraph/util.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
+#include "openvino/util/common_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 static const CoordinateTransformBasic get_target_shape(const Shape& data_shape,
                                                        const Coordinate& start_corner,
@@ -26,7 +25,7 @@ static const CoordinateTransformBasic get_target_shape(const Shape& data_shape,
     OPENVINO_SUPPRESS_DEPRECATED_START
     for (size_t axis = 0; axis < m_n_axes; axis++) {
         target_shape.push_back(
-            ceil_div(end_corner[axis_order[axis]] - start_corner[axis_order[axis]], strides[axis_order[axis]]));
+            util::ceil_div(end_corner[axis_order[axis]] - start_corner[axis_order[axis]], strides[axis_order[axis]]));
     }
     OPENVINO_SUPPRESS_DEPRECATED_END
     return target_shape;
@@ -144,5 +143,4 @@ static void scatter_update(const char* input_data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/select.hpp b/src/core/reference/include/openvino/reference/select.hpp
index 07de2280946..743c8b089d0 100644
--- a/src/core/reference/include/openvino/reference/select.hpp
+++ b/src/core/reference/include/openvino/reference/select.hpp
@@ -7,10 +7,9 @@
 #include <cstddef>
 #include <iostream>
 
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void select(const char* arg0,
@@ -48,5 +47,4 @@ void select(const char* arg0,
                          });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/selu.hpp b/src/core/reference/include/openvino/reference/selu.hpp
index 4a4aabc3e1c..b498fba38d4 100644
--- a/src/core/reference/include/openvino/reference/selu.hpp
+++ b/src/core/reference/include/openvino/reference/selu.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void selu(const T* arg,
@@ -24,5 +23,4 @@ void selu(const T* arg,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/sequences.hpp b/src/core/reference/include/openvino/reference/sequences.hpp
index b1a2523ede8..c466ec5d559 100644
--- a/src/core/reference/include/openvino/reference/sequences.hpp
+++ b/src/core/reference/include/openvino/reference/sequences.hpp
@@ -13,8 +13,7 @@
 #include "openvino/reference/split.hpp"
 #include "reverse_sequence.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 enum class CellType {
     RNN,
@@ -117,94 +116,94 @@ void cell_pass(CellType type,
 
     for (size_t time_step = 0; time_step < num_splits; ++time_step) {
         if (type == CellType::LSTM) {
-            runtime::reference::lstm_cell<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
-                                             squeeze_axis(shapes[0], 1),
-                                             reinterpret_cast<const T*>(H_i),
-                                             squeeze_axis(shapes[2], 1),
-                                             reinterpret_cast<const T*>(C_i),
-                                             squeeze_axis(shapes[3], 1),
-                                             reinterpret_cast<const T*>(inputs[4]),
-                                             squeeze_axis(shapes[4], 0),
-                                             reinterpret_cast<const T*>(inputs[5]),
-                                             squeeze_axis(shapes[5], 0),
-                                             reinterpret_cast<const T*>(inputs[6]),
-                                             squeeze_axis(shapes[6], 0),
-                                             reinterpret_cast<T*>(outputs[1]),
-                                             reinterpret_cast<T*>(outputs[2]),
-                                             args.activation_f,
-                                             args.activation_g,
-                                             args.activation_h,
-                                             args.clip);
+            reference::lstm_cell<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
+                                    squeeze_axis(shapes[0], 1),
+                                    reinterpret_cast<const T*>(H_i),
+                                    squeeze_axis(shapes[2], 1),
+                                    reinterpret_cast<const T*>(C_i),
+                                    squeeze_axis(shapes[3], 1),
+                                    reinterpret_cast<const T*>(inputs[4]),
+                                    squeeze_axis(shapes[4], 0),
+                                    reinterpret_cast<const T*>(inputs[5]),
+                                    squeeze_axis(shapes[5], 0),
+                                    reinterpret_cast<const T*>(inputs[6]),
+                                    squeeze_axis(shapes[6], 0),
+                                    reinterpret_cast<T*>(outputs[1]),
+                                    reinterpret_cast<T*>(outputs[2]),
+                                    args.activation_f,
+                                    args.activation_g,
+                                    args.activation_h,
+                                    args.clip);
         } else if (type == CellType::LSTM_v1) {
-            runtime::reference::lstm_cell_v1<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
-                                                squeeze_axis(shapes[0], 1),
-                                                reinterpret_cast<const T*>(H_i),
-                                                squeeze_axis(shapes[2], 1),
-                                                reinterpret_cast<const T*>(C_i),
-                                                squeeze_axis(shapes[3], 1),
-                                                reinterpret_cast<const T*>(inputs[4]),
-                                                squeeze_axis(shapes[4], 0),
-                                                reinterpret_cast<const T*>(inputs[5]),
-                                                squeeze_axis(shapes[5], 0),
-                                                reinterpret_cast<const T*>(inputs[6]),
-                                                squeeze_axis(shapes[6], 0),
-                                                reinterpret_cast<const T*>(inputs[7]),
-                                                squeeze_axis(shapes[7], 0),
-                                                reinterpret_cast<T*>(outputs[1]),
-                                                reinterpret_cast<T*>(outputs[2]),
-                                                args.activation_f,
-                                                args.activation_g,
-                                                args.activation_h,
-                                                args.clip,
-                                                args.weight_format,
-                                                args.input_forget);
+            reference::lstm_cell_v1<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
+                                       squeeze_axis(shapes[0], 1),
+                                       reinterpret_cast<const T*>(H_i),
+                                       squeeze_axis(shapes[2], 1),
+                                       reinterpret_cast<const T*>(C_i),
+                                       squeeze_axis(shapes[3], 1),
+                                       reinterpret_cast<const T*>(inputs[4]),
+                                       squeeze_axis(shapes[4], 0),
+                                       reinterpret_cast<const T*>(inputs[5]),
+                                       squeeze_axis(shapes[5], 0),
+                                       reinterpret_cast<const T*>(inputs[6]),
+                                       squeeze_axis(shapes[6], 0),
+                                       reinterpret_cast<const T*>(inputs[7]),
+                                       squeeze_axis(shapes[7], 0),
+                                       reinterpret_cast<T*>(outputs[1]),
+                                       reinterpret_cast<T*>(outputs[2]),
+                                       args.activation_f,
+                                       args.activation_g,
+                                       args.activation_h,
+                                       args.clip,
+                                       args.weight_format,
+                                       args.input_forget);
         } else if (type == CellType::RNN) {
-            runtime::reference::rnn_cell<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
-                                            squeeze_axis(shapes[0], 1),
-                                            reinterpret_cast<const T*>(H_i),
-                                            squeeze_axis(shapes[2], 1),
-                                            reinterpret_cast<const T*>(inputs[3]),
-                                            squeeze_axis(shapes[3], 0),
-                                            reinterpret_cast<const T*>(inputs[4]),
-                                            squeeze_axis(shapes[4], 0),
-                                            reinterpret_cast<const T*>(inputs[5]),
-                                            squeeze_axis(shapes[5], 0),
-                                            reinterpret_cast<T*>(outputs[1]),
-                                            args.activation_f,
-                                            args.clip);
+            reference::rnn_cell<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
+                                   squeeze_axis(shapes[0], 1),
+                                   reinterpret_cast<const T*>(H_i),
+                                   squeeze_axis(shapes[2], 1),
+                                   reinterpret_cast<const T*>(inputs[3]),
+                                   squeeze_axis(shapes[3], 0),
+                                   reinterpret_cast<const T*>(inputs[4]),
+                                   squeeze_axis(shapes[4], 0),
+                                   reinterpret_cast<const T*>(inputs[5]),
+                                   squeeze_axis(shapes[5], 0),
+                                   reinterpret_cast<T*>(outputs[1]),
+                                   args.activation_f,
+                                   args.clip);
         } else if (type == CellType::GRU) {
-            runtime::reference::gru_cell<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
-                                            squeeze_axis(shapes[0], 1),
-                                            reinterpret_cast<const T*>(H_i),
-                                            squeeze_axis(shapes[2], 1),
-                                            reinterpret_cast<const T*>(inputs[3]),
-                                            squeeze_axis(shapes[3], 0),
-                                            reinterpret_cast<const T*>(inputs[4]),
-                                            squeeze_axis(shapes[4], 0),
-                                            reinterpret_cast<const T*>(inputs[5]),
-                                            squeeze_axis(shapes[5], 0),
-                                            reinterpret_cast<T*>(outputs[1]),
-                                            args.activation_f,
-                                            args.activation_g,
-                                            args.clip,
-                                            args.linear_before_reset);
+            reference::gru_cell<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
+                                   squeeze_axis(shapes[0], 1),
+                                   reinterpret_cast<const T*>(H_i),
+                                   squeeze_axis(shapes[2], 1),
+                                   reinterpret_cast<const T*>(inputs[3]),
+                                   squeeze_axis(shapes[3], 0),
+                                   reinterpret_cast<const T*>(inputs[4]),
+                                   squeeze_axis(shapes[4], 0),
+                                   reinterpret_cast<const T*>(inputs[5]),
+                                   squeeze_axis(shapes[5], 0),
+                                   reinterpret_cast<T*>(outputs[1]),
+                                   args.activation_f,
+                                   args.activation_g,
+                                   args.clip,
+                                   args.linear_before_reset);
         } else if (type == CellType::AUGRU) {
-            runtime::reference::gru_cell<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
-                                            squeeze_axis(shapes[0], 1),
-                                            reinterpret_cast<const T*>(H_i),
-                                            squeeze_axis(shapes[2], 1),
-                                            reinterpret_cast<const T*>(inputs[3]),
-                                            squeeze_axis(shapes[3], 0),
-                                            reinterpret_cast<const T*>(inputs[4]),
-                                            squeeze_axis(shapes[4], 0),
-                                            reinterpret_cast<const T*>(inputs[5]),
-                                            squeeze_axis(shapes[5], 0),
-                                            reinterpret_cast<T*>(outputs[1]),
-                                            args.activation_f,
-                                            args.activation_g,
-                                            args.clip,
-                                            args.linear_before_reset,
-                                            reinterpret_cast<const T*>(a_seqs.data() + time_step * batch * sizeof(T)));
+            reference::gru_cell<T>(reinterpret_cast<const T*>(in_seqs.data() + time_step * part_size),
+                                   squeeze_axis(shapes[0], 1),
+                                   reinterpret_cast<const T*>(H_i),
+                                   squeeze_axis(shapes[2], 1),
+                                   reinterpret_cast<const T*>(inputs[3]),
+                                   squeeze_axis(shapes[3], 0),
+                                   reinterpret_cast<const T*>(inputs[4]),
+                                   squeeze_axis(shapes[4], 0),
+                                   reinterpret_cast<const T*>(inputs[5]),
+                                   squeeze_axis(shapes[5], 0),
+                                   reinterpret_cast<T*>(outputs[1]),
+                                   args.activation_f,
+                                   args.activation_g,
+                                   args.clip,
+                                   args.linear_before_reset,
+                                   reinterpret_cast<const T*>(a_seqs.data() + time_step * batch * sizeof(T)));
         }
 
         if (enable_mask) {
@@ -254,7 +253,7 @@ void cell_pass(CellType type,
     for (size_t i = 0; i < num_splits; ++i)
         to_concat_pointers[i] = h_list[i].data();
 
-    runtime::reference::concat(to_concat_pointers, outputs[0], in_shapes, out_shape, 1, sizeof(T));
+    reference::concat(to_concat_pointers, outputs[0], in_shapes, out_shape, 1, sizeof(T));
 
     if (is_reverse)  // enable_mask
     {
@@ -365,24 +364,19 @@ void lstm_sequence(const char* X,
         Shape output_shape_y{H_shape[0], 2, X_shape[1], H_shape[2]};
         Shape output_shape_h_c{H_shape[0], 2, H_shape[2]};
 
-        runtime::reference::concat({forward_res_y.data(), reverse_res_y.data()},
-                                   Y,
-                                   in_shapes_y,
-                                   output_shape_y,
-                                   1,
-                                   sizeof(T));
-        runtime::reference::concat({forward_res[0].data(), reverse_res[0].data()},
-                                   Ho,
-                                   in_shapes_h_c,
-                                   output_shape_h_c,
-                                   1,
-                                   sizeof(T));
-        runtime::reference::concat({forward_res[1].data(), reverse_res[1].data()},
-                                   Co,
-                                   in_shapes_h_c,
-                                   output_shape_h_c,
-                                   1,
-                                   sizeof(T));
+        reference::concat({forward_res_y.data(), reverse_res_y.data()}, Y, in_shapes_y, output_shape_y, 1, sizeof(T));
+        reference::concat({forward_res[0].data(), reverse_res[0].data()},
+                          Ho,
+                          in_shapes_h_c,
+                          output_shape_h_c,
+                          1,
+                          sizeof(T));
+        reference::concat({forward_res[1].data(), reverse_res[1].data()},
+                          Co,
+                          in_shapes_h_c,
+                          output_shape_h_c,
+                          1,
+                          sizeof(T));
     }
 }
 
@@ -495,24 +489,19 @@ void lstm_sequence_v1(const char* X,
         Shape output_shape_y{H_shape[0], 2, X_shape[1], H_shape[2]};
         Shape output_shape_h_c{H_shape[0], 2, H_shape[2]};
 
-        runtime::reference::concat({forward_res_y.data(), reverse_res_y.data()},
-                                   Y,
-                                   in_shapes_y,
-                                   output_shape_y,
-                                   1,
-                                   sizeof(T));
-        runtime::reference::concat({forward_res[0].data(), reverse_res[0].data()},
-                                   Ho,
-                                   in_shapes_h_c,
-                                   output_shape_h_c,
-                                   1,
-                                   sizeof(T));
-        runtime::reference::concat({forward_res[1].data(), reverse_res[1].data()},
-                                   Co,
-                                   in_shapes_h_c,
-                                   output_shape_h_c,
-                                   1,
-                                   sizeof(T));
+        reference::concat({forward_res_y.data(), reverse_res_y.data()}, Y, in_shapes_y, output_shape_y, 1, sizeof(T));
+        reference::concat({forward_res[0].data(), reverse_res[0].data()},
+                          Ho,
+                          in_shapes_h_c,
+                          output_shape_h_c,
+                          1,
+                          sizeof(T));
+        reference::concat({forward_res[1].data(), reverse_res[1].data()},
+                          Co,
+                          in_shapes_h_c,
+                          output_shape_h_c,
+                          1,
+                          sizeof(T));
     }
 }
 
@@ -616,18 +605,8 @@ void gru_sequence(const char* X,
         Shape output_shape_y{H_shape[0], 2, X_shape[1], H_shape[2]};
         Shape output_shape_h{H_shape[0], 2, H_shape[2]};
 
-        runtime::reference::concat({forward_res_y.data(), reverse_res_y.data()},
-                                   Y,
-                                   in_shapes_y,
-                                   output_shape_y,
-                                   1,
-                                   sizeof(T));
-        runtime::reference::concat({forward_res_h.data(), reverse_res_h.data()},
-                                   Ho,
-                                   in_shapes_h,
-                                   output_shape_h,
-                                   1,
-                                   sizeof(T));
+        reference::concat({forward_res_y.data(), reverse_res_y.data()}, Y, in_shapes_y, output_shape_y, 1, sizeof(T));
+        reference::concat({forward_res_h.data(), reverse_res_h.data()}, Ho, in_shapes_h, output_shape_h, 1, sizeof(T));
     }
 }
 
@@ -714,20 +693,9 @@ void rnn_sequence(const char* X,
         Shape output_shape_y{H_shape[0], 2, X_shape[1], H_shape[2]};
         Shape output_shape_h{H_shape[0], 2, H_shape[2]};
 
-        runtime::reference::concat({forward_res_y.data(), reverse_res_y.data()},
-                                   Y,
-                                   in_shapes_y,
-                                   output_shape_y,
-                                   1,
-                                   sizeof(T));
-        runtime::reference::concat({forward_res_h.data(), reverse_res_h.data()},
-                                   Ho,
-                                   in_shapes_h,
-                                   output_shape_h,
-                                   1,
-                                   sizeof(T));
+        reference::concat({forward_res_y.data(), reverse_res_y.data()}, Y, in_shapes_y, output_shape_y, 1, sizeof(T));
+        reference::concat({forward_res_h.data(), reverse_res_h.data()}, Ho, in_shapes_h, output_shape_h, 1, sizeof(T));
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/shape_of.hpp b/src/core/reference/include/openvino/reference/shape_of.hpp
index b52afea118b..940c236ec1f 100644
--- a/src/core/reference/include/openvino/reference/shape_of.hpp
+++ b/src/core/reference/include/openvino/reference/shape_of.hpp
@@ -6,8 +6,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 inline void shape_of(const Shape& arg_shape, T* out) {
@@ -16,5 +15,4 @@ inline void shape_of(const Shape& arg_shape, T* out) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/shuffle_channels.hpp b/src/core/reference/include/openvino/reference/shuffle_channels.hpp
index 054cb082723..aff376b15b9 100644
--- a/src/core/reference/include/openvino/reference/shuffle_channels.hpp
+++ b/src/core/reference/include/openvino/reference/shuffle_channels.hpp
@@ -10,8 +10,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void shuffle_channels(const char* arg,
                       char* out,
@@ -20,5 +19,4 @@ void shuffle_channels(const char* arg,
                       const int64_t axis,
                       const int64_t group);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/sigmoid.hpp b/src/core/reference/include/openvino/reference/sigmoid.hpp
index 5e8766680a4..d30aedf21ae 100644
--- a/src/core/reference/include/openvino/reference/sigmoid.hpp
+++ b/src/core/reference/include/openvino/reference/sigmoid.hpp
@@ -8,8 +8,7 @@
 #include <cstddef>
 #include <type_traits>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T, typename std::enable_if<std::is_integral<T>::value, bool>::type = true>
 void sigmoid(const T* arg, T* out, size_t count) {
@@ -29,5 +28,4 @@ void sigmoid(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/sign.hpp b/src/core/reference/include/openvino/reference/sign.hpp
index a27474ffa46..5666eb5ebf4 100644
--- a/src/core/reference/include/openvino/reference/sign.hpp
+++ b/src/core/reference/include/openvino/reference/sign.hpp
@@ -6,8 +6,7 @@
 
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void sign(const T* arg, T* out, size_t count) {
@@ -16,5 +15,4 @@ void sign(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/slice.hpp b/src/core/reference/include/openvino/reference/slice.hpp
index 90e8ac5e388..a86b47f76fe 100644
--- a/src/core/reference/include/openvino/reference/slice.hpp
+++ b/src/core/reference/include/openvino/reference/slice.hpp
@@ -4,11 +4,10 @@
 
 #pragma once
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/type/element_type.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 // Slice-8 reference implementation
 void slice(const char* data,
@@ -30,5 +29,4 @@ void slice(const char* arg,
            const Shape& out_shape,
            size_t elem_size);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/softmax.hpp b/src/core/reference/include/openvino/reference/softmax.hpp
index 7ac0e64d5ae..d4cbf5bbaff 100644
--- a/src/core/reference/include/openvino/reference/softmax.hpp
+++ b/src/core/reference/include/openvino/reference/softmax.hpp
@@ -6,10 +6,10 @@
 
 #include <cmath>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
 #include "openvino/reference/max.hpp"
 #include "openvino/reference/sum.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
 namespace ov {
 namespace reference {
@@ -20,17 +20,17 @@ void softmax(const T* arg, T* out, const Shape& shape, const AxisSet& axes) {
     auto temp_elements = shape_size(temp_shape);
     auto temp_ptr = new T[temp_elements];
 
-    ngraph::runtime::reference::max(arg, temp_ptr, shape, axes);
+    max(arg, temp_ptr, shape, axes);
 
-    ngraph::CoordinateTransform transform(shape);
-    ngraph::CoordinateTransform temp_transform(temp_shape);
+    CoordinateTransform transform(shape);
+    CoordinateTransform temp_transform(temp_shape);
     for (const Coordinate& coord : transform) {
         Coordinate temp_coord = ngraph::reduce(coord, axes, true);
         out[transform.index(coord)] =
             std::exp(arg[transform.index(coord)] - temp_ptr[temp_transform.index(temp_coord)]);
     }
 
-    ngraph::runtime::reference::sum(out, temp_ptr, shape, axes);
+    sum(out, temp_ptr, shape, axes);
 
     for (const Coordinate& coord : transform) {
         Coordinate temp_coord = ngraph::reduce(coord, axes, true);
diff --git a/src/core/reference/include/openvino/reference/softplus.hpp b/src/core/reference/include/openvino/reference/softplus.hpp
index 7f703a579e9..77d817f8507 100644
--- a/src/core/reference/include/openvino/reference/softplus.hpp
+++ b/src/core/reference/include/openvino/reference/softplus.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void softplus(const T* arg, T* out, size_t count) {
@@ -19,5 +18,4 @@ void softplus(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/softsign.hpp b/src/core/reference/include/openvino/reference/softsign.hpp
index a5d953be595..59cd44f7d47 100644
--- a/src/core/reference/include/openvino/reference/softsign.hpp
+++ b/src/core/reference/include/openvino/reference/softsign.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void softsign(const T* arg, T* out, size_t count) {
@@ -17,5 +16,4 @@ void softsign(const T* arg, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/space_to_depth.hpp b/src/core/reference/include/openvino/reference/space_to_depth.hpp
index 6a27ad08dc3..3eeb2653463 100644
--- a/src/core/reference/include/openvino/reference/space_to_depth.hpp
+++ b/src/core/reference/include/openvino/reference/space_to_depth.hpp
@@ -7,16 +7,14 @@
 #include "ngraph/op/space_to_depth.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void space_to_depth(const char* const in,
                     const Shape& in_shape,
                     char* const out,
                     const Shape& out_shape,
                     const size_t block_size,
-                    const op::SpaceToDepth::SpaceToDepthMode mode,
+                    const op::v0::SpaceToDepth::SpaceToDepthMode mode,
                     const size_t elem_size);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/split.hpp b/src/core/reference/include/openvino/reference/split.hpp
index 033905ec23d..dcbede1883a 100644
--- a/src/core/reference/include/openvino/reference/split.hpp
+++ b/src/core/reference/include/openvino/reference/split.hpp
@@ -8,8 +8,7 @@
 
 #include "openvino/reference/slice.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void split(const char* data,
            const Shape& data_shape,
@@ -18,5 +17,4 @@ void split(const char* data,
            size_t num_splits,
            char** out_data);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/sqrt.hpp b/src/core/reference/include/openvino/reference/sqrt.hpp
index 77b088fb94f..e0d4d4f1ba0 100644
--- a/src/core/reference/include/openvino/reference/sqrt.hpp
+++ b/src/core/reference/include/openvino/reference/sqrt.hpp
@@ -8,8 +8,7 @@
 #include <cstddef>
 #include <type_traits>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 typename std::enable_if<!std::is_integral<T>::value>::type sqrt(const T* arg, T* out, size_t count) {
@@ -24,5 +23,4 @@ typename std::enable_if<std::is_integral<T>::value>::type sqrt(const T* arg, T*
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/squared_difference.hpp b/src/core/reference/include/openvino/reference/squared_difference.hpp
index e681f34223b..b28586d3623 100644
--- a/src/core/reference/include/openvino/reference/squared_difference.hpp
+++ b/src/core/reference/include/openvino/reference/squared_difference.hpp
@@ -7,11 +7,10 @@
 #include <cmath>
 #include <cstddef>
 
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape_util.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void squared_difference(const T* arg0,
@@ -25,5 +24,4 @@ void squared_difference(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/strided_slice.hpp b/src/core/reference/include/openvino/reference/strided_slice.hpp
index 82b065b8e0b..9c47c8c1e8f 100644
--- a/src/core/reference/include/openvino/reference/strided_slice.hpp
+++ b/src/core/reference/include/openvino/reference/strided_slice.hpp
@@ -7,19 +7,17 @@
 #include <cmath>
 
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/runtime/host_tensor.hpp"
 #include "ngraph/runtime/opt_kernel/reshape.hpp"
 #include "ngraph/slice_plan.hpp"
 #include "openvino/reference/reverse.hpp"
 #include "openvino/reference/slice.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 NGRAPH_SUPPRESS_DEPRECATED_START
-void strided_slice(const char* arg, char* out, const Shape& arg_shape, const SlicePlan& sp, size_t elem_type);
+void strided_slice(const char* arg, char* out, const Shape& arg_shape, const ngraph::SlicePlan& sp, size_t elem_type);
 NGRAPH_SUPPRESS_DEPRECATED_END
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/subtract.hpp b/src/core/reference/include/openvino/reference/subtract.hpp
index 1e00fa81880..1e5454bb64a 100644
--- a/src/core/reference/include/openvino/reference/subtract.hpp
+++ b/src/core/reference/include/openvino/reference/subtract.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void subtract(const T* arg0, const T* arg1, T* out, size_t count) {
@@ -32,5 +31,4 @@ void subtract(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/sum.hpp b/src/core/reference/include/openvino/reference/sum.hpp
index b7c3798eb50..3f811b3d566 100644
--- a/src/core/reference/include/openvino/reference/sum.hpp
+++ b/src/core/reference/include/openvino/reference/sum.hpp
@@ -7,13 +7,12 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape_util.hpp"
 #include "ngraph/type/bfloat16.hpp"
 #include "ngraph/type/float16.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace details {
 // Windows doesn't seem to like it if we directly use std::isfinite on integer
@@ -60,7 +59,7 @@ template <typename T>
 void sum(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_axes) {
     constexpr bool dont_keep_dims_in_output = false;
     NGRAPH_SUPPRESS_DEPRECATED_START
-    const auto out_shape = reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
+    const auto out_shape = ngraph::reduce(in_shape, reduction_axes, dont_keep_dims_in_output);
 
     std::vector<T> cs(shape_size(out_shape), 0);
     std::fill(out, out + shape_size(out_shape), T(0));
@@ -70,7 +69,7 @@ void sum(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_a
 
     CoordinateTransformBasic input_transform(in_shape);
     for (const Coordinate& input_coord : input_transform) {
-        const Coordinate output_coord = reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
+        const Coordinate output_coord = ngraph::reduce(input_coord, reduction_axes, dont_keep_dims_in_output);
 
         const size_t in_idx =
             std::inner_product(input_coord.begin(), input_coord.end(), in_strides.begin(), uint64_t(0));
@@ -82,5 +81,4 @@ void sum(const T* arg, T* out, const Shape& in_shape, const AxisSet& reduction_a
     NGRAPH_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/swish.hpp b/src/core/reference/include/openvino/reference/swish.hpp
index 5a5761bfb65..99d1b9fe273 100644
--- a/src/core/reference/include/openvino/reference/swish.hpp
+++ b/src/core/reference/include/openvino/reference/swish.hpp
@@ -7,8 +7,7 @@
 #include <cmath>
 #include <cstddef>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void swish(const T* arg, const T* beta, T* out, size_t count) {
@@ -21,5 +20,4 @@ void swish(const T* arg, const T* beta, T* out, size_t count) {
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/tensor_iterator.hpp b/src/core/reference/include/openvino/reference/tensor_iterator.hpp
index 8456dfa416f..f4ff4d8919e 100644
--- a/src/core/reference/include/openvino/reference/tensor_iterator.hpp
+++ b/src/core/reference/include/openvino/reference/tensor_iterator.hpp
@@ -7,18 +7,16 @@
 #include <cmath>
 #include <ngraph/opsets/opset5.hpp>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 using custom_evaluate_function = std::function<
-    void(const std::shared_ptr<ngraph::Function>& function, const HostTensorVector& inputs, HostTensorVector& outputs)>;
+    void(const std::shared_ptr<Model>& function, const HostTensorVector& inputs, HostTensorVector& outputs)>;
 void tensor_iterator(uint64_t num_iterations,
-                     const std::shared_ptr<Function>& body,
+                     const std::shared_ptr<Model>& body,
                      const op::util::OutputDescriptionVector& out_descs,
                      const op::util::InputDescriptionVector& input_descs,
                      const HostTensorVector& out,
                      const HostTensorVector& args,
                      const custom_evaluate_function& evaluate = nullptr);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/tile.hpp b/src/core/reference/include/openvino/reference/tile.hpp
index 193a63902de..2ee3da6b0c0 100644
--- a/src/core/reference/include/openvino/reference/tile.hpp
+++ b/src/core/reference/include/openvino/reference/tile.hpp
@@ -6,11 +6,10 @@
 
 #include <cmath>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/type/element_type.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void tile(const char* arg,
           char* out,
@@ -19,5 +18,4 @@ void tile(const char* arg,
           const size_t elem_size,
           const std::vector<int64_t>& repeats);
 }
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/topk.hpp b/src/core/reference/include/openvino/reference/topk.hpp
index ed48dab1256..0b7b4d48a53 100644
--- a/src/core/reference/include/openvino/reference/topk.hpp
+++ b/src/core/reference/include/openvino/reference/topk.hpp
@@ -8,11 +8,10 @@
 #include <cmath>
 #include <numeric>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/op/topk.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 // This used to be lambda expressions but MSVC had difficulty compiling it. This way is more explicit.
 template <bool D, typename T, typename U>
@@ -113,5 +112,4 @@ void topk(const T* arg,
     NGRAPH_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/transpose.hpp b/src/core/reference/include/openvino/reference/transpose.hpp
index 73dadada649..03af9040382 100644
--- a/src/core/reference/include/openvino/reference/transpose.hpp
+++ b/src/core/reference/include/openvino/reference/transpose.hpp
@@ -11,8 +11,7 @@
 
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void transpose(const char* data,
                char* out,
@@ -21,5 +20,4 @@ void transpose(const char* data,
                const int64_t* axes_order,
                Shape out_shape);
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/unique.hpp b/src/core/reference/include/openvino/reference/unique.hpp
index 40b38353503..f037f1e7f00 100644
--- a/src/core/reference/include/openvino/reference/unique.hpp
+++ b/src/core/reference/include/openvino/reference/unique.hpp
@@ -5,12 +5,11 @@
 #pragma once
 
 #include "gather.hpp"
-#include "ngraph/coordinate_index.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/utils/coordinate_index.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 enum class DescriptorType { SINGLE_VALUE, SLICE };
@@ -137,8 +136,8 @@ UniqueElements<Index_t, Count_t> find_unique_elements(const Data_t* data,
             auto elem_coord_rhs = *it;
             elem_coord_rhs.insert(elem_coord_rhs.cbegin() + axisVal, rhs.idx);
 
-            const auto lhs_elem_idx = ngraph::coordinate_index(elem_coord_lhs, data_shape);
-            const auto rhs_elem_idx = ngraph::coordinate_index(elem_coord_rhs, data_shape);
+            const auto lhs_elem_idx = coordinate_index(elem_coord_lhs, data_shape);
+            const auto rhs_elem_idx = coordinate_index(elem_coord_rhs, data_shape);
 
             if (*(data + lhs_elem_idx) < *(data + rhs_elem_idx)) {
                 return true;
@@ -175,7 +174,7 @@ UniqueElements<Index_t, Count_t> find_unique_elements(const Data_t* data,
             // needs to be injected manually.
             auto elem_coord = *it;
             elem_coord.insert(elem_coord.cbegin() + axisVal, slice_with_lower_idx.idx);
-            const auto lhs_elem_idx = ngraph::coordinate_index(elem_coord, data_shape);
+            const auto lhs_elem_idx = coordinate_index(elem_coord, data_shape);
             const auto rhs_elem_idx = lhs_elem_idx + slices_offset;
             if (*(data + lhs_elem_idx) != *(data + rhs_elem_idx)) {
                 return false;
@@ -333,13 +332,13 @@ void unique(Data_t* out_unique_elements,
             indices.push_back(descriptor.idx);
         }
 
-        ngraph::runtime::reference::gather(data,
-                                           indices.data(),
-                                           out_unique_elements,
-                                           data_shape,
-                                           Shape{descriptors.unique_tensor_elements.size()},
-                                           out_shape,
-                                           descriptors.axis);
+        gather(data,
+               indices.data(),
+               out_unique_elements,
+               data_shape,
+               Shape{descriptors.unique_tensor_elements.size()},
+               out_shape,
+               descriptors.axis);
     }
 
     // filling out this output tensor requires a separate pass over all elements of the input tensor
@@ -351,5 +350,4 @@ void unique(Data_t* out_unique_elements,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/ngraph/coordinate_index.hpp b/src/core/reference/include/openvino/reference/utils/coordinate_index.hpp
similarity index 58%
rename from src/core/reference/include/ngraph/coordinate_index.hpp
rename to src/core/reference/include/openvino/reference/utils/coordinate_index.hpp
index d03a86dd938..7408e548cdb 100644
--- a/src/core/reference/include/ngraph/coordinate_index.hpp
+++ b/src/core/reference/include/openvino/reference/utils/coordinate_index.hpp
@@ -4,12 +4,11 @@
 
 #pragma once
 
-#include <cstddef>
-#include <ngraph/coordinate.hpp>
-#include <ngraph/shape.hpp>
+#include "openvino/core/coordinate.hpp"
+#include "openvino/core/shape.hpp"
 
-namespace ngraph {
+namespace ov {
 
 std::size_t coordinate_index(const Coordinate& c, const Shape& s);
 
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/ngraph/coordinate_range.hpp b/src/core/reference/include/openvino/reference/utils/coordinate_range.hpp
similarity index 97%
rename from src/core/reference/include/ngraph/coordinate_range.hpp
rename to src/core/reference/include/openvino/reference/utils/coordinate_range.hpp
index bbc0cc898b8..611a911ae27 100644
--- a/src/core/reference/include/ngraph/coordinate_range.hpp
+++ b/src/core/reference/include/openvino/reference/utils/coordinate_range.hpp
@@ -7,11 +7,11 @@
 #include <algorithm>
 #include <iterator>
 
-#include "ngraph/coordinate.hpp"
-#include "ngraph/shape.hpp"
-#include "ngraph/strides.hpp"
+#include "openvino/core/coordinate.hpp"
+#include "openvino/core/shape.hpp"
+#include "openvino/core/strides.hpp"
 
-namespace ngraph {
+namespace ov {
 namespace coordinates {
 namespace impl {
 namespace {
@@ -204,4 +204,4 @@ using impl::index;
 using impl::reverse;
 using impl::slice;
 }  // namespace coordinates
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/ngraph/coordinate_transform.hpp b/src/core/reference/include/openvino/reference/utils/coordinate_transform.hpp
similarity index 93%
rename from src/core/reference/include/ngraph/coordinate_transform.hpp
rename to src/core/reference/include/openvino/reference/utils/coordinate_transform.hpp
index 0c29862394c..d94f8022e65 100644
--- a/src/core/reference/include/ngraph/coordinate_transform.hpp
+++ b/src/core/reference/include/openvino/reference/utils/coordinate_transform.hpp
@@ -4,14 +4,14 @@
 
 #pragma once
 
-#include "ngraph/axis_vector.hpp"
-#include "ngraph/coordinate.hpp"
-#include "ngraph/coordinate_diff.hpp"
-#include "ngraph/deprecated.hpp"
-#include "ngraph/shape.hpp"
-#include "ngraph/strides.hpp"
+#include "openvino/core/axis_vector.hpp"
+#include "openvino/core/coordinate.hpp"
+#include "openvino/core/coordinate_diff.hpp"
+#include "openvino/core/deprecated.hpp"
+#include "openvino/core/shape.hpp"
+#include "openvino/core/strides.hpp"
 
-namespace ngraph {
+namespace ov {
 /// \brief A useful class that allows to iterate over the tensor coordinates.
 ///        For example, for tensor with dimensions {2, 3} this iterator
 ///        produces the following coordinates:
@@ -76,7 +76,7 @@ public:
     /// \brief The tensor element index calculation by given coordinate.
     /// \param c tensor element coordinate
     /// \deprecated
-    NGRAPH_DEPRECATED("This method is deprecated and will be removed soon.")
+    OPENVINO_DEPRECATED("This method is deprecated and will be removed soon.")
     size_t index(const Coordinate& c) const;
 
     /// \brief Returns an iterator to the first coordinate of the tensor.
@@ -93,7 +93,7 @@ protected:
 ///        and helps to iterate over the subset of coordinates.
 ///        Tensor items should be placed in memory in row-major order.
 /// \deprecated
-class NGRAPH_DEPRECATED("This class is deprecated and will be removed soon.") CoordinateTransform
+class OPENVINO_DEPRECATED("This class is deprecated and will be removed soon.") CoordinateTransform
     : protected CoordinateTransformBasic {
 public:
     using Iterator = CoordinateIterator;
@@ -170,4 +170,4 @@ private:
     Shape m_target_shape;
     size_t m_n_axes;
 };
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/utils/fft_common.hpp b/src/core/reference/include/openvino/reference/utils/fft_common.hpp
index 98934aa1426..d445efbba71 100644
--- a/src/core/reference/include/openvino/reference/utils/fft_common.hpp
+++ b/src/core/reference/include/openvino/reference/utils/fft_common.hpp
@@ -14,8 +14,7 @@
 #include "ngraph/shape.hpp"
 #include "ngraph/type/element_type.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace fft_common {
 // To simplify calculation of strides for all axes of 'shape' of some complex
@@ -43,5 +42,4 @@ int64_t offset_from_coords_and_strides(const std::vector<int64_t>& coords, const
 std::vector<int64_t> reverse_fft_axes(const std::vector<int64_t>& axes, int64_t complex_data_rank);
 }  // namespace fft_common
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/utils/nms_common.hpp b/src/core/reference/include/openvino/reference/utils/nms_common.hpp
index c12b6d2bb75..4138db64085 100644
--- a/src/core/reference/include/openvino/reference/utils/nms_common.hpp
+++ b/src/core/reference/include/openvino/reference/utils/nms_common.hpp
@@ -12,8 +12,7 @@
 
 #include "ngraph/type/element_type.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace nms_common {
 struct Rectangle {
@@ -69,5 +68,4 @@ void nms_common_postprocessing(void* prois,
 
 }  // namespace nms_common
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/utils/span.hpp b/src/core/reference/include/openvino/reference/utils/span.hpp
index b103a4d2761..50fc379e916 100644
--- a/src/core/reference/include/openvino/reference/utils/span.hpp
+++ b/src/core/reference/include/openvino/reference/utils/span.hpp
@@ -10,8 +10,7 @@
 #include <stdexcept>
 #include <type_traits>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace details {
 template <bool check>
@@ -165,5 +164,4 @@ constexpr auto span(Element* data, std::size_t size) -> Span<Element> {
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/include/openvino/reference/xor.hpp b/src/core/reference/include/openvino/reference/xor.hpp
index 62f59233af7..b3c8bae203e 100644
--- a/src/core/reference/include/openvino/reference/xor.hpp
+++ b/src/core/reference/include/openvino/reference/xor.hpp
@@ -7,11 +7,10 @@
 #include <cstddef>
 
 #include "ngraph/op/util/attr_types.hpp"
-#include "ngraph/runtime/reference/autobroadcast_binop.hpp"
 #include "ngraph/shape.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 template <typename T>
 void logical_xor(const T* arg0, const T* arg1, T* out, size_t count) {
@@ -32,5 +31,4 @@ void logical_xor(const T* arg0,
     });
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/broadcast.cpp b/src/core/reference/src/op/broadcast.cpp
index 78cb26ad5c7..bfd27e5be56 100644
--- a/src/core/reference/src/op/broadcast.cpp
+++ b/src/core/reference/src/op/broadcast.cpp
@@ -6,8 +6,7 @@
 
 #include "openvino/reference/tile.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void broadcast(const char* arg,
                char* out,
@@ -32,5 +31,4 @@ void broadcast(const char* arg,
     return tile(arg, out, adjusted_in_shape, adjusted_out_shape, elem_size, repeats);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/concat.cpp b/src/core/reference/src/op/concat.cpp
index 281608cd682..5617fe7ba02 100644
--- a/src/core/reference/src/op/concat.cpp
+++ b/src/core/reference/src/op/concat.cpp
@@ -6,8 +6,7 @@
 
 #include <cstring>
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 std::vector<size_t> calculate_shape_sizes(const std::vector<Shape>& in_shapes) {
@@ -46,5 +45,4 @@ void concat(const std::vector<const char*>& args,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/convert.cpp b/src/core/reference/src/op/convert.cpp
index efde306ed1d..2846802d6c4 100644
--- a/src/core/reference/src/op/convert.cpp
+++ b/src/core/reference/src/op/convert.cpp
@@ -6,10 +6,11 @@
 
 #if defined(OPENVINO_ARCH_X86) || defined(OPENVINO_ARCH_X86_64)
 #    include "jit_generator.hpp"
+
+using namespace ngraph::runtime;
 #endif
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 #if defined(OPENVINO_ARCH_X86) || defined(OPENVINO_ARCH_X86_64)
 namespace {
@@ -533,5 +534,4 @@ size_t count_out_of_f16_range(const float* arg, size_t count) {
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/depth_to_space.cpp b/src/core/reference/src/op/depth_to_space.cpp
index f4f688c46de..490b566f456 100644
--- a/src/core/reference/src/op/depth_to_space.cpp
+++ b/src/core/reference/src/op/depth_to_space.cpp
@@ -10,15 +10,14 @@
 #include "ngraph/check.hpp"
 #include "ngraph/runtime/opt_kernel/reshape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void depth_to_space(const char* const in,
                     const Shape& in_shape,
                     char* const out,
                     const Shape& out_shape,
                     const size_t block_size,
-                    const op::DepthToSpace::DepthToSpaceMode mode,
+                    const op::v0::DepthToSpace::DepthToSpaceMode mode,
                     const size_t elem_size) {
     // DepthToSpace run in tree steps:
     // - disperse data from depth channel
@@ -65,7 +64,7 @@ void depth_to_space(const char* const in,
     // y = reshape(x'',
     //             [N, C / (block_size ^ K), D1 * block_size, D2 * block_size,
     //             D3 * block_size, ..., DK * block_size])
-    case op::DepthToSpace::DepthToSpaceMode::DEPTH_FIRST: {
+    case op::v0::DepthToSpace::DepthToSpaceMode::DEPTH_FIRST: {
         dispersed_shape.insert(dispersed_shape.begin() + 1, c_flat);
         axes_order.push_back(1);
         for (size_t i = spatial_dim_index; i < in_shape.size(); ++i) {
@@ -81,7 +80,7 @@ void depth_to_space(const char* const in,
     //                 K + (K + 1), K])
     // y = reshape(x'', [N, C / (block_size ^ K), D1 * block_size, D2 * block_size,
     //             D3 * block_size, ..., DK * block_size])
-    case op::DepthToSpace::DepthToSpaceMode::BLOCKS_FIRST: {
+    case op::v0::DepthToSpace::DepthToSpaceMode::BLOCKS_FIRST: {
         dispersed_shape.insert(dispersed_shape.begin() + spatial_dims + 1, c_flat);
         axes_order.push_back(spatial_dims + 1);
         for (size_t i = 2; i < in_shape.size(); ++i) {
@@ -97,9 +96,8 @@ void depth_to_space(const char* const in,
         post_transpose_shape[axis_idx] = dispersed_shape[axes_order[axis_idx]];
     }
 
-    runtime::opt_kernel::reshape(in, out, dispersed_shape, axes_order, post_transpose_shape, elem_size);
+    ngraph::runtime::opt_kernel::reshape(in, out, dispersed_shape, axes_order, post_transpose_shape, elem_size);
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/einsum.cpp b/src/core/reference/src/op/einsum.cpp
index 7c9a58293f5..1901073f184 100644
--- a/src/core/reference/src/op/einsum.cpp
+++ b/src/core/reference/src/op/einsum.cpp
@@ -17,8 +17,7 @@
 #include "openvino/reference/utils/span.hpp"
 
 NGRAPH_SUPPRESS_DEPRECATED_START
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 /// \brief      Compute einsum_path for a given Einsum node meaning that the
@@ -291,15 +290,15 @@ HostTensorPtr unsqueeze_input(const HostTensorPtr& input, std::vector<int64_t>&
     }
 
     HostTensorPtr output = std::shared_ptr<HostTensor>(new HostTensor(input->get_element_type(), output_shape));
-    const AxisVector order = get_default_order(input->get_shape());
+    const AxisVector order = ngraph::get_default_order(input->get_shape());
     const auto element_type = input->get_element_type();
 
-    ngraph::runtime::reference::reshape(reinterpret_cast<const char*>(input->get_data_ptr<T>()),
-                                        reinterpret_cast<char*>(output->get_data_ptr<T>()),
-                                        input_shape,
-                                        order,
-                                        output_shape,
-                                        element_type.size());
+    reference::reshape(reinterpret_cast<const char*>(input->get_data_ptr<T>()),
+                       reinterpret_cast<char*>(output->get_data_ptr<T>()),
+                       input_shape,
+                       order,
+                       output_shape,
+                       element_type.size());
 
     return output;
 }
@@ -353,10 +352,7 @@ void reduce_input(HostTensorVector& inputs,
 
     HostTensorPtr output_ptr = std::shared_ptr<HostTensor>(new HostTensor(input_ptr->get_element_type(), output_shape));
 
-    ngraph::runtime::reference::sum<T>(input_ptr->get_data_ptr<T>(),
-                                       output_ptr->get_data_ptr<T>(),
-                                       input_shape,
-                                       reduced_axes);
+    reference::sum<T>(input_ptr->get_data_ptr<T>(), output_ptr->get_data_ptr<T>(), input_shape, reduced_axes);
 
     // update a vector of inputs and input subscripts
     inputs[input_ind] = output_ptr;
@@ -409,12 +405,12 @@ void transpose_input(HostTensorVector& inputs,
     });
     HostTensorPtr output_ptr = std::shared_ptr<HostTensor>(new HostTensor(element_type, output_shape));
 
-    ngraph::runtime::reference::transpose(reinterpret_cast<const char*>(input_ptr->get_data_ptr<T>()),
-                                          reinterpret_cast<char*>(output_ptr->get_data_ptr<T>()),
-                                          input_shape,
-                                          element_type.size(),
-                                          permutation.data(),
-                                          output_shape);
+    reference::transpose(reinterpret_cast<const char*>(input_ptr->get_data_ptr<T>()),
+                         reinterpret_cast<char*>(output_ptr->get_data_ptr<T>()),
+                         input_shape,
+                         element_type.size(),
+                         permutation.data(),
+                         output_shape);
 
     // update a vector of inputs and input subscripts
     inputs[input_ind] = output_ptr;
@@ -454,12 +450,12 @@ void broadcast_input(HostTensorVector& inputs,
     std::vector<size_t> broadcast_axes(old_shape.size());
     std::iota(broadcast_axes.begin(), broadcast_axes.end(), new_shape.size() - old_shape.size());
 
-    ngraph::runtime::reference::broadcast(reinterpret_cast<const char*>(input->get_data_ptr<T>()),
-                                          reinterpret_cast<char*>(output->get_data_ptr<T>()),
-                                          input->get_shape(),
-                                          output->get_shape(),
-                                          broadcast_axes,
-                                          input->get_element_type().size());
+    reference::broadcast(reinterpret_cast<const char*>(input->get_data_ptr<T>()),
+                         reinterpret_cast<char*>(output->get_data_ptr<T>()),
+                         input->get_shape(),
+                         output->get_shape(),
+                         broadcast_axes,
+                         input->get_element_type().size());
 
     input = output;
 }
@@ -534,12 +530,12 @@ HostTensorPtr build_multi_identity(const HostTensorPtr& input_ptr,
                                            ngraph::op::AutoBroadcastType::NUMPY);
         HostTensorPtr mul_output =
             std::shared_ptr<HostTensor>(new HostTensor(identity->get_element_type(), output_shape.get_shape()));
-        ngraph::runtime::reference::multiply<T>(multi_identity->get_data_ptr<T>(),
-                                                identity->get_data_ptr<T>(),
-                                                mul_output->get_data_ptr<T>(),
-                                                multi_identity->get_shape(),
-                                                identity->get_shape(),
-                                                ngraph::op::AutoBroadcastType::NUMPY);
+        reference::multiply<T>(multi_identity->get_data_ptr<T>(),
+                               identity->get_data_ptr<T>(),
+                               mul_output->get_data_ptr<T>(),
+                               multi_identity->get_shape(),
+                               identity->get_shape(),
+                               ngraph::op::AutoBroadcastType::NUMPY);
         multi_identity = mul_output;
     }
     return multi_identity;
@@ -594,18 +590,15 @@ void extract_diagonal(HostTensorVector& inputs, std::vector<std::string>& input_
     HostTensorPtr multi_identity = build_multi_identity<T>(input_ptr, repeated_labels, label_dim_map);
 
     HostTensorPtr mul_output = input_ptr;
-    ngraph::runtime::reference::multiply<T>(input_ptr->get_data_ptr<T>(),
-                                            multi_identity->get_data_ptr<T>(),
-                                            mul_output->get_data_ptr<T>(),
-                                            input_ptr->get_shape(),
-                                            multi_identity->get_shape(),
-                                            ngraph::op::AutoBroadcastType::NUMPY);
+    reference::multiply<T>(input_ptr->get_data_ptr<T>(),
+                           multi_identity->get_data_ptr<T>(),
+                           mul_output->get_data_ptr<T>(),
+                           input_ptr->get_shape(),
+                           multi_identity->get_shape(),
+                           ngraph::op::AutoBroadcastType::NUMPY);
 
     HostTensorPtr result = std::shared_ptr<HostTensor>(new HostTensor(input_ptr->get_element_type(), result_shape));
-    ngraph::runtime::reference::sum<T>(mul_output->get_data_ptr<T>(),
-                                       result->get_data_ptr<T>(),
-                                       mul_output->get_shape(),
-                                       reduced_axes);
+    reference::sum<T>(mul_output->get_data_ptr<T>(), result->get_data_ptr<T>(), mul_output->get_shape(), reduced_axes);
     inputs[input_ind] = result;
     input_subscripts[input_ind] = resultant_subscript;
 }
@@ -657,14 +650,14 @@ HostTensorPtr reshape_input_for_matmul(const HostTensorPtr& input,
     const auto element_type = input->get_element_type();
     const auto input_shape = input->get_shape();
     HostTensorPtr output = std::shared_ptr<HostTensor>(new HostTensor(element_type, new_shape));
-    const AxisVector order = get_default_order(input_shape);
+    const AxisVector order = ngraph::get_default_order(input_shape);
 
-    ngraph::runtime::reference::reshape(reinterpret_cast<const char*>(input->get_data_ptr<T>()),
-                                        reinterpret_cast<char*>(output->get_data_ptr<T>()),
-                                        input_shape,
-                                        order,
-                                        new_shape,
-                                        element_type.size());
+    reference::reshape(reinterpret_cast<const char*>(input->get_data_ptr<T>()),
+                       reinterpret_cast<char*>(output->get_data_ptr<T>()),
+                       input_shape,
+                       order,
+                       new_shape,
+                       element_type.size());
     return output;
 }
 
@@ -801,12 +794,12 @@ void contract_two_inputs(HostTensorVector& inputs,
                                            ngraph::op::AutoBroadcastType::NUMPY);
         HostTensorPtr mul_output = std::shared_ptr<HostTensor>(
             new HostTensor(unsqueeze_output1->get_element_type(), output_shape.get_shape()));
-        ngraph::runtime::reference::multiply<T>(unsqueeze_output1->get_data_ptr<T>(),
-                                                unsqueeze_output2->get_data_ptr<T>(),
-                                                mul_output->get_data_ptr<T>(),
-                                                unsqueeze_output1->get_shape(),
-                                                unsqueeze_output2->get_shape(),
-                                                ngraph::op::AutoBroadcastType::NUMPY);
+        reference::multiply<T>(unsqueeze_output1->get_data_ptr<T>(),
+                               unsqueeze_output2->get_data_ptr<T>(),
+                               mul_output->get_data_ptr<T>(),
+                               unsqueeze_output1->get_shape(),
+                               unsqueeze_output2->get_shape(),
+                               ngraph::op::AutoBroadcastType::NUMPY);
 
         // update input operand and input subscript for Einsum operation
         update_operands(inputs, input_subscripts, input_ind1, input_ind2, mul_output, resultant_subscript);
@@ -879,7 +872,7 @@ void contract_two_inputs(HostTensorVector& inputs,
 
     // broadcast both inputs to have common sub-shape broadcasted that is needed
     // in case of ellipsis among the common labels
-    // ngraph::runtime::reference::broadcast()
+    // reference::broadcast()
     PartialShape::broadcast_merge_into(common_sub_shape1, common_sub_shape2, ngraph::op::AutoBroadcastType::NUMPY);
     Shape common_sub_shape = common_sub_shape1.get_shape();
     broadcast_input<T>(inputs,
@@ -913,14 +906,14 @@ void contract_two_inputs(HostTensorVector& inputs,
 
     bool transpose_a = (is_separate_first1 ? false : true);
     bool transpose_b = (is_separate_first2 ? true : false);
-    ngraph::runtime::reference::matmul(matmul_operand1->get_data_ptr<T>(),
-                                       matmul_operand2->get_data_ptr<T>(),
-                                       matmul_output->get_data_ptr<T>(),
-                                       matmul_operand1->get_shape(),
-                                       matmul_operand2->get_shape(),
-                                       matmul_output_shape,
-                                       transpose_a,
-                                       transpose_b);
+    reference::matmul(matmul_operand1->get_data_ptr<T>(),
+                      matmul_operand2->get_data_ptr<T>(),
+                      matmul_output->get_data_ptr<T>(),
+                      matmul_operand1->get_shape(),
+                      matmul_operand2->get_shape(),
+                      matmul_output_shape,
+                      transpose_a,
+                      transpose_b);
 
     // step 4. reshape back by unrolling dimensions corresponding to separate labels
     // if needed now dimensions corresponding to reduced labels are reduced by the
@@ -937,13 +930,13 @@ void contract_two_inputs(HostTensorVector& inputs,
 
     HostTensorPtr contract_output =
         std::shared_ptr<HostTensor>(new HostTensor(matmul_output->get_element_type(), back_shape));
-    const AxisVector order = get_default_order(matmul_output->get_shape());
-    ngraph::runtime::reference::reshape(reinterpret_cast<const char*>(matmul_output->get_data_ptr<T>()),
-                                        reinterpret_cast<char*>(contract_output->get_data_ptr<T>()),
-                                        matmul_output->get_shape(),
-                                        order,
-                                        back_shape,
-                                        matmul_output->get_element_type().size());
+    const AxisVector order = ngraph::get_default_order(matmul_output->get_shape());
+    reference::reshape(reinterpret_cast<const char*>(matmul_output->get_data_ptr<T>()),
+                       reinterpret_cast<char*>(contract_output->get_data_ptr<T>()),
+                       matmul_output->get_shape(),
+                       order,
+                       back_shape,
+                       matmul_output->get_element_type().size());
 
     update_operands(inputs, input_subscripts, input_ind1, input_ind2, contract_output, resultant_subscript);
 }
@@ -1001,7 +994,4 @@ void einsum(const HostTensorVector& outputs, const HostTensorVector& inputs, con
 }
 
 }  // namespace reference
-
-}  // namespace runtime
-
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/experimental_detectron_detection_output.cpp b/src/core/reference/src/op/experimental_detectron_detection_output.cpp
index 8a7002e035f..da60c8a7ce8 100644
--- a/src/core/reference/src/op/experimental_detectron_detection_output.cpp
+++ b/src/core/reference/src/op/experimental_detectron_detection_output.cpp
@@ -207,8 +207,7 @@ bool SortScorePairDescend(const std::pair<float, T>& pair1, const std::pair<floa
 }
 }  // namespace
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void experimental_detectron_detection_output(const float* boxes,
                                              const float* input_deltas,
@@ -364,5 +363,4 @@ void experimental_detectron_detection_output_postprocessing(void* pboxes,
     memcpy(classes_ptr, output_classes.data(), shape_size(output_classes_shape) * sizeof(int32_t));
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/experimental_detectron_proposal_single_image.cpp b/src/core/reference/src/op/experimental_detectron_proposal_single_image.cpp
index 2458dc392db..319c4c75f8d 100644
--- a/src/core/reference/src/op/experimental_detectron_proposal_single_image.cpp
+++ b/src/core/reference/src/op/experimental_detectron_proposal_single_image.cpp
@@ -15,7 +15,7 @@
 #include "openvino/reference/proposal.hpp"
 
 namespace {
-using ProposalBox = ngraph::runtime::reference::details::ProposalBox<float>;
+using ProposalBox = ov::reference::details::ProposalBox<float>;
 
 void refine_anchors(const float* deltas,
                     const float* scores,
@@ -205,8 +205,7 @@ void fill_output_blobs(const float* proposals,
 }
 }  // namespace
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void experimental_detectron_proposals_single_image(
     const float* im_info,
@@ -339,5 +338,4 @@ void experimental_detectron_proposals_single_image_postprocessing(void* prois,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/experimental_detectron_roi_feature_extractor.cpp b/src/core/reference/src/op/experimental_detectron_roi_feature_extractor.cpp
index c9314d8920a..ad4c35f3482 100644
--- a/src/core/reference/src/op/experimental_detectron_roi_feature_extractor.cpp
+++ b/src/core/reference/src/op/experimental_detectron_roi_feature_extractor.cpp
@@ -281,8 +281,7 @@ void ROIAlignForward(const int64_t nthreads,
 }
 }  // namespace
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void experimental_detectron_roi_feature_extractor(
     const std::vector<std::vector<float>>& inputs,
@@ -384,5 +383,4 @@ void experimental_detectron_roi_feature_extractor_postprocessing(void* prois_fea
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/fft.cpp b/src/core/reference/src/op/fft.cpp
index bb9313ca350..012969f278f 100644
--- a/src/core/reference/src/op/fft.cpp
+++ b/src/core/reference/src/op/fft.cpp
@@ -28,11 +28,7 @@
 #include "ngraph/shape.hpp"
 #include "openvino/reference/utils/fft_common.hpp"
 
-using namespace ngraph;
-using namespace ngraph::runtime::reference;
-
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 // FFT operation supports for negative axes to transform. More precisely, according to
 // the FFT operation specification, axes should be integers from -(r - 1) to (r - 2)
@@ -478,5 +474,4 @@ void fft_postprocessing(const HostTensorVector& outputs,
 }
 OPENVINO_SUPPRESS_DEPRECATED_END
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/function.cpp b/src/core/reference/src/op/function.cpp
index e500f70ff59..cfd370e38a5 100644
--- a/src/core/reference/src/op/function.cpp
+++ b/src/core/reference/src/op/function.cpp
@@ -12,13 +12,10 @@
 #include "openvino/core/deprecated.hpp"
 #include "openvino/reference/concat.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 OPENVINO_SUPPRESS_DEPRECATED_START
-void function(const std::shared_ptr<ngraph::Function>& function,
-              const HostTensorVector& inputs,
-              HostTensorVector& outputs) {
+void function(const std::shared_ptr<Model>& function, const HostTensorVector& inputs, HostTensorVector& outputs) {
     const auto& results = function->get_results();
     outputs.reserve(results.size());
     for (size_t i = 0; i < results.size(); ++i) {
@@ -28,5 +25,4 @@ void function(const std::shared_ptr<ngraph::Function>& function,
 }
 OPENVINO_SUPPRESS_DEPRECATED_END
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/gather_tree.cpp b/src/core/reference/src/op/gather_tree.cpp
index 789e56b1fd8..6e9ef4bb04d 100644
--- a/src/core/reference/src/op/gather_tree.cpp
+++ b/src/core/reference/src/op/gather_tree.cpp
@@ -10,10 +10,10 @@
 #include <numeric>
 
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_transform.hpp"
 #include "openvino/core/except.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-using namespace ngraph;
+using namespace ov;
 
 static size_t _asIndex(const char* source, const element::Type& element_type) {
     // According to the GatherTree op specification only I32 and FP32 precisions are supported.
@@ -40,16 +40,16 @@ static size_t _asIndex(const char* source, const element::Type& element_type) {
 }
 
 // This is an implementation of the algorithm from the tensorflow 1.5 sources.
-void runtime::reference::gather_tree(const char* step_ids,
-                                     const char* parent_ids,
-                                     const char* max_seq_len,
-                                     const char* end_token,
-                                     char* out,
-                                     const Shape& step_ids_shape,
-                                     const Shape& parent_ids_shape,
-                                     const Shape& max_seq_len_shape,
-                                     const Shape& end_token_shape,
-                                     const element::Type& element_type) {
+void reference::gather_tree(const char* step_ids,
+                            const char* parent_ids,
+                            const char* max_seq_len,
+                            const char* end_token,
+                            char* out,
+                            const Shape& step_ids_shape,
+                            const Shape& parent_ids_shape,
+                            const Shape& max_seq_len_shape,
+                            const Shape& end_token_shape,
+                            const element::Type& element_type) {
     if (step_ids_shape != parent_ids_shape) {
         OPENVINO_THROW("step_ids shape and parent_ids shape must be the same");
     }
@@ -74,7 +74,7 @@ void runtime::reference::gather_tree(const char* step_ids,
     }
 
     const auto in_strides = row_major_strides(step_ids_shape);
-    ngraph::CoordinateTransformBasic cordinate_transform(step_ids_shape);
+    CoordinateTransformBasic cordinate_transform(step_ids_shape);
 
     for (const auto& coord : cordinate_transform) {
         const auto out_idx = std::inner_product(coord.begin(), coord.end(), in_strides.begin(), uint64_t(0));
diff --git a/src/core/reference/src/op/generate_proposal.cpp b/src/core/reference/src/op/generate_proposal.cpp
index 8a27c947bdd..3e4f9b8707b 100644
--- a/src/core/reference/src/op/generate_proposal.cpp
+++ b/src/core/reference/src/op/generate_proposal.cpp
@@ -210,8 +210,7 @@ static void generate_proposal_fill_output_blobs(const float* proposals,
     }
 }
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 static void generate_proposals_single_image(const std::vector<float>& im_info,
@@ -420,5 +419,4 @@ void generate_proposals_postprocessing(void* prois,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/group_convolution.cpp b/src/core/reference/src/op/group_convolution.cpp
index 2a0f46829ef..f3a85a8b37a 100644
--- a/src/core/reference/src/op/group_convolution.cpp
+++ b/src/core/reference/src/op/group_convolution.cpp
@@ -4,8 +4,7 @@
 
 #include "openvino/reference/group_convolution.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 void validate_group_convolution_parameters(const Shape& in_shape,
@@ -54,5 +53,4 @@ void validate_group_convolution_parameters(const Shape& in_shape,
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/group_convolution_backprop_data.cpp b/src/core/reference/src/op/group_convolution_backprop_data.cpp
index 9892cfe2ca9..a45356d109d 100644
--- a/src/core/reference/src/op/group_convolution_backprop_data.cpp
+++ b/src/core/reference/src/op/group_convolution_backprop_data.cpp
@@ -6,8 +6,7 @@
 
 #include "openvino/reference/group_convolution.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 void infer_backward_conv_output_shape(const Shape& in_spatial_shape,
@@ -113,5 +112,4 @@ void validate_group_convolution_backprop_data_parameters(const Shape& in_shape,
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/if.cpp b/src/core/reference/src/op/if.cpp
index 4c627631396..3fe42b61719 100644
--- a/src/core/reference/src/op/if.cpp
+++ b/src/core/reference/src/op/if.cpp
@@ -8,12 +8,11 @@
 #include "openvino/reference/function.hpp"
 
 OPENVINO_SUPPRESS_DEPRECATED_START
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
-void if_reference(const std::vector<std::shared_ptr<Function>>& bodies,
-                  const std::vector<op::util::MultiSubgraphOutputDescriptionVector>& out_descs,
-                  const std::vector<op::util::MultiSubgraphInputDescriptionVector>& input_descs,
+void if_reference(const std::vector<std::shared_ptr<Model>>& bodies,
+                  const std::vector<op::util::MultiSubGraphOp::MultiSubgraphOutputDescriptionVector>& out_descs,
+                  const std::vector<op::util::MultiSubGraphOp::MultiSubgraphInputDescriptionVector>& input_descs,
                   const HostTensorVector& out,
                   const HostTensorVector& args) {
     NGRAPH_CHECK(args.size() > 0, "If operation must have input condition value");
@@ -42,5 +41,4 @@ void if_reference(const std::vector<std::shared_ptr<Function>>& bodies,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/interpolate.cpp b/src/core/reference/src/op/interpolate.cpp
index 1e6a8dd0666..64bf9f8b469 100644
--- a/src/core/reference/src/op/interpolate.cpp
+++ b/src/core/reference/src/op/interpolate.cpp
@@ -6,7 +6,7 @@
 
 #include <numeric>
 
-using namespace ngraph::runtime::reference;
+using namespace ov::reference;
 
 using Coordinate = ngraph::Coordinate;
 
diff --git a/src/core/reference/src/op/irdft.cpp b/src/core/reference/src/op/irdft.cpp
index 7fe1ab71d03..d66c7a8e556 100644
--- a/src/core/reference/src/op/irdft.cpp
+++ b/src/core/reference/src/op/irdft.cpp
@@ -14,11 +14,7 @@
 #include "openvino/reference/fft.hpp"
 #include "openvino/reference/utils/fft_common.hpp"
 
-using namespace ngraph;
-using namespace ngraph::runtime::reference;
-
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 using complex_type = std::complex<float>;
@@ -153,5 +149,4 @@ void irdft(const std::vector<float>& input_data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/loop.cpp b/src/core/reference/src/op/loop.cpp
index 3f7aaf5b840..0a1ee146664 100644
--- a/src/core/reference/src/op/loop.cpp
+++ b/src/core/reference/src/op/loop.cpp
@@ -4,24 +4,25 @@
 
 #include "openvino/reference/loop.hpp"
 
+#include "openvino/op/tensor_iterator.hpp"
 #include "openvino/reference/concat.hpp"
 #include "openvino/reference/function.hpp"
 #include "openvino/reference/split.hpp"
+
 OPENVINO_SUPPRESS_DEPRECATED_START
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
-void loop(const std::shared_ptr<Function>& func,
+void loop(const std::shared_ptr<Model>& func,
           const op::util::OutputDescriptionVector& out_descs,
           const op::util::InputDescriptionVector& input_descs,
-          const opset5::Loop::SpecialBodyPorts& special_ports,
+          const op::v5::Loop::SpecialBodyPorts& special_ports,
           const HostTensorVector& out,
           const HostTensorVector& args) {
     const auto& cur_iter_idx = special_ports.current_iteration_input_idx;
     auto val = std::find_if(input_descs.begin(),
                             input_descs.end(),
-                            [&cur_iter_idx](const op::util::InputDescriptionPtr& in_desc) {
+                            [&cur_iter_idx](const op::util::SubGraphOp::InputDescription::Ptr& in_desc) {
                                 return in_desc->m_body_parameter_index == static_cast<uint64_t>(cur_iter_idx);
                             });
     bool cur_iter_initial_value_exist = val != input_descs.end();
@@ -41,7 +42,7 @@ void loop(const std::shared_ptr<Function>& func,
             cur_iter->validate_and_infer_types();
         }
 
-        auto init = std::make_shared<opset5::Constant>(func->get_parameters().at(cur_iter_idx)->get_element_type(),
+        auto init = std::make_shared<op::v0::Constant>(func->get_parameters().at(cur_iter_idx)->get_element_type(),
                                                        func->get_parameters().at(cur_iter_idx)->get_shape(),
                                                        0);
         inputs_to_body.at(cur_iter_idx)->initialize(init);
@@ -56,7 +57,7 @@ void loop(const std::shared_ptr<Function>& func,
     std::vector<BackEdge> back_edges;
     for (const auto& desc : input_descs) {
         inputs_to_body[desc->m_body_parameter_index] = args[desc->m_input_index];
-        if (const auto& merged_desc = std::dynamic_pointer_cast<opset5::Loop::MergedInputDescription>(desc)) {
+        if (const auto& merged_desc = std::dynamic_pointer_cast<op::v5::Loop::MergedInputDescription>(desc)) {
             back_edges.push_back({merged_desc->m_body_parameter_index, merged_desc->m_body_value_index});
             cur_iter_back_edge_exist |= merged_desc->m_body_parameter_index == static_cast<uint64_t>(cur_iter_idx);
         }
@@ -79,20 +80,20 @@ void loop(const std::shared_ptr<Function>& func,
     auto exec_condition = args[1]->get_data_ptr<bool>();
     if (exec_condition[0]) {
         // Find all ConcatOutputDescription
-        std::vector<std::shared_ptr<opset5::Loop::ConcatOutputDescription>> concat_outputs;
+        std::vector<std::shared_ptr<op::v5::Loop::ConcatOutputDescription>> concat_outputs;
         for (const auto& desc : out_descs) {
-            if (const auto& concat_desc = std::dynamic_pointer_cast<opset5::Loop::ConcatOutputDescription>(desc)) {
+            if (const auto& concat_desc = std::dynamic_pointer_cast<op::v5::Loop::ConcatOutputDescription>(desc)) {
                 concat_outputs.push_back(concat_desc);
             }
         }
 
         // Slicing
-        std::vector<std::shared_ptr<opset5::TensorIterator::SliceInputDescription>> slice_inputs;
+        std::vector<std::shared_ptr<op::v0::TensorIterator::SliceInputDescription>> slice_inputs;
         std::vector<HostTensorVector> sliced_values;
         int slice_in_idx = 0;
         for (const auto& desc : input_descs) {
             if (const auto& slice_desc =
-                    std::dynamic_pointer_cast<opset5::TensorIterator::SliceInputDescription>(desc)) {
+                    std::dynamic_pointer_cast<op::v0::TensorIterator::SliceInputDescription>(desc)) {
                 const auto el_size = args[slice_desc->m_input_index]->get_element_type().size();
                 slice_inputs.push_back(slice_desc);
                 auto shape = args[slice_desc->m_input_index]->get_shape();
@@ -187,7 +188,7 @@ void loop(const std::shared_ptr<Function>& func,
         }
 
         for (const auto& desc : out_descs) {
-            if (const auto& body_desc = std::dynamic_pointer_cast<opset5::Loop::BodyOutputDescription>(desc)) {
+            if (const auto& body_desc = std::dynamic_pointer_cast<op::v5::Loop::BodyOutputDescription>(desc)) {
                 const auto& res = body_outputs[body_desc->m_body_value_index];
                 out[body_desc->m_output_index]->set_shape(res->get_shape());
                 out[body_desc->m_output_index]->write(res->get_data_ptr(), res->get_size_in_bytes());
@@ -218,5 +219,4 @@ void loop(const std::shared_ptr<Function>& func,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/matmul.cpp b/src/core/reference/src/op/matmul.cpp
index 0ae5046f5fa..446e941e984 100644
--- a/src/core/reference/src/op/matmul.cpp
+++ b/src/core/reference/src/op/matmul.cpp
@@ -11,8 +11,7 @@
 
 #include "ngraph/shape_util.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace details {
 std::vector<size_t> get_transpose_order(const Shape& input_shape) {
@@ -25,5 +24,4 @@ std::vector<size_t> get_transpose_order(const Shape& input_shape) {
 }
 }  // namespace details
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/matrix_nms.cpp b/src/core/reference/src/op/matrix_nms.cpp
index 5e0b51c9541..bc6b3847854 100644
--- a/src/core/reference/src/op/matrix_nms.cpp
+++ b/src/core/reference/src/op/matrix_nms.cpp
@@ -14,11 +14,7 @@
 #include "openvino/reference/matrix_nms.hpp"
 #include "openvino/reference/utils/nms_common.hpp"
 
-using namespace ngraph;
-using namespace ngraph::runtime::reference;
-
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace matrix_nms_v8 {
 template <typename T, bool gaussian>
@@ -163,8 +159,8 @@ void matrix_nms(const float* boxes_data,
                 int64_t* selected_indices,
                 const Shape& selected_indices_shape,
                 int64_t* valid_outputs) {
-    using Rectangle = runtime::reference::nms_common::Rectangle;
-    using BoxInfo = runtime::reference::nms_common::BoxInfo;
+    using Rectangle = reference::nms_common::Rectangle;
+    using BoxInfo = reference::nms_common::BoxInfo;
 
     // boxes shape: {num_batches, num_boxes, 4}
     // scores shape: {num_batches, num_classes, num_boxes}
@@ -287,5 +283,4 @@ void matrix_nms(const float* boxes_data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/multiclass_nms.cpp b/src/core/reference/src/op/multiclass_nms.cpp
index e5e18073a99..cee59347ac1 100644
--- a/src/core/reference/src/op/multiclass_nms.cpp
+++ b/src/core/reference/src/op/multiclass_nms.cpp
@@ -14,14 +14,13 @@
 #include "openvino/reference/multiclass_nms.hpp"
 #include "openvino/reference/utils/nms_common.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace multiclass_nms_impl {
 OPENVINO_SUPPRESS_DEPRECATED_START
 
-using Rectangle = runtime::reference::nms_common::Rectangle;
-using BoxInfo = runtime::reference::nms_common::BoxInfo;
+using Rectangle = reference::nms_common::Rectangle;
+using BoxInfo = reference::nms_common::BoxInfo;
 static float intersectionOverUnion(const Rectangle& boxI, const Rectangle& boxJ, const bool normalized) {
     const float norm = static_cast<float>(normalized == false);
 
@@ -394,5 +393,4 @@ void multiclass_nms(const float* boxes_data,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/non_max_suppression.cpp b/src/core/reference/src/op/non_max_suppression.cpp
index e85d6e2d47d..e0032c3f5b4 100644
--- a/src/core/reference/src/op/non_max_suppression.cpp
+++ b/src/core/reference/src/op/non_max_suppression.cpp
@@ -12,11 +12,7 @@
 #include "ngraph/shape.hpp"
 #include "openvino/reference/non_max_suppression.hpp"
 
-using namespace ngraph;
-using namespace ngraph::runtime::reference;
-
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 struct Rectangle {
@@ -452,5 +448,4 @@ void nms5_postprocessing(const HostTensorVector& outputs,
     nms_postprocessing(outputs, output_type, selected_indices, selected_scores, valid_outputs, selected_scores_type);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/pad.cpp b/src/core/reference/src/op/pad.cpp
index b6d74d6a32a..ad8ab0f9f0b 100644
--- a/src/core/reference/src/op/pad.cpp
+++ b/src/core/reference/src/op/pad.cpp
@@ -8,11 +8,10 @@
 
 #include "ngraph/axis_vector.hpp"
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_index.hpp"
-#include "ngraph/coordinate_transform.hpp"
+#include "openvino/reference/utils/coordinate_index.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace impl {
 namespace {
 template <typename T>
@@ -209,5 +208,4 @@ void pad(const char* data,
     impl::pad(data, pad_value, out, elem_size, data_shape, out_shape, padding_below, padding_above, pad_mode);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/random_uniform.cpp b/src/core/reference/src/op/random_uniform.cpp
index dd9b556e76d..99bd70aca40 100644
--- a/src/core/reference/src/op/random_uniform.cpp
+++ b/src/core/reference/src/op/random_uniform.cpp
@@ -9,8 +9,7 @@
 #include "ngraph/shape.hpp"
 #include "openvino/core/except.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 
@@ -321,5 +320,4 @@ std::pair<uint64_t, uint64_t> random_uniform(const uint64_t* out_shape,
 }
 
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/rdft.cpp b/src/core/reference/src/op/rdft.cpp
index 52983e1fd48..771b05f73a1 100644
--- a/src/core/reference/src/op/rdft.cpp
+++ b/src/core/reference/src/op/rdft.cpp
@@ -23,11 +23,7 @@
 #include "openvino/reference/fft.hpp"
 #include "openvino/reference/utils/fft_common.hpp"
 
-using namespace ngraph;
-using namespace ngraph::runtime::reference;
-
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 using complex_type = std::complex<float>;
@@ -85,5 +81,4 @@ void rdft(const std::vector<float>& input_data,
     clip_and_write_result(axes_data, fft_result, output_fft_shape, rdft_result);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/reorg_yolo.cpp b/src/core/reference/src/op/reorg_yolo.cpp
index 1cba3a2658d..1bf40680e16 100644
--- a/src/core/reference/src/op/reorg_yolo.cpp
+++ b/src/core/reference/src/op/reorg_yolo.cpp
@@ -10,10 +10,7 @@
 
 #include "ngraph/shape.hpp"
 
-using namespace ngraph;
-
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void reorg_yolo(const char* arg, char* out, const Shape& in_shape, int64_t stride, const size_t elem_size) {
     // [N, C, H, W]
@@ -57,5 +54,4 @@ void reorg_yolo(const char* arg, char* out, const Shape& in_shape, int64_t strid
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/reshape.cpp b/src/core/reference/src/op/reshape.cpp
index e07485bf903..2da555a542a 100644
--- a/src/core/reference/src/op/reshape.cpp
+++ b/src/core/reference/src/op/reshape.cpp
@@ -8,11 +8,10 @@
 #include <numeric>
 
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_range.hpp"
-#include "ngraph/coordinate_transform.hpp"
+#include "openvino/reference/utils/coordinate_range.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace {
 std::vector<size_t> reorder(const std::vector<size_t>& origin, const AxisVector& order) {
@@ -52,5 +51,4 @@ void reshape(const char* arg,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/reverse.cpp b/src/core/reference/src/op/reverse.cpp
index 78e26cbc714..0794a81ce95 100644
--- a/src/core/reference/src/op/reverse.cpp
+++ b/src/core/reference/src/op/reverse.cpp
@@ -9,12 +9,11 @@
 #include <iterator>
 
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_range.hpp"
+#include "openvino/reference/utils/coordinate_range.hpp"
 
 using namespace ngraph;
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void reverse(const char* arg,
              char* out,
@@ -50,5 +49,4 @@ void reverse(const char* arg,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/shuffle_channels.cpp b/src/core/reference/src/op/shuffle_channels.cpp
index 685d7ddecc1..487d9511538 100644
--- a/src/core/reference/src/op/shuffle_channels.cpp
+++ b/src/core/reference/src/op/shuffle_channels.cpp
@@ -6,8 +6,7 @@
 
 #include "ngraph/runtime/opt_kernel/reshape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void shuffle_channels(const char* arg,
                       char* out,
@@ -43,11 +42,10 @@ void shuffle_channels(const char* arg,
                                  reshaped_input_shape[1],
                                  reshaped_input_shape[3]};
     AxisVector axis_vector{0, 2, 1, 3};
-    runtime::opt_kernel::reshape(arg, out, reshaped_input_shape, axis_vector, transposed_shape, elem_size);
+    ngraph::runtime::opt_kernel::reshape(arg, out, reshaped_input_shape, axis_vector, transposed_shape, elem_size);
 
     // Reshaped 4D tensor is interpreted as ND output tensor with original shape of data
     // input
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/slice.cpp b/src/core/reference/src/op/slice.cpp
index faa0d3ba5cf..4ea9bc6be23 100644
--- a/src/core/reference/src/op/slice.cpp
+++ b/src/core/reference/src/op/slice.cpp
@@ -7,11 +7,10 @@
 #include <cstring>
 
 #include "ngraph/check.hpp"
-#include "ngraph/coordinate_range.hpp"
 #include "openvino/core/except.hpp"
+#include "openvino/reference/utils/coordinate_range.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 
 void slice(const char* data,
@@ -85,5 +84,4 @@ void slice(const char* arg,
     NGRAPH_SUPPRESS_DEPRECATED_END
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/space_to_depth.cpp b/src/core/reference/src/op/space_to_depth.cpp
index d63627b081f..646550bb2a6 100644
--- a/src/core/reference/src/op/space_to_depth.cpp
+++ b/src/core/reference/src/op/space_to_depth.cpp
@@ -9,15 +9,14 @@
 #include "ngraph/check.hpp"
 #include "ngraph/runtime/opt_kernel/reshape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void space_to_depth(const char* const in,
                     const Shape& in_shape,
                     char* const out,
                     const Shape& out_shape,
                     const size_t block_size,
-                    const op::SpaceToDepth::SpaceToDepthMode mode,
+                    const op::v0::SpaceToDepth::SpaceToDepthMode mode,
                     const size_t elem_size) {
     // SpaceToDepth run in tree steps:
     // - disperse data from depth channel
@@ -66,7 +65,7 @@ void space_to_depth(const char* const in,
     // x'' = transpose(x', [0,  1, 3, 5, ..., K + (K + 1),  2, 4, ..., K + K])
     // y = reshape(x'', [N, C * (block_size ^ K), D1 / block_size, D2 / block_size, ...,
     //             DK / block_size])
-    case op::SpaceToDepth::SpaceToDepthMode::DEPTH_FIRST: {
+    case op::v0::SpaceToDepth::SpaceToDepthMode::DEPTH_FIRST: {
         axes_order.insert(axes_order.begin() + 1, 1);
         break;
     }
@@ -75,7 +74,7 @@ void space_to_depth(const char* const in,
     // x'' = transpose(x',  [0,  3, 5, ..., K + (K + 1), 1,  2, 4, ..., K + K])
     // y = reshape(x'', [N, C * (block_size ^ K), D1 / block_size, D2 / block_size, ...,
     //             DK / block_size])
-    case op::SpaceToDepth::SpaceToDepthMode::BLOCKS_FIRST: {
+    case op::v0::SpaceToDepth::SpaceToDepthMode::BLOCKS_FIRST: {
         axes_order.insert(axes_order.begin() + spatial_dims + 1, 1);
     }
     }
@@ -85,8 +84,7 @@ void space_to_depth(const char* const in,
         post_transpose_shape[axis_idx] = dispersed_shape[axes_order[axis_idx]];
     }
 
-    runtime::opt_kernel::reshape(in, out, dispersed_shape, axes_order, post_transpose_shape, elem_size);
+    ngraph::runtime::opt_kernel::reshape(in, out, dispersed_shape, axes_order, post_transpose_shape, elem_size);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/split.cpp b/src/core/reference/src/op/split.cpp
index e8095c258c4..41a2dba235a 100644
--- a/src/core/reference/src/op/split.cpp
+++ b/src/core/reference/src/op/split.cpp
@@ -10,14 +10,14 @@
 
 #include "ngraph/check.hpp"
 
-using namespace ngraph;
+using namespace ov;
 
-void runtime::reference::split(const char* data,
-                               const Shape& data_shape,
-                               size_t elem_size,
-                               int64_t axis,
-                               size_t num_splits,
-                               char** out_data) {
+void reference::split(const char* data,
+                      const Shape& data_shape,
+                      size_t elem_size,
+                      int64_t axis,
+                      size_t num_splits,
+                      char** out_data) {
     const size_t part_length = data_shape.at(axis) / num_splits;
 
     Shape output_shape = data_shape;
@@ -28,14 +28,14 @@ void runtime::reference::split(const char* data,
     upper_bounds.at(axis) = part_length;
 
     for (size_t i = 0; i < num_splits; ++i) {
-        runtime::reference::slice(data,
-                                  out_data[i],
-                                  data_shape,
-                                  lower_bounds,
-                                  upper_bounds,
-                                  Strides(lower_bounds.size(), 1),
-                                  output_shape,
-                                  elem_size);
+        reference::slice(data,
+                         out_data[i],
+                         data_shape,
+                         lower_bounds,
+                         upper_bounds,
+                         Strides(lower_bounds.size(), 1),
+                         output_shape,
+                         elem_size);
         lower_bounds.at(axis) += part_length;
         upper_bounds.at(axis) += part_length;
     }
diff --git a/src/core/reference/src/op/strided_slice.cpp b/src/core/reference/src/op/strided_slice.cpp
index 5d16f130188..06e95dd4d17 100644
--- a/src/core/reference/src/op/strided_slice.cpp
+++ b/src/core/reference/src/op/strided_slice.cpp
@@ -11,14 +11,14 @@
 #include "ngraph/check.hpp"
 #include "ngraph/runtime/aligned_buffer.hpp"
 
-using namespace ngraph;
+using namespace ov;
 NGRAPH_SUPPRESS_DEPRECATED_START
 
-void runtime::reference::strided_slice(const char* arg,
-                                       char* out,
-                                       const Shape& arg_shape,
-                                       const SlicePlan& sp,
-                                       size_t elem_type) {
+void reference::strided_slice(const char* arg,
+                              char* out,
+                              const Shape& arg_shape,
+                              const ngraph::SlicePlan& sp,
+                              size_t elem_type) {
     auto hasZeroDims = [](const ov::Shape& shape) -> bool {
         return std::any_of(shape.begin(), shape.end(), [](const size_t& dim) {
             return dim == 0;
@@ -28,7 +28,7 @@ void runtime::reference::strided_slice(const char* arg,
         return;
     }
 
-    runtime::AlignedBuffer slice_out_buffer(shape_size(sp.reshape_in_shape) * elem_type);
+    ngraph::runtime::AlignedBuffer slice_out_buffer(shape_size(sp.reshape_in_shape) * elem_type);
     slice(reinterpret_cast<const char*>(arg),
           slice_out_buffer.get_ptr<char>(),
           arg_shape,
@@ -38,13 +38,13 @@ void runtime::reference::strided_slice(const char* arg,
           sp.reshape_in_shape,
           elem_type);
 
-    runtime::AlignedBuffer reshape_out_buffer(shape_size(sp.reshape_out_shape) * elem_type);
-    opt_kernel::reshape(slice_out_buffer.get_ptr<char>(),
-                        reshape_out_buffer.get_ptr<char>(),
-                        sp.reshape_in_shape,
-                        get_default_order(sp.reshape_in_shape.size()),
-                        sp.reshape_out_shape,
-                        elem_type);
+    ngraph::runtime::AlignedBuffer reshape_out_buffer(shape_size(sp.reshape_out_shape) * elem_type);
+    ngraph::runtime::opt_kernel::reshape(slice_out_buffer.get_ptr<char>(),
+                                         reshape_out_buffer.get_ptr<char>(),
+                                         sp.reshape_in_shape,
+                                         ngraph::get_default_order(sp.reshape_in_shape.size()),
+                                         sp.reshape_out_shape,
+                                         elem_type);
 
     reverse(reshape_out_buffer.get_ptr<char>(),
             out,
diff --git a/src/core/reference/src/op/tensor_iterator.cpp b/src/core/reference/src/op/tensor_iterator.cpp
index c19fc688a5b..26646536372 100644
--- a/src/core/reference/src/op/tensor_iterator.cpp
+++ b/src/core/reference/src/op/tensor_iterator.cpp
@@ -9,11 +9,10 @@
 #include "openvino/reference/split.hpp"
 
 OPENVINO_SUPPRESS_DEPRECATED_START
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void tensor_iterator(uint64_t num_iterations,
-                     const std::shared_ptr<Function>& func,
+                     const std::shared_ptr<Model>& func,
                      const op::util::OutputDescriptionVector& out_descs,
                      const op::util::InputDescriptionVector& input_descs,
                      const HostTensorVector& out,
@@ -31,25 +30,25 @@ void tensor_iterator(uint64_t num_iterations,
     std::vector<BackEdge> back_edges;
     for (const auto& desc : input_descs) {
         inputs_to_body[desc->m_body_parameter_index] = args[desc->m_input_index];
-        if (const auto& merged_desc = std::dynamic_pointer_cast<opset5::Loop::MergedInputDescription>(desc)) {
+        if (const auto& merged_desc = std::dynamic_pointer_cast<op::v5::Loop::MergedInputDescription>(desc)) {
             back_edges.push_back({merged_desc->m_body_parameter_index, merged_desc->m_body_value_index});
         }
     }
     // Find all ConcatOutputDescription
-    std::vector<std::shared_ptr<opset5::TensorIterator::ConcatOutputDescription>> concat_outputs;
+    std::vector<std::shared_ptr<op::v0::TensorIterator::ConcatOutputDescription>> concat_outputs;
     for (const auto& desc : out_descs) {
         if (const auto& concat_desc =
-                std::dynamic_pointer_cast<opset5::TensorIterator::ConcatOutputDescription>(desc)) {
+                std::dynamic_pointer_cast<op::v0::TensorIterator::ConcatOutputDescription>(desc)) {
             concat_outputs.push_back(concat_desc);
         }
     }
 
     // Slicing
-    std::vector<std::shared_ptr<opset5::TensorIterator::SliceInputDescription>> slice_inputs;
+    std::vector<std::shared_ptr<op::v0::TensorIterator::SliceInputDescription>> slice_inputs;
     std::vector<HostTensorVector> sliced_values;
     int slice_in_idx = 0;
     for (const auto& desc : input_descs) {
-        if (const auto& slice_desc = std::dynamic_pointer_cast<opset5::TensorIterator::SliceInputDescription>(desc)) {
+        if (const auto& slice_desc = std::dynamic_pointer_cast<op::v0::TensorIterator::SliceInputDescription>(desc)) {
             const auto el_size = args[slice_desc->m_input_index]->get_element_type().size();
             slice_inputs.push_back(slice_desc);
             auto shape = args[slice_desc->m_input_index]->get_shape();
@@ -105,7 +104,7 @@ void tensor_iterator(uint64_t num_iterations,
     }
 
     for (const auto& desc : out_descs) {
-        if (const auto& body_desc = std::dynamic_pointer_cast<opset5::TensorIterator::BodyOutputDescription>(desc)) {
+        if (const auto& body_desc = std::dynamic_pointer_cast<op::v0::TensorIterator::BodyOutputDescription>(desc)) {
             // Copy output values from the last iteration
             const auto& res = body_outputs[body_desc->m_body_value_index];
             out[body_desc->m_output_index]->set_shape(res->get_shape());
@@ -138,5 +137,4 @@ void tensor_iterator(uint64_t num_iterations,
     }
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/tile.cpp b/src/core/reference/src/op/tile.cpp
index bff01bb0dc3..b027613d980 100644
--- a/src/core/reference/src/op/tile.cpp
+++ b/src/core/reference/src/op/tile.cpp
@@ -11,7 +11,7 @@
 
 #include "ngraph/check.hpp"
 
-using namespace ngraph;
+using namespace ov;
 
 namespace {
 /// \brief For each axis calculates the product of inner axes
@@ -31,12 +31,12 @@ std::vector<int64_t> create_pitches(const Shape& dims) {
 }
 }  // namespace
 
-void runtime::reference::tile(const char* arg,
-                              char* out,
-                              const Shape& in_shape,
-                              const Shape& out_shape,
-                              const size_t elem_size,
-                              const std::vector<int64_t>& repeats) {
+void reference::tile(const char* arg,
+                     char* out,
+                     const Shape& in_shape,
+                     const Shape& out_shape,
+                     const size_t elem_size,
+                     const std::vector<int64_t>& repeats) {
     Shape in_shape_expanded(in_shape);
     in_shape_expanded.insert(in_shape_expanded.begin(), out_shape.size() - in_shape.size(), 1);
     size_t block_size = 0;
diff --git a/src/core/reference/src/op/transpose.cpp b/src/core/reference/src/op/transpose.cpp
index b3de7c9f116..1706775f572 100644
--- a/src/core/reference/src/op/transpose.cpp
+++ b/src/core/reference/src/op/transpose.cpp
@@ -12,8 +12,7 @@
 #include "ngraph/runtime/opt_kernel/reshape.hpp"
 #include "ngraph/shape.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 void transpose(const char* data,
                char* out,
@@ -24,8 +23,7 @@ void transpose(const char* data,
     // To reuse opt_kernel::reshape axes order vector has to be converted to AxisVector
     // Negative axes are not supported, it is validated by transpose evaluate method
     std::vector<size_t> axis_vector(axes_order, axes_order + data_shape.size());
-    runtime::opt_kernel::reshape(data, out, data_shape, axis_vector, out_shape, element_size);
+    ngraph::runtime::opt_kernel::reshape(data, out, data_shape, axis_vector, out_shape, element_size);
 }
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/utils/fft_common.cpp b/src/core/reference/src/op/utils/fft_common.cpp
index 62a0bea81da..ec9c91a1211 100644
--- a/src/core/reference/src/op/utils/fft_common.cpp
+++ b/src/core/reference/src/op/utils/fft_common.cpp
@@ -12,8 +12,7 @@
 
 #include "ngraph/check.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace fft_common {
 std::vector<int64_t> reverse_shape_of_emulated_complex_tensor(const ngraph::Shape& shape) {
@@ -68,5 +67,4 @@ std::vector<int64_t> reverse_fft_axes(const std::vector<int64_t>& axes, int64_t
 }
 }  // namespace fft_common
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/op/utils/nms_common.cpp b/src/core/reference/src/op/utils/nms_common.cpp
index 6db5f20878f..a8dfe16687b 100644
--- a/src/core/reference/src/op/utils/nms_common.cpp
+++ b/src/core/reference/src/op/utils/nms_common.cpp
@@ -10,8 +10,7 @@
 
 #include "ngraph/check.hpp"
 
-namespace ngraph {
-namespace runtime {
+namespace ov {
 namespace reference {
 namespace nms_common {
 void nms_common_postprocessing(void* prois,
@@ -71,5 +70,4 @@ void nms_common_postprocessing(void* prois,
 }
 }  // namespace nms_common
 }  // namespace reference
-}  // namespace runtime
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/runtime/opt_kernel/reshape.cpp b/src/core/reference/src/runtime/opt_kernel/reshape.cpp
index 1305ba0abd9..f1bfd265182 100644
--- a/src/core/reference/src/runtime/opt_kernel/reshape.cpp
+++ b/src/core/reference/src/runtime/opt_kernel/reshape.cpp
@@ -370,7 +370,7 @@ void runtime::opt_kernel::reshape(const char* in,
         reshape_in6(in, out, in_shape, in_axis_order, out_shape, elem_size);
         break;
     default:
-        reference::reshape(in, out, in_shape, in_axis_order, out_shape, elem_size);
+        ov::reference::reshape(in, out, in_shape, in_axis_order, out_shape, elem_size);
         break;
     }
 }
diff --git a/src/core/reference/src/coordinate_index.cpp b/src/core/reference/src/utils/coordinate_index.cpp
similarity index 77%
rename from src/core/reference/src/coordinate_index.cpp
rename to src/core/reference/src/utils/coordinate_index.cpp
index 4a5c96c2b51..a8654d49169 100644
--- a/src/core/reference/src/coordinate_index.cpp
+++ b/src/core/reference/src/utils/coordinate_index.cpp
@@ -2,12 +2,12 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
-#include "ngraph/coordinate_index.hpp"
+#include "openvino/reference/utils/coordinate_index.hpp"
 
-#include "ngraph/coordinate.hpp"
-#include "ngraph/shape.hpp"
+#include "openvino/core/coordinate.hpp"
+#include "openvino/core/shape.hpp"
 
-namespace ngraph {
+namespace ov {
 std::size_t coordinate_index(const Coordinate& c, const Shape& s) {
     if (c.size() < s.size()) {
         throw std::domain_error("Coordinate rank is less than shape rank.");
@@ -25,4 +25,4 @@ std::size_t coordinate_index(const Coordinate& c, const Shape& s) {
 
     return index;
 }
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/coordinate_range.cpp b/src/core/reference/src/utils/coordinate_range.cpp
similarity index 97%
rename from src/core/reference/src/coordinate_range.cpp
rename to src/core/reference/src/utils/coordinate_range.cpp
index 1b90c2eab42..61c039c8090 100644
--- a/src/core/reference/src/coordinate_range.cpp
+++ b/src/core/reference/src/utils/coordinate_range.cpp
@@ -2,15 +2,15 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
-#include "ngraph/coordinate_range.hpp"
+#include "openvino/reference/utils/coordinate_range.hpp"
 
 #include <cassert>
 #include <numeric>
 #include <stdexcept>
 
-#include "ngraph/coordinate_index.hpp"
+#include "openvino/reference/utils/coordinate_index.hpp"
 
-namespace ngraph {
+namespace ov {
 namespace coordinates {
 namespace impl {
 namespace {
@@ -171,4 +171,4 @@ bool ReverseRange::increment() {
 }  // namespace impl
 
 }  // namespace coordinates
-}  // namespace ngraph
+}  // namespace ov
diff --git a/src/core/reference/src/coordinate_transform.cpp b/src/core/reference/src/utils/coordinate_transform.cpp
similarity index 96%
rename from src/core/reference/src/coordinate_transform.cpp
rename to src/core/reference/src/utils/coordinate_transform.cpp
index bc825700dd4..e62f6154652 100644
--- a/src/core/reference/src/coordinate_transform.cpp
+++ b/src/core/reference/src/utils/coordinate_transform.cpp
@@ -2,7 +2,7 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
-#include "ngraph/coordinate_transform.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
 #include <algorithm>
 #include <cstdio>
@@ -13,13 +13,13 @@
 
 #include "ngraph/axis_vector.hpp"
 #include "ngraph/coordinate_diff.hpp"
-#include "ngraph/coordinate_index.hpp"
 #include "ngraph/except.hpp"
 #include "ngraph/shape.hpp"
 #include "ngraph/strides.hpp"
 #include "ngraph/util.hpp"
+#include "openvino/reference/utils/coordinate_index.hpp"
 
-using namespace ngraph;
+using namespace ov;
 NGRAPH_SUPPRESS_DEPRECATED_START
 
 namespace {
@@ -124,8 +124,9 @@ CoordinateTransform::CoordinateTransform(const Shape& source_shape,
 
     for (size_t i = 0; i < m_n_axes; i++) {
         NGRAPH_SUPPRESS_DEPRECATED_START
-        std::ptrdiff_t padded_upper_bound = subtract_or_zero(source_shape[i], size_t(1)) * target_dilation_strides[i] +
-                                            1 + target_padding_below[i] + target_padding_above[i];
+        std::ptrdiff_t padded_upper_bound =
+            ngraph::subtract_or_zero(source_shape[i], size_t(1)) * target_dilation_strides[i] + 1 +
+            target_padding_below[i] + target_padding_above[i];
         NGRAPH_SUPPRESS_DEPRECATED_END
 
         if (padded_upper_bound < 0) {
@@ -166,8 +167,8 @@ CoordinateTransform::CoordinateTransform(const Shape& source_shape,
 
     for (size_t axis = 0; axis < m_n_axes; axis++) {
         m_target_shape.push_back(
-            ceil_div(source_end_corner[source_axis_order[axis]] - source_start_corner[source_axis_order[axis]],
-                     source_strides[source_axis_order[axis]]));
+            ngraph::ceil_div(source_end_corner[source_axis_order[axis]] - source_start_corner[source_axis_order[axis]],
+                             source_strides[source_axis_order[axis]]));
     }
 }
 
diff --git a/src/core/src/op/abs.cpp b/src/core/src/op/abs.cpp
index bc172845c44..cb4c093fbf3 100644
--- a/src/core/src/op/abs.cpp
+++ b/src/core/src/op/abs.cpp
@@ -26,7 +26,7 @@ namespace {
 template <ov::element::Type_t ET>
 inline bool evaluate(const ngraph::HostTensorPtr& arg0, const ngraph::HostTensorPtr& out, const size_t count) {
     using T = typename ov::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::abs<T>((arg0->get_data_ptr<ET>()), (out->get_data_ptr<ET>()), count);
+    ov::reference::abs<T>((arg0->get_data_ptr<ET>()), (out->get_data_ptr<ET>()), count);
     return true;
 }
 
diff --git a/src/core/src/op/add.cpp b/src/core/src/op/add.cpp
index cc4d2c99ae2..8be44457dc3 100644
--- a/src/core/src/op/add.cpp
+++ b/src/core/src/op/add.cpp
@@ -19,12 +19,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::add(arg0->get_data_ptr<ET>(),
-                            arg1->get_data_ptr<ET>(),
-                            out->get_data_ptr<ET>(),
-                            arg0->get_shape(),
-                            arg1->get_shape(),
-                            broadcast_spec);
+    ov::reference::add(arg0->get_data_ptr<ET>(),
+                       arg1->get_data_ptr<ET>(),
+                       out->get_data_ptr<ET>(),
+                       arg0->get_shape(),
+                       arg1->get_shape(),
+                       broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/batch_to_space.cpp b/src/core/src/op/batch_to_space.cpp
index 8748022406d..4e3a391675d 100644
--- a/src/core/src/op/batch_to_space.cpp
+++ b/src/core/src/op/batch_to_space.cpp
@@ -170,7 +170,7 @@ bool batch_to_space_evaluate(const HostTensorVector& outputs, const HostTensorVe
                                            AxisSet(),
                                            AxisSet(),
                                            AxisSet());
-    runtime::reference::strided_slice(flat_data, outputs[0]->get_data_ptr<char>(), data_shape, slice_plan, elem_size);
+    ov::reference::strided_slice(flat_data, outputs[0]->get_data_ptr<char>(), data_shape, slice_plan, elem_size);
     OPENVINO_SUPPRESS_DEPRECATED_END
     return true;
 }
diff --git a/src/core/src/op/ceiling.cpp b/src/core/src/op/ceiling.cpp
index 6bbc12d21cb..29a36600f2d 100644
--- a/src/core/src/op/ceiling.cpp
+++ b/src/core/src/op/ceiling.cpp
@@ -31,14 +31,14 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::ceiling<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::ceiling<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
 // function used by COPY_TENSOR
 template <element::Type_t ET>
 inline bool copy_tensor(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
-    runtime::reference::copy(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::copy(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/clamp.cpp b/src/core/src/op/clamp.cpp
index a81fd279bd7..b7f7f408905 100644
--- a/src/core/src/op/clamp.cpp
+++ b/src/core/src/op/clamp.cpp
@@ -19,7 +19,7 @@ namespace clamp {
 namespace {
 template <element::Type_t ET, typename T>
 bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, T min, T max, size_t count) {
-    runtime::reference::clamp<T>(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), min, max, count);
+    ov::reference::clamp<T>(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), min, max, count);
     return true;
 }
 
diff --git a/src/core/src/op/concat.cpp b/src/core/src/op/concat.cpp
index d4966640c2a..7c0595d0256 100644
--- a/src/core/src/op/concat.cpp
+++ b/src/core/src/op/concat.cpp
@@ -90,12 +90,12 @@ bool evaluate_concat(const HostTensorVector& args, const HostTensorPtr& out, int
         out_shape[concatenation_axis] += arg_shapes.back()[concatenation_axis];
     }
     out->set_shape(out_shape);
-    runtime::reference::concat(arg_bufs,
-                               out->get_data_ptr<char>(),
-                               arg_shapes,
-                               out_shape,
-                               concatenation_axis,
-                               out->get_element_type().size());
+    ov::reference::concat(arg_bufs,
+                          out->get_data_ptr<char>(),
+                          arg_shapes,
+                          out_shape,
+                          concatenation_axis,
+                          out->get_element_type().size());
 
     return true;
 }
@@ -129,12 +129,12 @@ bool op::Concat::evaluate(ov::TensorVector& outputs, const ov::TensorVector& inp
         out_shape[concat_axis] += arg_shapes.back()[concat_axis];
     }
     outputs.front().set_shape(out_shape);
-    ngraph::runtime::reference::concat(arg_bufs,
-                                       static_cast<char*>(outputs.front().data()),
-                                       arg_shapes,
-                                       out_shape,
-                                       concat_axis,
-                                       outputs.front().get_element_type().size());
+    ov::reference::concat(arg_bufs,
+                          static_cast<char*>(outputs.front().data()),
+                          arg_shapes,
+                          out_shape,
+                          concat_axis,
+                          outputs.front().get_element_type().size());
 
     return true;
 }
diff --git a/src/core/src/op/convert.cpp b/src/core/src/op/convert.cpp
index 6e465279bbb..d6a34741fa3 100644
--- a/src/core/src/op/convert.cpp
+++ b/src/core/src/op/convert.cpp
@@ -53,13 +53,13 @@ bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out) {
     if (((INPUT_ET == element::u1) || (OUTPUT_ET == element::u1)) ||
         ((INPUT_ET == element::u4) || (OUTPUT_ET == element::u4)) ||
         ((INPUT_ET == element::i4) || (OUTPUT_ET == element::i4))) {
-        runtime::reference::detail::lp_convert(arg->get_data_ptr<INPUT_ET>(),
-                                               out->get_data_ptr<OUTPUT_ET>(),
-                                               element_count,
-                                               INPUT_ET,
-                                               OUTPUT_ET);
+        ov::reference::detail::lp_convert(arg->get_data_ptr<INPUT_ET>(),
+                                          out->get_data_ptr<OUTPUT_ET>(),
+                                          element_count,
+                                          INPUT_ET,
+                                          OUTPUT_ET);
     } else {
-        runtime::reference::convert(arg->get_data_ptr<INPUT_ET>(), out->get_data_ptr<OUTPUT_ET>(), element_count);
+        ov::reference::convert(arg->get_data_ptr<INPUT_ET>(), out->get_data_ptr<OUTPUT_ET>(), element_count);
     }
     return true;
 }
diff --git a/src/core/src/op/cum_sum.cpp b/src/core/src/op/cum_sum.cpp
index d18765e7cb9..9cfb94a13ec 100644
--- a/src/core/src/op/cum_sum.cpp
+++ b/src/core/src/op/cum_sum.cpp
@@ -62,12 +62,12 @@ template <element::Type_t DATA_ET, element::Type_t AXIS_ET>
 bool evaluate_cum_sum(TensorVector& outputs, const TensorVector& inputs, const bool exclusive, const bool reverse) {
     using data_t = fundamental_type_for<DATA_ET>;
     using axis_t = fundamental_type_for<AXIS_ET>;
-    ngraph::runtime::reference::cumsum<data_t, axis_t>(inputs[0].data<data_t>(),
-                                                       inputs[1].data<axis_t>(),
-                                                       outputs[0].data<data_t>(),
-                                                       inputs[0].get_shape(),
-                                                       exclusive,
-                                                       reverse);
+    ov::reference::cumsum<data_t, axis_t>(inputs[0].data<data_t>(),
+                                          inputs[1].data<axis_t>(),
+                                          outputs[0].data<data_t>(),
+                                          inputs[0].get_shape(),
+                                          exclusive,
+                                          reverse);
     return true;
 }
 
diff --git a/src/core/src/op/depth_to_space.cpp b/src/core/src/op/depth_to_space.cpp
index 9286679cea7..ce3003ed83f 100644
--- a/src/core/src/op/depth_to_space.cpp
+++ b/src/core/src/op/depth_to_space.cpp
@@ -62,13 +62,13 @@ bool evaluate_depth_to_space(const HostTensorVector& outputs,
     if (in->get_partial_shape().is_dynamic()) {
         return false;
     }
-    runtime::reference::depth_to_space(in->get_data_ptr<char>(),
-                                       in->get_shape(),
-                                       out->get_data_ptr<char>(),
-                                       out->get_shape(),
-                                       block_size,
-                                       mode,
-                                       elem_size);
+    ov::reference::depth_to_space(in->get_data_ptr<char>(),
+                                  in->get_shape(),
+                                  out->get_data_ptr<char>(),
+                                  out->get_shape(),
+                                  block_size,
+                                  mode,
+                                  elem_size);
     return true;
 }
 }  // namespace
diff --git a/src/core/src/op/divide.cpp b/src/core/src/op/divide.cpp
index f7d1c8a569c..8ab229a9a74 100644
--- a/src/core/src/op/divide.cpp
+++ b/src/core/src/op/divide.cpp
@@ -30,13 +30,13 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec,
               bool pythondiv) {
-    runtime::reference::divide(arg0->get_data_ptr<ET>(),
-                               arg1->get_data_ptr<ET>(),
-                               out->get_data_ptr<ET>(),
-                               arg0->get_shape(),
-                               arg1->get_shape(),
-                               broadcast_spec,
-                               pythondiv);
+    ov::reference::divide(arg0->get_data_ptr<ET>(),
+                          arg1->get_data_ptr<ET>(),
+                          out->get_data_ptr<ET>(),
+                          arg0->get_shape(),
+                          arg1->get_shape(),
+                          broadcast_spec,
+                          pythondiv);
     return true;
 }
 
diff --git a/src/core/src/op/equal.cpp b/src/core/src/op/equal.cpp
index 160fa974582..035a9e24227 100644
--- a/src/core/src/op/equal.cpp
+++ b/src/core/src/op/equal.cpp
@@ -23,12 +23,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::equal(arg0->get_data_ptr<ET>(),
-                              arg1->get_data_ptr<ET>(),
-                              out->get_data_ptr<element::Type_t::boolean>(),
-                              arg0->get_shape(),
-                              arg1->get_shape(),
-                              broadcast_spec);
+    ov::reference::equal(arg0->get_data_ptr<ET>(),
+                         arg1->get_data_ptr<ET>(),
+                         out->get_data_ptr<element::Type_t::boolean>(),
+                         arg0->get_shape(),
+                         arg1->get_shape(),
+                         broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/erf.cpp b/src/core/src/op/erf.cpp
index 7b6e73798ac..36acd027a27 100644
--- a/src/core/src/op/erf.cpp
+++ b/src/core/src/op/erf.cpp
@@ -34,7 +34,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::erf<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::erf<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/exp.cpp b/src/core/src/op/exp.cpp
index 8726fe03c76..d5076c963e4 100644
--- a/src/core/src/op/exp.cpp
+++ b/src/core/src/op/exp.cpp
@@ -34,7 +34,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::exp<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::exp<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/eye.cpp b/src/core/src/op/eye.cpp
index e37c0422ae7..18c3de19c19 100644
--- a/src/core/src/op/eye.cpp
+++ b/src/core/src/op/eye.cpp
@@ -16,7 +16,7 @@ namespace eye {
 namespace {
 template <ov::element::Type_t ET>
 bool evaluate(const ov::HostTensorPtr& out, const int64_t diagonal_index) {
-    ngraph::runtime::reference::eye(out->get_data_ptr<ET>(), out->get_shape(), diagonal_index);
+    ov::reference::eye(out->get_data_ptr<ET>(), out->get_shape(), diagonal_index);
     return true;
 }
 
diff --git a/src/core/src/op/fake_quantize.cpp b/src/core/src/op/fake_quantize.cpp
index 7eb8fa366c2..625d0c8952f 100644
--- a/src/core/src/op/fake_quantize.cpp
+++ b/src/core/src/op/fake_quantize.cpp
@@ -89,19 +89,19 @@ bool evaluate(const HostTensorPtr& arg0,
     using T = typename element_type_traits<ET>::value_type;
     out->set_shape(arg0->get_shape());
     out->set_element_type(arg0->get_element_type());
-    runtime::reference::fake_quantize<T>(arg0->get_data_ptr<const T>(),
-                                         arg1->get_data_ptr<const T>(),
-                                         arg2->get_data_ptr<const T>(),
-                                         arg3->get_data_ptr<const T>(),
-                                         arg4->get_data_ptr<const T>(),
-                                         out->get_data_ptr<T>(),
-                                         arg0->get_shape(),
-                                         arg1->get_shape(),
-                                         arg2->get_shape(),
-                                         arg3->get_shape(),
-                                         arg4->get_shape(),
-                                         parent->get_levels(),
-                                         parent->get_auto_broadcast());
+    ov::reference::fake_quantize<T>(arg0->get_data_ptr<const T>(),
+                                    arg1->get_data_ptr<const T>(),
+                                    arg2->get_data_ptr<const T>(),
+                                    arg3->get_data_ptr<const T>(),
+                                    arg4->get_data_ptr<const T>(),
+                                    out->get_data_ptr<T>(),
+                                    arg0->get_shape(),
+                                    arg1->get_shape(),
+                                    arg2->get_shape(),
+                                    arg3->get_shape(),
+                                    arg4->get_shape(),
+                                    parent->get_levels(),
+                                    parent->get_auto_broadcast());
     return true;
 }
 
diff --git a/src/core/src/op/floor.cpp b/src/core/src/op/floor.cpp
index 7ca324baed6..ffc9f20e1b1 100644
--- a/src/core/src/op/floor.cpp
+++ b/src/core/src/op/floor.cpp
@@ -35,14 +35,14 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::floor<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::floor<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
 // function used by COPY_TENSOR
 template <element::Type_t ET>
 inline bool copy_tensor(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
-    runtime::reference::copy(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::copy(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/floor_mod.cpp b/src/core/src/op/floor_mod.cpp
index cc89b061349..16bc282d5b0 100644
--- a/src/core/src/op/floor_mod.cpp
+++ b/src/core/src/op/floor_mod.cpp
@@ -30,12 +30,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::floor_mod(arg0->get_data_ptr<ET>(),
-                                  arg1->get_data_ptr<ET>(),
-                                  out->get_data_ptr<ET>(),
-                                  arg0->get_shape(),
-                                  arg1->get_shape(),
-                                  broadcast_spec);
+    ov::reference::floor_mod(arg0->get_data_ptr<ET>(),
+                             arg1->get_data_ptr<ET>(),
+                             out->get_data_ptr<ET>(),
+                             arg0->get_shape(),
+                             arg1->get_shape(),
+                             broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/gelu.cpp b/src/core/src/op/gelu.cpp
index 3fdbc7ad581..c858cb1374d 100644
--- a/src/core/src/op/gelu.cpp
+++ b/src/core/src/op/gelu.cpp
@@ -110,7 +110,7 @@ inline bool evaluate(const HostTensorPtr& arg0,
                      op::GeluApproximationMode mode,
                      const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::gelu<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), mode, count);
+    ov::reference::gelu<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), mode, count);
     return true;
 }
 
diff --git a/src/core/src/op/greater.cpp b/src/core/src/op/greater.cpp
index d0a32d6c0b7..25323faf0dc 100644
--- a/src/core/src/op/greater.cpp
+++ b/src/core/src/op/greater.cpp
@@ -19,12 +19,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::greater(arg0->get_data_ptr<ET>(),
-                                arg1->get_data_ptr<ET>(),
-                                out->get_data_ptr<element::Type_t::boolean>(),
-                                arg0->get_shape(),
-                                arg1->get_shape(),
-                                broadcast_spec);
+    ov::reference::greater(arg0->get_data_ptr<ET>(),
+                           arg1->get_data_ptr<ET>(),
+                           out->get_data_ptr<element::Type_t::boolean>(),
+                           arg0->get_shape(),
+                           arg1->get_shape(),
+                           broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/greater_eq.cpp b/src/core/src/op/greater_eq.cpp
index 2b1bf2b0568..53d6e9a9e86 100644
--- a/src/core/src/op/greater_eq.cpp
+++ b/src/core/src/op/greater_eq.cpp
@@ -20,12 +20,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::greater_eq(arg0->get_data_ptr<ET>(),
-                                   arg1->get_data_ptr<ET>(),
-                                   out->get_data_ptr<element::Type_t::boolean>(),
-                                   arg0->get_shape(),
-                                   arg1->get_shape(),
-                                   broadcast_spec);
+    ov::reference::greater_eq(arg0->get_data_ptr<ET>(),
+                              arg1->get_data_ptr<ET>(),
+                              out->get_data_ptr<element::Type_t::boolean>(),
+                              arg0->get_shape(),
+                              arg1->get_shape(),
+                              broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/grid_sample.cpp b/src/core/src/op/grid_sample.cpp
index ab015beac40..80226db5ce9 100644
--- a/src/core/src/op/grid_sample.cpp
+++ b/src/core/src/op/grid_sample.cpp
@@ -81,14 +81,14 @@ bool evaluate_exec(const HostTensorPtr& output,
                    const HostTensorPtr& data,
                    const HostTensorPtr& grid,
                    const op::v9::GridSample::Attributes& attributes) {
-    ngraph::runtime::reference::grid_sample(output->get_data_ptr<DATA_ET>(),
-                                            data->get_data_ptr<DATA_ET>(),
-                                            grid->get_data_ptr<GRID_ET>(),
-                                            data->get_shape(),
-                                            grid->get_shape(),
-                                            attributes.align_corners,
-                                            attributes.mode,
-                                            attributes.padding_mode);
+    ov::reference::grid_sample(output->get_data_ptr<DATA_ET>(),
+                               data->get_data_ptr<DATA_ET>(),
+                               grid->get_data_ptr<GRID_ET>(),
+                               data->get_shape(),
+                               grid->get_shape(),
+                               attributes.align_corners,
+                               attributes.mode,
+                               attributes.padding_mode);
     return true;
 }
 
diff --git a/src/core/src/op/hsigmoid.cpp b/src/core/src/op/hsigmoid.cpp
index 353e73760b8..af129217739 100644
--- a/src/core/src/op/hsigmoid.cpp
+++ b/src/core/src/op/hsigmoid.cpp
@@ -35,7 +35,7 @@ template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
 
-    runtime::reference::hsigmoid<T>(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::hsigmoid<T>(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/hswish.cpp b/src/core/src/op/hswish.cpp
index 0cc38a36630..bd2791541c0 100644
--- a/src/core/src/op/hswish.cpp
+++ b/src/core/src/op/hswish.cpp
@@ -35,7 +35,7 @@ template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
 
-    runtime::reference::hswish<T>(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::hswish<T>(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/interpolate.cpp b/src/core/src/op/interpolate.cpp
index edc1329310b..dff8920c916 100644
--- a/src/core/src/op/interpolate.cpp
+++ b/src/core/src/op/interpolate.cpp
@@ -182,8 +182,8 @@ static void pad_input_data(const uint8_t* data_ptr,
                            const ov::Shape& padded_input_shape,
                            const std::vector<size_t>& pads_begin) {
     NGRAPH_SUPPRESS_DEPRECATED_START
-    ngraph::CoordinateTransform input_transform(input_shape);
-    ngraph::CoordinateTransform padded_transform(padded_input_shape);
+    ov::CoordinateTransform input_transform(input_shape);
+    ov::CoordinateTransform padded_transform(padded_input_shape);
 
     for (const ngraph::Coordinate& input_coord : input_transform) {
         auto padded_coord = input_coord;
@@ -234,49 +234,49 @@ bool ov::op::v4::Interpolate::evaluate_interpolate(TensorVector& outputs, const
 
     switch (input_et) {
     case element::Type_t::f32:
-        ngraph::runtime::reference::interpolate<float>(reinterpret_cast<float*>(padded_data_ptr),
-                                                       padded_input_shape,
-                                                       scales,
-                                                       *axes,
-                                                       outputs[0].data<float>(),
-                                                       out_shape,
-                                                       m_attrs);
+        ov::reference::interpolate<float>(reinterpret_cast<float*>(padded_data_ptr),
+                                          padded_input_shape,
+                                          scales,
+                                          *axes,
+                                          outputs[0].data<float>(),
+                                          out_shape,
+                                          m_attrs);
         break;
     case element::Type_t::f16:
-        ngraph::runtime::reference::interpolate<float16>(reinterpret_cast<float16*>(padded_data_ptr),
-                                                         padded_input_shape,
-                                                         scales,
-                                                         *axes,
-                                                         outputs[0].data<float16>(),
-                                                         out_shape,
-                                                         m_attrs);
+        ov::reference::interpolate<float16>(reinterpret_cast<float16*>(padded_data_ptr),
+                                            padded_input_shape,
+                                            scales,
+                                            *axes,
+                                            outputs[0].data<float16>(),
+                                            out_shape,
+                                            m_attrs);
         break;
     case element::Type_t::bf16:
-        ngraph::runtime::reference::interpolate<bfloat16>(reinterpret_cast<bfloat16*>(padded_data_ptr),
-                                                          padded_input_shape,
-                                                          scales,
-                                                          *axes,
-                                                          outputs[0].data<bfloat16>(),
-                                                          out_shape,
-                                                          m_attrs);
+        ov::reference::interpolate<bfloat16>(reinterpret_cast<bfloat16*>(padded_data_ptr),
+                                             padded_input_shape,
+                                             scales,
+                                             *axes,
+                                             outputs[0].data<bfloat16>(),
+                                             out_shape,
+                                             m_attrs);
         break;
     case element::Type_t::i8:
-        ngraph::runtime::reference::interpolate<int8_t>(reinterpret_cast<int8_t*>(padded_data_ptr),
-                                                        padded_input_shape,
-                                                        scales,
-                                                        *axes,
-                                                        outputs[0].data<int8_t>(),
-                                                        out_shape,
-                                                        m_attrs);
+        ov::reference::interpolate<int8_t>(reinterpret_cast<int8_t*>(padded_data_ptr),
+                                           padded_input_shape,
+                                           scales,
+                                           *axes,
+                                           outputs[0].data<int8_t>(),
+                                           out_shape,
+                                           m_attrs);
         break;
     case element::Type_t::u8:
-        ngraph::runtime::reference::interpolate<uint8_t>(reinterpret_cast<uint8_t*>(padded_data_ptr),
-                                                         padded_input_shape,
-                                                         scales,
-                                                         *axes,
-                                                         outputs[0].data<uint8_t>(),
-                                                         out_shape,
-                                                         m_attrs);
+        ov::reference::interpolate<uint8_t>(reinterpret_cast<uint8_t*>(padded_data_ptr),
+                                            padded_input_shape,
+                                            scales,
+                                            *axes,
+                                            outputs[0].data<uint8_t>(),
+                                            out_shape,
+                                            m_attrs);
         break;
     default:;
     }
diff --git a/src/core/src/op/less.cpp b/src/core/src/op/less.cpp
index 53a4833311b..9f4b15bf204 100644
--- a/src/core/src/op/less.cpp
+++ b/src/core/src/op/less.cpp
@@ -19,12 +19,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::less(arg0->get_data_ptr<ET>(),
-                             arg1->get_data_ptr<ET>(),
-                             out->get_data_ptr<element::Type_t::boolean>(),
-                             arg0->get_shape(),
-                             arg1->get_shape(),
-                             broadcast_spec);
+    ov::reference::less(arg0->get_data_ptr<ET>(),
+                        arg1->get_data_ptr<ET>(),
+                        out->get_data_ptr<element::Type_t::boolean>(),
+                        arg0->get_shape(),
+                        arg1->get_shape(),
+                        broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/less_eq.cpp b/src/core/src/op/less_eq.cpp
index 7125859cce9..61e90cc3c9a 100644
--- a/src/core/src/op/less_eq.cpp
+++ b/src/core/src/op/less_eq.cpp
@@ -34,12 +34,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::less_eq(arg0->get_data_ptr<ET>(),
-                                arg1->get_data_ptr<ET>(),
-                                out->get_data_ptr<element::Type_t::boolean>(),
-                                arg0->get_shape(),
-                                arg1->get_shape(),
-                                broadcast_spec);
+    ov::reference::less_eq(arg0->get_data_ptr<ET>(),
+                           arg1->get_data_ptr<ET>(),
+                           out->get_data_ptr<element::Type_t::boolean>(),
+                           arg0->get_shape(),
+                           arg1->get_shape(),
+                           broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/log.cpp b/src/core/src/op/log.cpp
index 77a1ce631a6..ec592957b83 100644
--- a/src/core/src/op/log.cpp
+++ b/src/core/src/op/log.cpp
@@ -33,7 +33,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::log<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::log<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/logical_and.cpp b/src/core/src/op/logical_and.cpp
index 79c0031d7b1..6b1c87eb4b5 100644
--- a/src/core/src/op/logical_and.cpp
+++ b/src/core/src/op/logical_and.cpp
@@ -38,12 +38,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::logical_and(arg0->get_data_ptr<ET>(),
-                                    arg1->get_data_ptr<ET>(),
-                                    out->get_data_ptr<ET>(),
-                                    arg0->get_shape(),
-                                    arg1->get_shape(),
-                                    broadcast_spec);
+    ov::reference::logical_and(arg0->get_data_ptr<ET>(),
+                               arg1->get_data_ptr<ET>(),
+                               out->get_data_ptr<ET>(),
+                               arg0->get_shape(),
+                               arg1->get_shape(),
+                               broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/logical_not.cpp b/src/core/src/op/logical_not.cpp
index 135a2e699c1..da08f6260a3 100644
--- a/src/core/src/op/logical_not.cpp
+++ b/src/core/src/op/logical_not.cpp
@@ -37,7 +37,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::logical_not<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::logical_not<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/logical_or.cpp b/src/core/src/op/logical_or.cpp
index d7acb24f00a..fd4e35c0c50 100644
--- a/src/core/src/op/logical_or.cpp
+++ b/src/core/src/op/logical_or.cpp
@@ -32,12 +32,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::logical_or(arg0->get_data_ptr<ET>(),
-                                   arg1->get_data_ptr<ET>(),
-                                   out->get_data_ptr<ET>(),
-                                   arg0->get_shape(),
-                                   arg1->get_shape(),
-                                   broadcast_spec);
+    ov::reference::logical_or(arg0->get_data_ptr<ET>(),
+                              arg1->get_data_ptr<ET>(),
+                              out->get_data_ptr<ET>(),
+                              arg0->get_shape(),
+                              arg1->get_shape(),
+                              broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/loop.cpp b/src/core/src/op/loop.cpp
index 5c43e7b3962..419e564b19f 100644
--- a/src/core/src/op/loop.cpp
+++ b/src/core/src/op/loop.cpp
@@ -350,12 +350,12 @@ Output<Node> op::v5::Loop::get_concatenated_slices(const Output<Node>& value,
 OPENVINO_SUPPRESS_DEPRECATED_START
 bool op::v5::Loop::evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const {
     OV_OP_SCOPE(v5_Loop_evaluate);
-    ngraph::runtime::reference::loop(m_bodies[0],
-                                     m_output_descriptions[0],
-                                     m_input_descriptions[0],
-                                     m_special_body_ports,
-                                     outputs,
-                                     inputs);
+    ov::reference::loop(m_bodies[0],
+                        m_output_descriptions[0],
+                        m_input_descriptions[0],
+                        m_special_body_ports,
+                        outputs,
+                        inputs);
     return true;
 }
 OPENVINO_SUPPRESS_DEPRECATED_END
diff --git a/src/core/src/op/matmul.cpp b/src/core/src/op/matmul.cpp
index bb5579f44cf..d3fd1a30e8e 100644
--- a/src/core/src/op/matmul.cpp
+++ b/src/core/src/op/matmul.cpp
@@ -51,14 +51,14 @@ bool evaluate(const op::MatMul* op, const HostTensorPtr& arg0, const HostTensorP
     output->set_element_type(arg0->get_element_type());
     output->set_shape(output_shape);
 
-    runtime::reference::matmul<T>(arg0->get_data_ptr<ET>(),
-                                  arg1->get_data_ptr<ET>(),
-                                  output->get_data_ptr<ET>(),
-                                  arg0_shape,
-                                  arg1_shape,
-                                  output_shape,
-                                  op->get_transpose_a(),
-                                  op->get_transpose_b());
+    ov::reference::matmul<T>(arg0->get_data_ptr<ET>(),
+                             arg1->get_data_ptr<ET>(),
+                             output->get_data_ptr<ET>(),
+                             arg0_shape,
+                             arg1_shape,
+                             output_shape,
+                             op->get_transpose_a(),
+                             op->get_transpose_b());
     return true;
 }
 
diff --git a/src/core/src/op/max_pool.cpp b/src/core/src/op/max_pool.cpp
index 7c017cab6f9..6a43995896f 100644
--- a/src/core/src/op/max_pool.cpp
+++ b/src/core/src/op/max_pool.cpp
@@ -72,14 +72,14 @@ inline bool evaluate(const HostTensorPtr& arg,
                      const ov::Shape& padding_above) {
     using T = typename element_type_traits<ET>::value_type;
     out->set_shape(out_shape);
-    runtime::reference::max_pool<T>(arg->get_data_ptr<ET>(),
-                                    out->get_data_ptr<ET>(),
-                                    arg->get_shape(),
-                                    out_shape,
-                                    window_shape,
-                                    window_movement_strides,
-                                    padding_below,
-                                    padding_above);
+    ov::reference::max_pool<T>(arg->get_data_ptr<ET>(),
+                               out->get_data_ptr<ET>(),
+                               arg->get_shape(),
+                               out_shape,
+                               window_shape,
+                               window_movement_strides,
+                               padding_below,
+                               padding_above);
     return true;
 }
 
@@ -161,17 +161,17 @@ inline bool evaluate(const HostTensorPtr& data,
                      const int64_t axis) {
     using Values_t = typename element_type_traits<Values>::value_type;
     using Indices_t = typename element_type_traits<Indices>::value_type;
-    runtime::reference::max_pool<Values_t, Indices_t>(data->get_data_ptr<Values_t>(),
-                                                      values->get_data_ptr<Values_t>(),
-                                                      indices->get_data_ptr<Indices_t>(),
-                                                      data->get_shape(),
-                                                      out_shape,
-                                                      kernel,
-                                                      strides,
-                                                      dilations,
-                                                      pads_begin,
-                                                      pads_end,
-                                                      axis);
+    ov::reference::max_pool<Values_t, Indices_t>(data->get_data_ptr<Values_t>(),
+                                                 values->get_data_ptr<Values_t>(),
+                                                 indices->get_data_ptr<Indices_t>(),
+                                                 data->get_shape(),
+                                                 out_shape,
+                                                 kernel,
+                                                 strides,
+                                                 dilations,
+                                                 pads_begin,
+                                                 pads_end,
+                                                 axis);
     return true;
 }
 
diff --git a/src/core/src/op/maximum.cpp b/src/core/src/op/maximum.cpp
index f1b7a98862f..55f6b83e265 100644
--- a/src/core/src/op/maximum.cpp
+++ b/src/core/src/op/maximum.cpp
@@ -27,12 +27,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::maximum(arg0->get_data_ptr<ET>(),
-                                arg1->get_data_ptr<ET>(),
-                                out->get_data_ptr<ET>(),
-                                arg0->get_shape(),
-                                arg1->get_shape(),
-                                broadcast_spec);
+    ov::reference::maximum(arg0->get_data_ptr<ET>(),
+                           arg1->get_data_ptr<ET>(),
+                           out->get_data_ptr<ET>(),
+                           arg0->get_shape(),
+                           arg1->get_shape(),
+                           broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/minimum.cpp b/src/core/src/op/minimum.cpp
index 0a26b2ff9b7..26725b8a059 100644
--- a/src/core/src/op/minimum.cpp
+++ b/src/core/src/op/minimum.cpp
@@ -25,12 +25,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::minimum(arg0->get_data_ptr<ET>(),
-                                arg1->get_data_ptr<ET>(),
-                                out->get_data_ptr<ET>(),
-                                arg0->get_shape(),
-                                arg1->get_shape(),
-                                broadcast_spec);
+    ov::reference::minimum(arg0->get_data_ptr<ET>(),
+                           arg1->get_data_ptr<ET>(),
+                           out->get_data_ptr<ET>(),
+                           arg0->get_shape(),
+                           arg1->get_shape(),
+                           broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/mish.cpp b/src/core/src/op/mish.cpp
index f118d1183b8..fc39df6e999 100644
--- a/src/core/src/op/mish.cpp
+++ b/src/core/src/op/mish.cpp
@@ -49,7 +49,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::mish<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::mish<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/mod.cpp b/src/core/src/op/mod.cpp
index baf5a8c7dde..8e605815b88 100644
--- a/src/core/src/op/mod.cpp
+++ b/src/core/src/op/mod.cpp
@@ -30,12 +30,12 @@ bool evaluate(const ov::Tensor& arg0,
               const ov::Tensor& arg1,
               const ov::Tensor& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::mod(arg0.data<T>(),
-                            arg1.data<T>(),
-                            out.data<T>(),
-                            arg0.get_shape(),
-                            arg1.get_shape(),
-                            broadcast_spec);
+    ov::reference::mod(arg0.data<T>(),
+                       arg1.data<T>(),
+                       out.data<T>(),
+                       arg0.get_shape(),
+                       arg1.get_shape(),
+                       broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/multiply.cpp b/src/core/src/op/multiply.cpp
index b0808006a01..23f21549c72 100644
--- a/src/core/src/op/multiply.cpp
+++ b/src/core/src/op/multiply.cpp
@@ -19,12 +19,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::multiply(arg0->get_data_ptr<ET>(),
-                                 arg1->get_data_ptr<ET>(),
-                                 out->get_data_ptr<ET>(),
-                                 arg0->get_shape(),
-                                 arg1->get_shape(),
-                                 broadcast_spec);
+    ov::reference::multiply(arg0->get_data_ptr<ET>(),
+                            arg1->get_data_ptr<ET>(),
+                            out->get_data_ptr<ET>(),
+                            arg0->get_shape(),
+                            arg1->get_shape(),
+                            broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/mvn.cpp b/src/core/src/op/mvn.cpp
index ea4ce675e33..bf7a0afc71c 100644
--- a/src/core/src/op/mvn.cpp
+++ b/src/core/src/op/mvn.cpp
@@ -141,19 +141,19 @@ bool evaluate(ov::TensorVector& outputs,
     AxisSet reduction_axes;
     auto rank = inputs[0].get_shape().size();
     if (inputs[1].get_element_type() == element::i64) {
-        reduction_axes = runtime::reference::mvn_6_reduction_axes<int64_t>(inputs[1], rank);
+        reduction_axes = ov::reference::mvn_6_reduction_axes<int64_t>(inputs[1], rank);
     } else if (inputs[1].get_element_type() == element::i32) {
-        reduction_axes = runtime::reference::mvn_6_reduction_axes<int32_t>(inputs[1], rank);
+        reduction_axes = ov::reference::mvn_6_reduction_axes<int32_t>(inputs[1], rank);
     } else {
         OPENVINO_THROW("Unexpected indices type");
     }
-    runtime::reference::mvn_6<T>(inputs[0].data<T>(),
-                                 outputs[0].data<T>(),
-                                 inputs[0].get_shape(),
-                                 reduction_axes,
-                                 normalize_variance,
-                                 eps,
-                                 eps_mode);
+    ov::reference::mvn_6<T>(inputs[0].data<T>(),
+                            outputs[0].data<T>(),
+                            inputs[0].get_shape(),
+                            reduction_axes,
+                            normalize_variance,
+                            eps,
+                            eps_mode);
     return true;
 }
 
diff --git a/src/core/src/op/negative.cpp b/src/core/src/op/negative.cpp
index 298f28b0cee..3feadeb1c75 100644
--- a/src/core/src/op/negative.cpp
+++ b/src/core/src/op/negative.cpp
@@ -33,7 +33,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::negate<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::negate<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/non_zero.cpp b/src/core/src/op/non_zero.cpp
index c5640f620cf..b24ce5c77b3 100644
--- a/src/core/src/op/non_zero.cpp
+++ b/src/core/src/op/non_zero.cpp
@@ -91,7 +91,7 @@ bool evaluate_nonzero_execute(const HostTensorPtr& input, const HostTensorPtr& o
     ov::Shape input_shape = input->get_shape();
     size_t input_rank = input_shape.size();
 
-    size_t non_zero_count = runtime::reference::non_zero_get_count<IN_T>(input->get_data_ptr<INPUT_ET>(), input_shape);
+    size_t non_zero_count = ov::reference::non_zero_get_count<IN_T>(input->get_data_ptr<INPUT_ET>(), input_shape);
 
     ov::Shape out_shape;
     if (input_rank == 0 && non_zero_count > 0) {
@@ -101,9 +101,7 @@ bool evaluate_nonzero_execute(const HostTensorPtr& input, const HostTensorPtr& o
     }
 
     output->set_shape(out_shape);
-    runtime::reference::non_zero<IN_T, OUT_T>(input->get_data_ptr<INPUT_ET>(),
-                                              output->get_data_ptr<OUT_ET>(),
-                                              input_shape);
+    ov::reference::non_zero<IN_T, OUT_T>(input->get_data_ptr<INPUT_ET>(), output->get_data_ptr<OUT_ET>(), input_shape);
 
     return true;
 }
diff --git a/src/core/src/op/not_equal.cpp b/src/core/src/op/not_equal.cpp
index 8d20ea862b6..89018aec9bc 100644
--- a/src/core/src/op/not_equal.cpp
+++ b/src/core/src/op/not_equal.cpp
@@ -20,12 +20,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::not_equal(arg0->get_data_ptr<ET>(),
-                                  arg1->get_data_ptr<ET>(),
-                                  out->get_data_ptr<element::Type_t::boolean>(),
-                                  arg0->get_shape(),
-                                  arg1->get_shape(),
-                                  broadcast_spec);
+    ov::reference::not_equal(arg0->get_data_ptr<ET>(),
+                             arg1->get_data_ptr<ET>(),
+                             out->get_data_ptr<element::Type_t::boolean>(),
+                             arg0->get_shape(),
+                             arg1->get_shape(),
+                             broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/one_hot.cpp b/src/core/src/op/one_hot.cpp
index 168b66472a1..963b4980f02 100644
--- a/src/core/src/op/one_hot.cpp
+++ b/src/core/src/op/one_hot.cpp
@@ -80,14 +80,14 @@ bool evaluate(const HostTensorVector& output_values, const HostTensorVector& inp
     const auto& on_value = input_values[2];
     const auto& off_value = input_values[3];
     const auto& out = output_values[0];
-    runtime::reference::one_hot<INPUT_TYPE>(indices->get_data_ptr<INPUT_TYPE>(),
-                                            indices->get_shape(),
-                                            out->get_data_ptr<char>(),
-                                            out->get_element_type().size(),
-                                            out->get_shape()[axis],
-                                            axis,
-                                            on_value->get_data_ptr<char>(),
-                                            off_value->get_data_ptr<char>());
+    ov::reference::one_hot<INPUT_TYPE>(indices->get_data_ptr<INPUT_TYPE>(),
+                                       indices->get_shape(),
+                                       out->get_data_ptr<char>(),
+                                       out->get_element_type().size(),
+                                       out->get_shape()[axis],
+                                       axis,
+                                       on_value->get_data_ptr<char>(),
+                                       off_value->get_data_ptr<char>());
     return true;
 }
 bool evaluate_onehot(const HostTensorVector& output_values, const HostTensorVector& input_values, const int64_t axis) {
diff --git a/src/core/src/op/power.cpp b/src/core/src/op/power.cpp
index 67421178978..6c6f41c78ce 100644
--- a/src/core/src/op/power.cpp
+++ b/src/core/src/op/power.cpp
@@ -9,7 +9,7 @@
 #include "ngraph/op/log.hpp"
 #include "ngraph/op/multiply.hpp"
 #include "ngraph/runtime/host_tensor.hpp"
-#include "ngraph/runtime/reference/power.hpp"
+#include "openvino/reference/power.hpp"
 
 using namespace std;
 using namespace ngraph;
@@ -22,12 +22,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::power(arg0->get_data_ptr<ET>(),
-                              arg1->get_data_ptr<ET>(),
-                              out->get_data_ptr<ET>(),
-                              arg0->get_shape(),
-                              arg1->get_shape(),
-                              broadcast_spec);
+    ov::reference::power(arg0->get_data_ptr<ET>(),
+                         arg1->get_data_ptr<ET>(),
+                         out->get_data_ptr<ET>(),
+                         arg0->get_shape(),
+                         arg1->get_shape(),
+                         broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/prelu.cpp b/src/core/src/op/prelu.cpp
index b8f6174f7b3..2bc9380e6d4 100644
--- a/src/core/src/op/prelu.cpp
+++ b/src/core/src/op/prelu.cpp
@@ -37,11 +37,11 @@ namespace prelu {
 namespace {
 template <ov::element::Type_t ET>
 bool evaluate(const ngraph::HostTensorPtr& arg, const ngraph::HostTensorPtr& slope, const ngraph::HostTensorPtr& out) {
-    ngraph::runtime::reference::prelu(arg->get_data_ptr<ET>(),
-                                      slope->get_data_ptr<ET>(),
-                                      out->get_data_ptr<ET>(),
-                                      arg->get_shape(),
-                                      slope->get_shape());
+    ov::reference::prelu(arg->get_data_ptr<ET>(),
+                         slope->get_data_ptr<ET>(),
+                         out->get_data_ptr<ET>(),
+                         arg->get_shape(),
+                         slope->get_shape());
     return true;
 }
 
diff --git a/src/core/src/op/prior_box.cpp b/src/core/src/op/prior_box.cpp
index a0f29483bfe..e66e3ea30bf 100644
--- a/src/core/src/op/prior_box.cpp
+++ b/src/core/src/op/prior_box.cpp
@@ -34,7 +34,7 @@ bool evaluate(const Tensor& arg0, const Tensor& arg1, Tensor& out, const op::v0:
     attrs_v8.scale_all_sizes = attrs.scale_all_sizes;
 
     using T = typename element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::prior_box(arg0.data<T>(), arg1.data<T>(), out.data<float>(), out.get_shape(), attrs_v8);
+    ov::reference::prior_box(arg0.data<T>(), arg1.data<T>(), out.data<float>(), out.get_shape(), attrs_v8);
     return true;
 }
 
@@ -176,7 +176,7 @@ namespace {
 template <element::Type_t ET>
 bool evaluate(const Tensor& arg0, const Tensor& arg1, Tensor& out, const op::v8::PriorBox::Attributes& attrs) {
     using T = typename element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::prior_box(arg0.data<T>(), arg1.data<T>(), out.data<float>(), out.get_shape(), attrs);
+    ov::reference::prior_box(arg0.data<T>(), arg1.data<T>(), out.data<float>(), out.get_shape(), attrs);
     return true;
 }
 
diff --git a/src/core/src/op/prior_box_clustered.cpp b/src/core/src/op/prior_box_clustered.cpp
index 85f8ae916f7..5dc0521b48c 100644
--- a/src/core/src/op/prior_box_clustered.cpp
+++ b/src/core/src/op/prior_box_clustered.cpp
@@ -62,11 +62,7 @@ namespace {
 template <element::Type_t ET>
 bool evaluate(const Tensor& arg0, const Tensor& arg1, Tensor& out, op::v0::PriorBoxClustered::Attributes attrs) {
     using T = fundamental_type_for<ET>;
-    ngraph::runtime::reference::prior_box_clustered(arg0.data<T>(),
-                                                    arg1.data<T>(),
-                                                    out.data<float>(),
-                                                    out.get_shape(),
-                                                    attrs);
+    ov::reference::prior_box_clustered(arg0.data<T>(), arg1.data<T>(), out.data<float>(), out.get_shape(), attrs);
     return true;
 }
 
diff --git a/src/core/src/op/random_uniform.cpp b/src/core/src/op/random_uniform.cpp
index ab99624471c..c22c18ae030 100644
--- a/src/core/src/op/random_uniform.cpp
+++ b/src/core/src/op/random_uniform.cpp
@@ -92,15 +92,15 @@ bool RandomUniform::evaluate(TensorVector& outputs, const TensorVector& inputs)
     const auto& t_out = get_out_type();
     OPENVINO_ASSERT(validate::out_et(t_out), "Unsupported type of RandomUniform: " + t_out.get_type_name());
 
-    auto state = ngraph::runtime::reference::random_uniform(out_dims.data(),
-                                                            static_cast<const char*>(inputs[1].data()),
-                                                            static_cast<const char*>(inputs[2].data()),
-                                                            static_cast<char*>(outputs[0].data()),
-                                                            inputs[0].get_shape(),
-                                                            get_out_type(),
-                                                            get_global_seed(),
-                                                            get_op_seed(),
-                                                            m_state);
+    auto state = ov::reference::random_uniform(out_dims.data(),
+                                               static_cast<const char*>(inputs[1].data()),
+                                               static_cast<const char*>(inputs[2].data()),
+                                               static_cast<char*>(outputs[0].data()),
+                                               inputs[0].get_shape(),
+                                               get_out_type(),
+                                               get_global_seed(),
+                                               get_op_seed(),
+                                               m_state);
 
     // Update RandomUniform state
     std::lock_guard<std::mutex> guard(m_state_mutex);
diff --git a/src/core/src/op/range.cpp b/src/core/src/op/range.cpp
index 2778ca08f32..557a8882264 100644
--- a/src/core/src/op/range.cpp
+++ b/src/core/src/op/range.cpp
@@ -170,7 +170,7 @@ bool evaluate(const HostTensorPtr& out,
     }
     ov::Shape out_shape = ov::Shape({static_cast<size_t>(out_size)});
     out->set_shape(out_shape);
-    runtime::reference::range(&start_val, &step_val, shape_size(out_shape), out->get_data_ptr<ET>());
+    ov::reference::range(&start_val, &step_val, shape_size(out_shape), out->get_data_ptr<ET>());
     return true;
 }
 
diff --git a/src/core/src/op/reduce_l1.cpp b/src/core/src/op/reduce_l1.cpp
index bafd258eaf7..213875d00c1 100644
--- a/src/core/src/op/reduce_l1.cpp
+++ b/src/core/src/op/reduce_l1.cpp
@@ -35,7 +35,7 @@ bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet&
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(arg->get_shape(), axes, keep_dims));
     OPENVINO_SUPPRESS_DEPRECATED_END
-    runtime::reference::reduce_l1(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
+    ov::reference::reduce_l1(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
     return true;
 }
 
diff --git a/src/core/src/op/reduce_l2.cpp b/src/core/src/op/reduce_l2.cpp
index ae840ba7127..fe0d066af86 100644
--- a/src/core/src/op/reduce_l2.cpp
+++ b/src/core/src/op/reduce_l2.cpp
@@ -35,7 +35,7 @@ bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet&
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(arg->get_shape(), axes, keep_dims));
     OPENVINO_SUPPRESS_DEPRECATED_END
-    runtime::reference::reduce_l2(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
+    ov::reference::reduce_l2(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
     return true;
 }
 
diff --git a/src/core/src/op/reduce_logical_and.cpp b/src/core/src/op/reduce_logical_and.cpp
index 9d8941fcc55..59a33cb8716 100644
--- a/src/core/src/op/reduce_logical_and.cpp
+++ b/src/core/src/op/reduce_logical_and.cpp
@@ -39,10 +39,10 @@ bool evaluate_reduce_logical_and(const HostTensorPtr& data,
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(data->get_shape(), reduction_axes, keep_dims));
     try {
-        runtime::reference::reduce_logical_and(data->get_data_ptr<char>(),
-                                               out->get_data_ptr<char>(),
-                                               data->get_shape(),
-                                               reduction_axes);
+        ov::reference::reduce_logical_and(data->get_data_ptr<char>(),
+                                          out->get_data_ptr<char>(),
+                                          data->get_shape(),
+                                          reduction_axes);
         return true;
     } catch (const ngraph_error& e) {
         OPENVINO_WARN << e.what();
diff --git a/src/core/src/op/reduce_logical_or.cpp b/src/core/src/op/reduce_logical_or.cpp
index 9b73f7a8b57..a167d44a884 100644
--- a/src/core/src/op/reduce_logical_or.cpp
+++ b/src/core/src/op/reduce_logical_or.cpp
@@ -39,10 +39,10 @@ bool evaluate_reduce_logical_or(const HostTensorPtr& data,
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(data->get_shape(), reduction_axes, keep_dims));
     try {
-        runtime::reference::reduce_logical_or(data->get_data_ptr<char>(),
-                                              out->get_data_ptr<char>(),
-                                              data->get_shape(),
-                                              reduction_axes);
+        ov::reference::reduce_logical_or(data->get_data_ptr<char>(),
+                                         out->get_data_ptr<char>(),
+                                         data->get_shape(),
+                                         reduction_axes);
         return true;
     } catch (const ngraph_error& e) {
         OPENVINO_WARN << e.what();
diff --git a/src/core/src/op/reduce_max.cpp b/src/core/src/op/reduce_max.cpp
index 33ce0b170fb..e7e33b5221c 100644
--- a/src/core/src/op/reduce_max.cpp
+++ b/src/core/src/op/reduce_max.cpp
@@ -24,7 +24,7 @@ bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet&
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(arg->get_shape(), axes, keep_dims));
     OPENVINO_SUPPRESS_DEPRECATED_END
-    runtime::reference::max(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
+    ov::reference::max(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
     return true;
 }
 
diff --git a/src/core/src/op/reduce_mean.cpp b/src/core/src/op/reduce_mean.cpp
index 931c98cf7fa..734efc4d814 100644
--- a/src/core/src/op/reduce_mean.cpp
+++ b/src/core/src/op/reduce_mean.cpp
@@ -36,7 +36,7 @@ bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet&
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(arg->get_shape(), axes, keep_dims));
     OPENVINO_SUPPRESS_DEPRECATED_END
-    runtime::reference::mean(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
+    ov::reference::mean(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
     return true;
 }
 
diff --git a/src/core/src/op/reduce_min.cpp b/src/core/src/op/reduce_min.cpp
index 8b6c1f25997..f77e5236b51 100644
--- a/src/core/src/op/reduce_min.cpp
+++ b/src/core/src/op/reduce_min.cpp
@@ -23,7 +23,7 @@ bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet&
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(arg->get_shape(), axes, keep_dims));
     OPENVINO_SUPPRESS_DEPRECATED_END
-    runtime::reference::min(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
+    ov::reference::min(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
     return true;
 }
 
diff --git a/src/core/src/op/reduce_prod.cpp b/src/core/src/op/reduce_prod.cpp
index 217345c2426..14747e9b5d6 100644
--- a/src/core/src/op/reduce_prod.cpp
+++ b/src/core/src/op/reduce_prod.cpp
@@ -34,7 +34,7 @@ bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet&
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(arg->get_shape(), axes, keep_dims));
     OPENVINO_SUPPRESS_DEPRECATED_END
-    runtime::reference::product(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
+    ov::reference::product(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
     return true;
 }
 
diff --git a/src/core/src/op/reduce_sum.cpp b/src/core/src/op/reduce_sum.cpp
index 85d4cfe99d2..47da7ee137b 100644
--- a/src/core/src/op/reduce_sum.cpp
+++ b/src/core/src/op/reduce_sum.cpp
@@ -37,7 +37,7 @@ bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet&
     OPENVINO_SUPPRESS_DEPRECATED_START
     out->set_shape(reduce(arg->get_shape(), axes, keep_dims));
     OPENVINO_SUPPRESS_DEPRECATED_END
-    runtime::reference::sum(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
+    ov::reference::sum(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
     return true;
 }
 
diff --git a/src/core/src/op/relu.cpp b/src/core/src/op/relu.cpp
index 5fe56b430ad..cbaa57030ba 100644
--- a/src/core/src/op/relu.cpp
+++ b/src/core/src/op/relu.cpp
@@ -30,7 +30,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::relu<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::relu<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/reverse.cpp b/src/core/src/op/reverse.cpp
index 5f6f4e2010f..4caaa2fb01f 100644
--- a/src/core/src/op/reverse.cpp
+++ b/src/core/src/op/reverse.cpp
@@ -110,12 +110,12 @@ bool op::v1::Reverse::evaluate_reverse(const HostTensorVector& outputs, const Ho
             }
         }
     }
-    ngraph::runtime::reference::reverse(inputs[0]->get_data_ptr<const char>(),
-                                        outputs[0]->get_data_ptr<char>(),
-                                        inputs[0]->get_shape(),
-                                        outputs[0]->get_shape(),
-                                        axes,
-                                        inputs[0]->get_element_type().size());
+    ov::reference::reverse(inputs[0]->get_data_ptr<const char>(),
+                           outputs[0]->get_data_ptr<char>(),
+                           inputs[0]->get_shape(),
+                           outputs[0]->get_shape(),
+                           axes,
+                           inputs[0]->get_element_type().size());
     return true;
 }
 
diff --git a/src/core/src/op/roi_align.cpp b/src/core/src/op/roi_align.cpp
index 354ef48304c..c57d1d13dd3 100644
--- a/src/core/src/op/roi_align.cpp
+++ b/src/core/src/op/roi_align.cpp
@@ -228,20 +228,20 @@ bool evaluate(const Tensor& feature_maps,
               const Shape& batch_indices_shape,
               const v9::ROIAlign::AlignedMode& aligned_mode = v9::ROIAlign::AlignedMode::ASYMMETRIC) {
     using T = typename element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::roi_align<T>(feature_maps.data<T>(),
-                                             rois.data<T>(),
-                                             batch_indices_vec_scaled_up.data(),
-                                             out.data<T>(),
-                                             feature_maps.get_shape(),
-                                             rois.get_shape(),
-                                             batch_indices_shape,
-                                             out.get_shape(),
-                                             pooled_height,
-                                             pooled_width,
-                                             sampling_ratio,
-                                             spatial_scale,
-                                             pooling_mode,
-                                             aligned_mode);
+    ov::reference::roi_align<T>(feature_maps.data<T>(),
+                                rois.data<T>(),
+                                batch_indices_vec_scaled_up.data(),
+                                out.data<T>(),
+                                feature_maps.get_shape(),
+                                rois.get_shape(),
+                                batch_indices_shape,
+                                out.get_shape(),
+                                pooled_height,
+                                pooled_width,
+                                sampling_ratio,
+                                spatial_scale,
+                                pooling_mode,
+                                aligned_mode);
     return true;
 }
 
diff --git a/src/core/src/op/scatter_elements_update.cpp b/src/core/src/op/scatter_elements_update.cpp
index b0762304ea9..8fc46e66c17 100644
--- a/src/core/src/op/scatter_elements_update.cpp
+++ b/src/core/src/op/scatter_elements_update.cpp
@@ -108,15 +108,15 @@ bool evaluate(const HostTensorPtr& data,
 
     out->set_shape(data->get_shape());
 
-    ngraph::runtime::reference::scatter_elem_update<DataType, IndicesType>(data->get_data_ptr<DT>(),
-                                                                           indices->get_data_ptr<IT>(),
-                                                                           updates->get_data_ptr<DT>(),
-                                                                           normalized_axis,
-                                                                           out->get_data_ptr<DT>(),
-                                                                           data->get_shape(),
-                                                                           indices->get_shape(),
-                                                                           reduction_type,
-                                                                           use_init_value);
+    ov::reference::scatter_elem_update<DataType, IndicesType>(data->get_data_ptr<DT>(),
+                                                              indices->get_data_ptr<IT>(),
+                                                              updates->get_data_ptr<DT>(),
+                                                              normalized_axis,
+                                                              out->get_data_ptr<DT>(),
+                                                              data->get_shape(),
+                                                              indices->get_shape(),
+                                                              reduction_type,
+                                                              use_init_value);
 
     return true;
 }
diff --git a/src/core/src/op/scatter_nd_update.cpp b/src/core/src/op/scatter_nd_update.cpp
index b2be449ba61..2d49046ea11 100644
--- a/src/core/src/op/scatter_nd_update.cpp
+++ b/src/core/src/op/scatter_nd_update.cpp
@@ -33,21 +33,21 @@ bool evaluate(const HostTensorPtr& arg0,
     out->set_shape(arg0->get_shape());
 
     if (arg1->get_element_type() == element::i64) {
-        runtime::reference::scatterNdUpdate<T, int64_t>(arg0->get_data_ptr<ET>(),
-                                                        arg1->get_data_ptr<int64_t>(),
-                                                        arg2->get_data_ptr<ET>(),
-                                                        out->get_data_ptr<ET>(),
-                                                        arg0->get_shape(),
-                                                        arg1->get_shape(),
-                                                        arg2->get_shape());
+        ov::reference::scatterNdUpdate<T, int64_t>(arg0->get_data_ptr<ET>(),
+                                                   arg1->get_data_ptr<int64_t>(),
+                                                   arg2->get_data_ptr<ET>(),
+                                                   out->get_data_ptr<ET>(),
+                                                   arg0->get_shape(),
+                                                   arg1->get_shape(),
+                                                   arg2->get_shape());
     } else if (arg1->get_element_type() == element::i32) {
-        runtime::reference::scatterNdUpdate<T, int32_t>(arg0->get_data_ptr<ET>(),
-                                                        arg1->get_data_ptr<int32_t>(),
-                                                        arg2->get_data_ptr<ET>(),
-                                                        out->get_data_ptr<ET>(),
-                                                        arg0->get_shape(),
-                                                        arg1->get_shape(),
-                                                        arg2->get_shape());
+        ov::reference::scatterNdUpdate<T, int32_t>(arg0->get_data_ptr<ET>(),
+                                                   arg1->get_data_ptr<int32_t>(),
+                                                   arg2->get_data_ptr<ET>(),
+                                                   out->get_data_ptr<ET>(),
+                                                   arg0->get_shape(),
+                                                   arg1->get_shape(),
+                                                   arg2->get_shape());
     } else {
         OPENVINO_THROW("Unexpected type ",
                        arg1->get_element_type().c_type_string(),
diff --git a/src/core/src/op/scatter_update.cpp b/src/core/src/op/scatter_update.cpp
index aa44aab800a..32c15992c8b 100644
--- a/src/core/src/op/scatter_update.cpp
+++ b/src/core/src/op/scatter_update.cpp
@@ -78,15 +78,15 @@ bool op::v3::ScatterUpdate::evaluate_scatter_update(const HostTensorVector& outp
         return false;
     }
 
-    ngraph::runtime::reference::scatter_update(data->get_data_ptr<char>(),
-                                               indices_casted_vector.data(),
-                                               updates->get_data_ptr<char>(),
-                                               axis_val,
-                                               out->get_data_ptr<char>(),
-                                               elem_size,
-                                               data->get_shape(),
-                                               indices->get_shape(),
-                                               updates->get_shape());
+    ov::reference::scatter_update(data->get_data_ptr<char>(),
+                                  indices_casted_vector.data(),
+                                  updates->get_data_ptr<char>(),
+                                  axis_val,
+                                  out->get_data_ptr<char>(),
+                                  elem_size,
+                                  data->get_shape(),
+                                  indices->get_shape(),
+                                  updates->get_shape());
 
     return true;
 }
diff --git a/src/core/src/op/select.cpp b/src/core/src/op/select.cpp
index 4b2b05858e5..7a4668179bf 100644
--- a/src/core/src/op/select.cpp
+++ b/src/core/src/op/select.cpp
@@ -74,14 +74,14 @@ bool evaluate(const HostTensorVector& output_values,
 
     const auto& out = output_values[0];
 
-    runtime::reference::select<T>(in_cond->get_data_ptr<char>(),
-                                  in_then->get_data_ptr<T>(),
-                                  in_else->get_data_ptr<T>(),
-                                  out->get_data_ptr<T>(),
-                                  in_cond->get_shape(),
-                                  in_then->get_shape(),
-                                  in_else->get_shape(),
-                                  autob);
+    ov::reference::select<T>(in_cond->get_data_ptr<char>(),
+                             in_then->get_data_ptr<T>(),
+                             in_else->get_data_ptr<T>(),
+                             out->get_data_ptr<T>(),
+                             in_cond->get_shape(),
+                             in_then->get_shape(),
+                             in_else->get_shape(),
+                             autob);
     return true;
 }
 
diff --git a/src/core/src/op/shape_of.cpp b/src/core/src/op/shape_of.cpp
index b325e724d34..673b6aa1abf 100644
--- a/src/core/src/op/shape_of.cpp
+++ b/src/core/src/op/shape_of.cpp
@@ -55,13 +55,13 @@ namespace shape_of {
 namespace {
 template <element::Type_t ET>
 inline bool evaluate(const ov::Shape& shape, const HostTensorPtr& output_value) {
-    runtime::reference::shape_of(shape, output_value->get_data_ptr<ET>());
+    ov::reference::shape_of(shape, output_value->get_data_ptr<ET>());
     return true;
 }
 
 template <element::Type_t ET>
 inline bool evaluate(const ov::Shape& shape, ov::Tensor& output_value) {
-    runtime::reference::shape_of(shape, output_value.data<fundamental_type_for<ET>>());
+    ov::reference::shape_of(shape, output_value.data<fundamental_type_for<ET>>());
     return true;
 }
 
diff --git a/src/core/src/op/shuffle_channels.cpp b/src/core/src/op/shuffle_channels.cpp
index e2f694e4e6c..30de73691bb 100644
--- a/src/core/src/op/shuffle_channels.cpp
+++ b/src/core/src/op/shuffle_channels.cpp
@@ -71,7 +71,7 @@ bool op::ShuffleChannels::evaluate_shuffle_channels(const HostTensorVector& outp
     outputs[0]->set_element_type(inputs[0]->get_element_type());
     outputs[0]->set_shape(data_shape);
 
-    ngraph::runtime::reference::shuffle_channels(arg, out, data_shape, elem_size, m_axis, m_group);
+    ov::reference::shuffle_channels(arg, out, data_shape, elem_size, m_axis, m_group);
 
     return true;
 }
diff --git a/src/core/src/op/sigmoid.cpp b/src/core/src/op/sigmoid.cpp
index 56d5ffdf7c1..4eb8b4e02d6 100644
--- a/src/core/src/op/sigmoid.cpp
+++ b/src/core/src/op/sigmoid.cpp
@@ -31,7 +31,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::sigmoid<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::sigmoid<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/sign.cpp b/src/core/src/op/sign.cpp
index 18ed0b856d7..a9e9d51b946 100644
--- a/src/core/src/op/sign.cpp
+++ b/src/core/src/op/sign.cpp
@@ -33,7 +33,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::sign<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::sign<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/slice.cpp b/src/core/src/op/slice.cpp
index ca87c73a705..f08a885bea2 100644
--- a/src/core/src/op/slice.cpp
+++ b/src/core/src/op/slice.cpp
@@ -181,14 +181,14 @@ bool op::v8::Slice::evaluate(const HostTensorVector& outputs, const HostTensorVe
     outputs[0]->set_shape(output_shapes.front().to_shape());
     outputs[0]->set_element_type(inputs[0]->get_element_type());
 
-    ngraph::runtime::reference::slice(inputs[0]->get_data_ptr<char>(),
-                                      inputs[0]->get_shape(),
-                                      outputs[0]->get_data_ptr<char>(),
-                                      outputs[0]->get_shape(),
-                                      inputs[0]->get_element_type().size(),
-                                      starts,
-                                      steps,
-                                      axes);
+    ov::reference::slice(inputs[0]->get_data_ptr<char>(),
+                         inputs[0]->get_shape(),
+                         outputs[0]->get_data_ptr<char>(),
+                         outputs[0]->get_shape(),
+                         inputs[0]->get_element_type().size(),
+                         starts,
+                         steps,
+                         axes);
     return true;
 }
 OPENVINO_SUPPRESS_DEPRECATED_END
diff --git a/src/core/src/op/softmax.cpp b/src/core/src/op/softmax.cpp
index 8bdb1954abd..975a83dd932 100644
--- a/src/core/src/op/softmax.cpp
+++ b/src/core/src/op/softmax.cpp
@@ -10,7 +10,7 @@
 #include "itt.hpp"
 #include "ngraph/attribute_visitor.hpp"
 #include "ngraph/op/util/op_types.hpp"
-#include "ngraph/runtime/reference/softmax.hpp"
+#include "openvino/reference/softmax.hpp"
 
 using namespace std;
 using namespace ngraph;
@@ -19,7 +19,7 @@ OPENVINO_SUPPRESS_DEPRECATED_START
 namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const ov::Shape& shape, const AxisSet& axes) {
-    runtime::reference::softmax(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), shape, axes);
+    ov::reference::softmax(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), shape, axes);
     return true;
 }
 
diff --git a/src/core/src/op/softplus.cpp b/src/core/src/op/softplus.cpp
index 811ea65006f..ee59d23623b 100644
--- a/src/core/src/op/softplus.cpp
+++ b/src/core/src/op/softplus.cpp
@@ -48,7 +48,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::softplus<T>(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::softplus<T>(arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/softsign.cpp b/src/core/src/op/softsign.cpp
index d30456f37fd..98e63984a8f 100644
--- a/src/core/src/op/softsign.cpp
+++ b/src/core/src/op/softsign.cpp
@@ -15,7 +15,7 @@ namespace {
 template <ov::element::Type_t ET>
 inline bool evaluate(const ov::Tensor& arg, const ov::Tensor& out, const size_t count) {
     using T = typename ov::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::softsign<T>(arg.data<T>(), out.data<T>(), count);
+    ov::reference::softsign<T>(arg.data<T>(), out.data<T>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/space_to_batch.cpp b/src/core/src/op/space_to_batch.cpp
index 4f383a28411..634a0163f08 100644
--- a/src/core/src/op/space_to_batch.cpp
+++ b/src/core/src/op/space_to_batch.cpp
@@ -128,15 +128,15 @@ bool ngraph::op::v1::SpaceToBatch::evaluate_space_to_batch(const HostTensorVecto
     }
 
     std::vector<char> padded_data(shape_size(padded_shape) * elem_size);
-    ngraph::runtime::reference::pad(data->get_data_ptr<char>(),
-                                    pad_value,
-                                    padded_data.data(),
-                                    elem_size,
-                                    data_shape,
-                                    padded_shape,
-                                    pads_begin_vec,
-                                    pads_end_vec,
-                                    ngraph::op::PadMode::CONSTANT);
+    ov::reference::pad(data->get_data_ptr<char>(),
+                       pad_value,
+                       padded_data.data(),
+                       elem_size,
+                       data_shape,
+                       padded_shape,
+                       pads_begin_vec,
+                       pads_end_vec,
+                       ngraph::op::PadMode::CONSTANT);
     data_shape = padded_shape;
 
     ov::Shape dispersed_shape(block_values_size + 1);
diff --git a/src/core/src/op/space_to_depth.cpp b/src/core/src/op/space_to_depth.cpp
index 1885dff9259..ccaa4d43c0d 100644
--- a/src/core/src/op/space_to_depth.cpp
+++ b/src/core/src/op/space_to_depth.cpp
@@ -66,13 +66,13 @@ bool evaluate_space_to_depth(const HostTensorVector& outputs,
         return false;
     }
 
-    runtime::reference::space_to_depth(in->get_data_ptr<char>(),
-                                       in->get_shape(),
-                                       out->get_data_ptr<char>(),
-                                       out->get_shape(),
-                                       block_size,
-                                       mode,
-                                       elem_size);
+    ov::reference::space_to_depth(in->get_data_ptr<char>(),
+                                  in->get_shape(),
+                                  out->get_data_ptr<char>(),
+                                  out->get_shape(),
+                                  block_size,
+                                  mode,
+                                  elem_size);
     return true;
 }
 }  // namespace
diff --git a/src/core/src/op/split.cpp b/src/core/src/op/split.cpp
index f9369af1463..dc2ac72b509 100644
--- a/src/core/src/op/split.cpp
+++ b/src/core/src/op/split.cpp
@@ -91,12 +91,12 @@ bool op::v1::Split::evaluate(const HostTensorVector& outputs, const HostTensorVe
         axis = normalize_axis(this, axis, data_tensor->get_partial_shape().rank());
         OPENVINO_SUPPRESS_DEPRECATED_END
 
-        ngraph::runtime::reference::split(data_tensor->get_data_ptr<char>(),
-                                          data_tensor->get_shape(),
-                                          data_tensor->get_element_type().size(),
-                                          axis,
-                                          m_num_splits,
-                                          outputs_data.data());
+        ov::reference::split(data_tensor->get_data_ptr<char>(),
+                             data_tensor->get_shape(),
+                             data_tensor->get_element_type().size(),
+                             axis,
+                             m_num_splits,
+                             outputs_data.data());
         return true;
     }
     return false;
diff --git a/src/core/src/op/sqrt.cpp b/src/core/src/op/sqrt.cpp
index 3c1f25eeab7..4758be3442b 100644
--- a/src/core/src/op/sqrt.cpp
+++ b/src/core/src/op/sqrt.cpp
@@ -34,7 +34,7 @@ namespace {
 template <element::Type_t ET>
 inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
-    runtime::reference::sqrt<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+    ov::reference::sqrt<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     return true;
 }
 
diff --git a/src/core/src/op/squeeze.cpp b/src/core/src/op/squeeze.cpp
index 195e306046e..f96f628413a 100644
--- a/src/core/src/op/squeeze.cpp
+++ b/src/core/src/op/squeeze.cpp
@@ -77,9 +77,9 @@ bool op::v0::Squeeze::evaluate(const HostTensorVector& outputs, const HostTensor
         auto out_shape = output_shapes[0].get_shape();
         outputs[0]->set_shape(out_shape);
 
-        ngraph::runtime::reference::copy(inputs[0]->get_data_ptr<char>(),
-                                         outputs[0]->get_data_ptr<char>(),
-                                         shape_size(out_shape) * outputs[0]->get_element_type().size());
+        ov::reference::copy(inputs[0]->get_data_ptr<char>(),
+                            outputs[0]->get_data_ptr<char>(),
+                            shape_size(out_shape) * outputs[0]->get_element_type().size());
 
         return true;
     }
diff --git a/src/core/src/op/strided_slice.cpp b/src/core/src/op/strided_slice.cpp
index 5fe80b615be..0e5a459ef00 100644
--- a/src/core/src/op/strided_slice.cpp
+++ b/src/core/src/op/strided_slice.cpp
@@ -198,11 +198,11 @@ inline bool evaluate(const HostTensorPtr& in, const SlicePlan& sp, const HostTen
 {
     auto in_shape = in->get_shape();
     out->set_shape(sp.reshape_out_shape);
-    runtime::reference::strided_slice(in->get_data_ptr<char>(),
-                                      out->get_data_ptr<char>(),
-                                      in_shape,
-                                      sp,
-                                      in->get_element_type().size());
+    ov::reference::strided_slice(in->get_data_ptr<char>(),
+                                 out->get_data_ptr<char>(),
+                                 in_shape,
+                                 sp,
+                                 in->get_element_type().size());
     return true;
 }
 
diff --git a/src/core/src/op/subtract.cpp b/src/core/src/op/subtract.cpp
index 57604264971..7986bb060d0 100644
--- a/src/core/src/op/subtract.cpp
+++ b/src/core/src/op/subtract.cpp
@@ -21,12 +21,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::subtract(arg0->get_data_ptr<ET>(),
-                                 arg1->get_data_ptr<ET>(),
-                                 out->get_data_ptr<ET>(),
-                                 arg0->get_shape(),
-                                 arg1->get_shape(),
-                                 broadcast_spec);
+    ov::reference::subtract(arg0->get_data_ptr<ET>(),
+                            arg1->get_data_ptr<ET>(),
+                            out->get_data_ptr<ET>(),
+                            arg0->get_shape(),
+                            arg1->get_shape(),
+                            broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/op/swish.cpp b/src/core/src/op/swish.cpp
index 8ea05d007a0..b6f2e91be34 100644
--- a/src/core/src/op/swish.cpp
+++ b/src/core/src/op/swish.cpp
@@ -81,12 +81,9 @@ inline bool evaluate(const HostTensorPtr& arg0,
                      const size_t count) {
     using T = typename element_type_traits<ET>::value_type;
     if (arg1 != nullptr) {
-        runtime::reference::swish<T>(arg0->get_data_ptr<ET>(),
-                                     arg1->get_data_ptr<ET>(),
-                                     out->get_data_ptr<ET>(),
-                                     count);
+        ov::reference::swish<T>(arg0->get_data_ptr<ET>(), arg1->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
     } else {
-        runtime::reference::swish<T>(arg0->get_data_ptr<ET>(), nullptr, out->get_data_ptr<ET>(), count);
+        ov::reference::swish<T>(arg0->get_data_ptr<ET>(), nullptr, out->get_data_ptr<ET>(), count);
     }
     return true;
 }
diff --git a/src/core/src/op/tile.cpp b/src/core/src/op/tile.cpp
index 8fb80a1ca3d..de6ced0e97a 100644
--- a/src/core/src/op/tile.cpp
+++ b/src/core/src/op/tile.cpp
@@ -66,12 +66,12 @@ bool op::v0::Tile::evaluate_tile(const HostTensorVector& outputs, const HostTens
         output->set_shape(output_shape);
     }
     repeats_val.insert(repeats_val.begin(), output_shape.size() - repeats_rank, 1);
-    ngraph::runtime::reference::tile(data->get_data_ptr<const char>(),
-                                     output->get_data_ptr<char>(),
-                                     data->get_shape(),
-                                     output_shape,
-                                     data->get_element_type().size(),
-                                     repeats_val);
+    ov::reference::tile(data->get_data_ptr<const char>(),
+                        output->get_data_ptr<char>(),
+                        data->get_shape(),
+                        output_shape,
+                        data->get_element_type().size(),
+                        repeats_val);
 
     return true;
 }
@@ -89,12 +89,12 @@ bool op::v0::Tile::evaluate(ov::TensorVector& output_values, const ov::TensorVec
     const auto& output_shape = shape_infer(this, input_shapes, make_tensor_accessor(input_values)).front().to_shape();
     output.set_shape(output_shape);
     repeats_val.insert(repeats_val.begin(), output_shape.size() - repeats_rank, 1);
-    ngraph::runtime::reference::tile(static_cast<const char*>(data.data()),
-                                     static_cast<char*>(output.data()),
-                                     data.get_shape(),
-                                     output_shape,
-                                     data.get_element_type().size(),
-                                     repeats_val);
+    ov::reference::tile(static_cast<const char*>(data.data()),
+                        static_cast<char*>(output.data()),
+                        data.get_shape(),
+                        output_shape,
+                        data.get_element_type().size(),
+                        repeats_val);
 
     return true;
 }
diff --git a/src/core/src/op/topk.cpp b/src/core/src/op/topk.cpp
index d650ecfece4..36ba74a7977 100644
--- a/src/core/src/op/topk.cpp
+++ b/src/core/src/op/topk.cpp
@@ -42,15 +42,15 @@ inline bool evaluate_execute(const HostTensorPtr& arg0,
     out_values->set_shape(out_shape);
     out_values->set_element_type(arg0->get_element_type());
 
-    runtime::reference::topk<T, U>(arg0->get_data_ptr<INPUT_ET>(),
-                                   out_indices->get_data_ptr<INDEX_ET>(),
-                                   out_values->get_data_ptr<INPUT_ET>(),
-                                   in_shape,
-                                   out_shape,
-                                   axis,
-                                   k,
-                                   compute_max,
-                                   sort);
+    ov::reference::topk<T, U>(arg0->get_data_ptr<INPUT_ET>(),
+                              out_indices->get_data_ptr<INDEX_ET>(),
+                              out_values->get_data_ptr<INPUT_ET>(),
+                              in_shape,
+                              out_shape,
+                              axis,
+                              k,
+                              compute_max,
+                              sort);
     return true;
 }
 
diff --git a/src/core/src/op/transpose.cpp b/src/core/src/op/transpose.cpp
index e0e8a0625a5..c0a5a4dd141 100644
--- a/src/core/src/op/transpose.cpp
+++ b/src/core/src/op/transpose.cpp
@@ -70,12 +70,12 @@ bool op::v1::Transpose::evaluate(const HostTensorVector& output_values, const Ho
     auto& out = output_values[ARG_T];
     out->set_shape(out_shape);
     out->set_element_type(arg->get_element_type());
-    ngraph::runtime::reference::transpose(arg->get_data_ptr<char>(),
-                                          out->get_data_ptr<char>(),
-                                          arg->get_shape(),
-                                          arg->get_element_type().size(),
-                                          axes_order.data(),
-                                          out_shape);
+    ov::reference::transpose(arg->get_data_ptr<char>(),
+                             out->get_data_ptr<char>(),
+                             arg->get_shape(),
+                             arg->get_element_type().size(),
+                             axes_order.data(),
+                             out_shape);
     return true;
 }
 OPENVINO_SUPPRESS_DEPRECATED_END
diff --git a/src/core/src/op/unique.cpp b/src/core/src/op/unique.cpp
index df179127b5b..3361d02b2b4 100644
--- a/src/core/src/op/unique.cpp
+++ b/src/core/src/op/unique.cpp
@@ -17,16 +17,16 @@ int64_t extract_axis(const std::shared_ptr<op::v0::Constant>& axis_constant) {
     return axis_vec.at(0);
 }
 
-struct Evaluate : element::NotSupported<ngraph::runtime::reference::UniqueElements<int32_t, int32_t>> {
-    using NotSupported<ngraph::runtime::reference::UniqueElements<int32_t, int32_t>>::visit;
+struct Evaluate : element::NotSupported<ov::reference::UniqueElements<int32_t, int32_t>> {
+    using NotSupported<ov::reference::UniqueElements<int32_t, int32_t>>::visit;
 
     template <element::Type_t ET>
     static result_type visit(const Tensor& input, std::unique_ptr<int64_t> axis, const bool sorted) {
         using T = fundamental_type_for<ET>;
-        return ngraph::runtime::reference::find_unique_elements<T, int32_t, int32_t>(input.data<T>(),
-                                                                                     input.get_shape(),
-                                                                                     std::move(axis),
-                                                                                     sorted);
+        return ov::reference::find_unique_elements<T, int32_t, int32_t>(input.data<T>(),
+                                                                        input.get_shape(),
+                                                                        std::move(axis),
+                                                                        sorted);
     }
 };
 
@@ -51,9 +51,7 @@ std::tuple<Shape, Shape, Shape> calculate_static_output_shapes(const Tensor& inp
                                                                                                       std::move(axis),
                                                                                                       op.get_sorted());
 
-    return ngraph::runtime::reference::make_tensor_shapes(unique_elements,
-                                                          input_data.get_shape(),
-                                                          maybe_extract_axis());
+    return ov::reference::make_tensor_shapes(unique_elements, input_data.get_shape(), maybe_extract_axis());
 }
 }  // namespace
 
diff --git a/src/core/src/op/unsqueeze.cpp b/src/core/src/op/unsqueeze.cpp
index c45900c4739..78587dd9423 100644
--- a/src/core/src/op/unsqueeze.cpp
+++ b/src/core/src/op/unsqueeze.cpp
@@ -55,7 +55,7 @@ struct Evaluate : element::NoAction<bool> {
 
     template <element::Type_t ET>
     static result_type visit(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
-        ngraph::runtime::reference::copy(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
+        ov::reference::copy(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
         return true;
     }
 };
diff --git a/src/core/src/op/util/broadcast_base.cpp b/src/core/src/op/util/broadcast_base.cpp
index f16647cecd2..e37836ad33b 100644
--- a/src/core/src/op/util/broadcast_base.cpp
+++ b/src/core/src/op/util/broadcast_base.cpp
@@ -327,12 +327,12 @@ bool ov::op::util::BroadcastBase::evaluate_broadcast(const HostTensorPtr& arg0,
     if (arg0_shape.size() == 0) {
         arg0_shape = Shape{1};
     }
-    ngraph::runtime::reference::broadcast(arg0->get_data_ptr<const char>(),
-                                          out->get_data_ptr<char>(),
-                                          arg0_shape,
-                                          out->get_shape(),
-                                          broadcast_axes,
-                                          arg0->get_element_type().size());
+    ov::reference::broadcast(arg0->get_data_ptr<const char>(),
+                             out->get_data_ptr<char>(),
+                             arg0_shape,
+                             out->get_shape(),
+                             broadcast_axes,
+                             arg0->get_element_type().size());
     return true;
 }
 
diff --git a/src/core/src/op/util/gather_base.cpp b/src/core/src/op/util/gather_base.cpp
index acdbad1e8e5..d89b6c8c30d 100644
--- a/src/core/src/op/util/gather_base.cpp
+++ b/src/core/src/op/util/gather_base.cpp
@@ -85,23 +85,23 @@ bool evaluate(const ngraph::HostTensorPtr& arg0,
     out->set_shape(out_shape);
 
     if (arg1->get_element_type() == ov::element::i64) {
-        ngraph::runtime::reference::gather<T, int64_t>(arg0->get_data_ptr<ET>(),
-                                                       arg1->get_data_ptr<int64_t>(),
-                                                       out->get_data_ptr<ET>(),
-                                                       arg0->get_shape(),
-                                                       arg1->get_shape(),
-                                                       out->get_shape(),
-                                                       axis,
-                                                       batch_dims);
+        ov::reference::gather<T, int64_t>(arg0->get_data_ptr<ET>(),
+                                          arg1->get_data_ptr<int64_t>(),
+                                          out->get_data_ptr<ET>(),
+                                          arg0->get_shape(),
+                                          arg1->get_shape(),
+                                          out->get_shape(),
+                                          axis,
+                                          batch_dims);
     } else if (arg1->get_element_type() == ov::element::i32) {
-        ngraph::runtime::reference::gather<T, int32_t>(arg0->get_data_ptr<ET>(),
-                                                       arg1->get_data_ptr<int32_t>(),
-                                                       out->get_data_ptr<ET>(),
-                                                       arg0->get_shape(),
-                                                       arg1->get_shape(),
-                                                       out->get_shape(),
-                                                       axis,
-                                                       batch_dims);
+        ov::reference::gather<T, int32_t>(arg0->get_data_ptr<ET>(),
+                                          arg1->get_data_ptr<int32_t>(),
+                                          out->get_data_ptr<ET>(),
+                                          arg0->get_shape(),
+                                          arg1->get_shape(),
+                                          out->get_shape(),
+                                          axis,
+                                          batch_dims);
     } else {
         OPENVINO_THROW("Unexpected type ", arg1->get_element_type().c_type_string(), " for Gather evaluate method.");
     }
diff --git a/src/core/src/op/util/pad_base.cpp b/src/core/src/op/util/pad_base.cpp
index 31c9fb17ad2..8fcbbbf12a9 100644
--- a/src/core/src/op/util/pad_base.cpp
+++ b/src/core/src/op/util/pad_base.cpp
@@ -132,15 +132,15 @@ bool op::util::PadBase::evaluate_pad(TensorVector& outputs, const TensorVector&
     }
     outputs[0].set_shape(padded_shape);
 
-    ngraph::runtime::reference::pad(static_cast<char*>(inputs[0].data()),
-                                    pad_value,
-                                    static_cast<char*>(outputs[0].data()),
-                                    elem_size,
-                                    data_shape,
-                                    padded_shape,
-                                    pads_begin_coord,
-                                    pads_end_coord,
-                                    get_pad_mode());
+    ov::reference::pad(static_cast<char*>(inputs[0].data()),
+                       pad_value,
+                       static_cast<char*>(outputs[0].data()),
+                       elem_size,
+                       data_shape,
+                       padded_shape,
+                       pads_begin_coord,
+                       pads_end_coord,
+                       get_pad_mode());
 
     return true;
 }
diff --git a/src/core/src/op/variadic_split.cpp b/src/core/src/op/variadic_split.cpp
index 1b8c6279b1a..4b29c594e75 100644
--- a/src/core/src/op/variadic_split.cpp
+++ b/src/core/src/op/variadic_split.cpp
@@ -62,14 +62,14 @@ inline bool evaluate(const HostTensorPtr& in,
     const auto has_nonzero_dims = std::none_of(output_shape.begin(), output_shape.end(), ov::cmp::Equal<size_t>(0));
 
     if (has_nonzero_dims) {
-        runtime::reference::slice(in->get_data_ptr<const char>(),
-                                  out->get_data_ptr<char>(),
-                                  in->get_shape(),
-                                  lower_bounds,
-                                  upper_bounds,
-                                  Strides(lower_bounds.size(), 1),
-                                  out->get_shape(),
-                                  in->get_element_type().size());
+        ov::reference::slice(in->get_data_ptr<const char>(),
+                             out->get_data_ptr<char>(),
+                             in->get_shape(),
+                             lower_bounds,
+                             upper_bounds,
+                             Strides(lower_bounds.size(), 1),
+                             out->get_shape(),
+                             in->get_element_type().size());
         return true;
     }
     return false;
diff --git a/src/core/src/op/xor.cpp b/src/core/src/op/xor.cpp
index 846e0714166..7fd85e8600f 100644
--- a/src/core/src/op/xor.cpp
+++ b/src/core/src/op/xor.cpp
@@ -33,12 +33,12 @@ bool evaluate(const HostTensorPtr& arg0,
               const HostTensorPtr& arg1,
               const HostTensorPtr& out,
               const op::AutoBroadcastSpec& broadcast_spec) {
-    runtime::reference::logical_xor(arg0->get_data_ptr<ET>(),
-                                    arg1->get_data_ptr<ET>(),
-                                    out->get_data_ptr<ET>(),
-                                    arg0->get_shape(),
-                                    arg1->get_shape(),
-                                    broadcast_spec);
+    ov::reference::logical_xor(arg0->get_data_ptr<ET>(),
+                               arg1->get_data_ptr<ET>(),
+                               out->get_data_ptr<ET>(),
+                               arg0->get_shape(),
+                               arg1->get_shape(),
+                               broadcast_spec);
     return true;
 }
 
diff --git a/src/core/src/pass/serialize.cpp b/src/core/src/pass/serialize.cpp
index a78ad5dbc48..de2fcd8c46b 100644
--- a/src/core/src/pass/serialize.cpp
+++ b/src/core/src/pass/serialize.cpp
@@ -157,7 +157,7 @@ private:
             auto new_ptr = std::unique_ptr<char[]>(new char[*compressed_size]);
             auto dst_data = reinterpret_cast<ov::float16*>(new_ptr.get());
             auto src_data = reinterpret_cast<const float*>(ptr);
-            ngraph::runtime::reference::convert_from_f32_to_f16_with_clamp(src_data, dst_data, num_src_elements);
+            ov::reference::convert_from_f32_to_f16_with_clamp(src_data, dst_data, num_src_elements);
             return new_ptr;
         } else if (src_type == ov::element::f64) {
             auto new_ptr = std::unique_ptr<char[]>(new char[*compressed_size]);
diff --git a/src/core/tests/coordinate.cpp b/src/core/tests/coordinate.cpp
index 2fcb6bc8a79..f7cc7e18b8a 100644
--- a/src/core/tests/coordinate.cpp
+++ b/src/core/tests/coordinate.cpp
@@ -11,14 +11,14 @@
 #include "common_test_utils/ndarray.hpp"
 #include "common_test_utils/test_tools.hpp"
 #include "gtest/gtest.h"
-#include "ngraph/coordinate_transform.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 
 using namespace std;
 using namespace ov;
 
 OPENVINO_SUPPRESS_DEPRECATED_START
 TEST(coordinate, shape0d) {
-    auto ct = ngraph::CoordinateTransform({});
+    auto ct = ov::CoordinateTransform({});
     ASSERT_EQ(shape_size(ct.get_target_shape()), 1);
     auto it = ct.begin();
     EXPECT_EQ(*it++, ov::Coordinate({}));
@@ -26,7 +26,7 @@ TEST(coordinate, shape0d) {
 }
 
 TEST(coordinate, shape1d) {
-    auto ct = ngraph::CoordinateTransform({3});
+    auto ct = ov::CoordinateTransform({3});
     ASSERT_EQ(shape_size(ct.get_target_shape()), 3);
     auto it = ct.begin();
     EXPECT_EQ(*it++, Coordinate({0}));
@@ -36,7 +36,7 @@ TEST(coordinate, shape1d) {
 }
 
 TEST(coordinate, shape2d) {
-    auto ct = ngraph::CoordinateTransform({2, 3});
+    auto ct = ov::CoordinateTransform({2, 3});
     ASSERT_EQ(shape_size(ct.get_target_shape()), 6);
     auto it = ct.begin();
     EXPECT_EQ(*it++, Coordinate({0, 0}));
@@ -49,7 +49,7 @@ TEST(coordinate, shape2d) {
 }
 
 TEST(coordinate, shape3d) {
-    auto ct = ngraph::CoordinateTransform({2, 3, 4});
+    auto ct = ov::CoordinateTransform({2, 3, 4});
     ASSERT_EQ(shape_size(ct.get_target_shape()), 24);
     auto it = ct.begin();
     EXPECT_EQ(*it++, Coordinate({0, 0, 0}));
@@ -80,7 +80,7 @@ TEST(coordinate, shape3d) {
 }
 
 TEST(coordinate, zero_sized_axis) {
-    auto ct = ngraph::CoordinateTransform({2, 0, 4});
+    auto ct = ov::CoordinateTransform({2, 0, 4});
     ASSERT_EQ(shape_size(ct.get_target_shape()), 0);
     auto it = ct.begin();
     EXPECT_TRUE(it == ct.end());
@@ -97,14 +97,14 @@ TEST(coordinate, corner) {
     CoordinateDiff target_padding_above = CoordinateDiff(source_shape.size(), 0);
     Strides source_dilation_strides = Strides(source_shape.size(), 1);
 
-    auto ct = ngraph::CoordinateTransform(source_shape,
-                                          source_start_corner,
-                                          source_end_corner,
-                                          source_strides,
-                                          source_axis_order,
-                                          target_padding_below,
-                                          target_padding_above,
-                                          source_dilation_strides);
+    auto ct = ov::CoordinateTransform(source_shape,
+                                      source_start_corner,
+                                      source_end_corner,
+                                      source_strides,
+                                      source_axis_order,
+                                      target_padding_below,
+                                      target_padding_above,
+                                      source_dilation_strides);
 
     ASSERT_EQ(shape_size(ct.get_target_shape()), 9);
     auto it = ct.begin();
@@ -131,14 +131,14 @@ TEST(coordinate, strides) {
     CoordinateDiff target_padding_above = CoordinateDiff(source_shape.size(), 0);
     Strides source_dilation_strides = Strides(source_shape.size(), 1);
 
-    auto ct = ngraph::CoordinateTransform(source_shape,
-                                          source_start_corner,
-                                          source_end_corner,
-                                          source_strides,
-                                          source_axis_order,
-                                          target_padding_below,
-                                          target_padding_above,
-                                          source_dilation_strides);
+    auto ct = ov::CoordinateTransform(source_shape,
+                                      source_start_corner,
+                                      source_end_corner,
+                                      source_strides,
+                                      source_axis_order,
+                                      target_padding_below,
+                                      target_padding_above,
+                                      source_dilation_strides);
 
     ASSERT_EQ(shape_size(ct.get_target_shape()), 20);
     auto it = ct.begin();
@@ -175,14 +175,14 @@ TEST(coordinate, axis_order) {
     CoordinateDiff target_padding_above = CoordinateDiff(source_shape.size(), 0);
     Strides source_dilation_strides = Strides(source_shape.size(), 1);
 
-    auto ct = ngraph::CoordinateTransform(source_shape,
-                                          source_start_corner,
-                                          source_end_corner,
-                                          source_strides,
-                                          source_axis_order,
-                                          target_padding_below,
-                                          target_padding_above,
-                                          source_dilation_strides);
+    auto ct = ov::CoordinateTransform(source_shape,
+                                      source_start_corner,
+                                      source_end_corner,
+                                      source_strides,
+                                      source_axis_order,
+                                      target_padding_below,
+                                      target_padding_above,
+                                      source_dilation_strides);
 
     ASSERT_EQ(shape_size(ct.get_target_shape()), 24);
     auto it = ct.begin();
diff --git a/src/core/tests/coordinate_range.cpp b/src/core/tests/coordinate_range.cpp
index f8218f98f1e..502de728270 100644
--- a/src/core/tests/coordinate_range.cpp
+++ b/src/core/tests/coordinate_range.cpp
@@ -2,7 +2,7 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
-#include "ngraph/coordinate_range.hpp"
+#include "openvino/reference/utils/coordinate_range.hpp"
 
 #include <algorithm>
 #include <numeric>
@@ -25,7 +25,7 @@ TEST(coordinate_range, slice_range_shape0d) {
     const Shape s;
     const Coordinate start_corner(s.size());
 
-    auto slice_range = ngraph::coordinates::slice(s, start_corner, s);
+    auto slice_range = ov::coordinates::slice(s, start_corner, s);
     auto it = slice_range.begin();
     EXPECT_EQ(it, begin(slice_range));
     EXPECT_FALSE(it == slice_range.end());
@@ -42,7 +42,7 @@ TEST(coordinate_range, slice_range_shape1d) {
     ASSERT_EQ(expected.size(), shape_size(s)) << "check epxected data";
 
     auto expected_val = begin(expected);
-    for (auto slice_range : ngraph::coordinates::slice(s, start_corner, s)) {
+    for (auto slice_range : ov::coordinates::slice(s, start_corner, s)) {
         auto index = slice_range.begin_index;
         for (size_t i = 0; i < slice_range.element_number; index += slice_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
@@ -65,7 +65,7 @@ TEST(coordinate_range, slice_range_shape2d) {
     ASSERT_EQ(expected.size(), shape_size(s)) << "check epxected data";
 
     auto expected_val = begin(expected);
-    for (auto slice_range : ngraph::coordinates::slice(s, start_corner, s)) {
+    for (auto slice_range : ov::coordinates::slice(s, start_corner, s)) {
         auto index = slice_range.begin_index;
         for (size_t i = 0; i < slice_range.element_number; index += slice_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
@@ -92,7 +92,7 @@ TEST(coordinate_range, slice_range_shape3d) {
     ASSERT_EQ(expected.size(), shape_size(s)) << "check epxected data";
 
     auto expected_val = begin(expected);
-    for (auto slice_range : ngraph::coordinates::slice(s, start_corner, s)) {
+    for (auto slice_range : ov::coordinates::slice(s, start_corner, s)) {
         auto index = slice_range.begin_index;
         for (size_t i = 0; i < slice_range.element_number; index += slice_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
@@ -106,7 +106,7 @@ TEST(coordinate_range, slice_range_zero_sized_axis) {
     const Shape s{2, 0, 4};
     const Coordinate start_corner(s.size());
 
-    auto slice_range = ngraph::coordinates::slice(s, start_corner, s);
+    auto slice_range = ov::coordinates::slice(s, start_corner, s);
     auto it = slice_range.begin();
     EXPECT_TRUE(it == slice_range.end()) << "Expect empyt range";
 }
@@ -116,10 +116,10 @@ TEST(coordinate_range, slice_range_zero_sized_axis) {
 ///
 TEST(coordinate_range, slice_range_input_validataion) {
     const Shape s{10, 10, 10};
-    EXPECT_THROW(ngraph::coordinates::slice(s, {1}, {1}), std::domain_error);
-    EXPECT_THROW(ngraph::coordinates::slice(s, s, {1}), std::domain_error);
-    EXPECT_THROW(ngraph::coordinates::slice(s, {1}, s), std::domain_error);
-    EXPECT_THROW(ngraph::coordinates::slice(s, s, s, {}), std::domain_error);
+    EXPECT_THROW(ov::coordinates::slice(s, {1}, {1}), std::domain_error);
+    EXPECT_THROW(ov::coordinates::slice(s, s, {1}), std::domain_error);
+    EXPECT_THROW(ov::coordinates::slice(s, {1}, s), std::domain_error);
+    EXPECT_THROW(ov::coordinates::slice(s, s, s, {}), std::domain_error);
 }
 
 namespace {
@@ -165,7 +165,7 @@ TEST(coordinate_range, slice_range_corner) {
         << "check epxected data";
 
     auto expected_val = begin(expected);
-    for (auto slice_range : ngraph::coordinates::slice(s, source_start_corner, source_end_corner)) {
+    for (auto slice_range : ov::coordinates::slice(s, source_start_corner, source_end_corner)) {
         auto index = slice_range.begin_index;
         for (size_t i = 0; i < slice_range.element_number; index += slice_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
@@ -195,7 +195,7 @@ TEST(coordinate_range, slice_range_strides) {
         << "check epxected data";
 
     auto expected_val = begin(expected);
-    for (auto slice_range : ngraph::coordinates::slice(s, source_start_corner, source_end_corner, source_strides)) {
+    for (auto slice_range : ov::coordinates::slice(s, source_start_corner, source_end_corner, source_strides)) {
         auto index = slice_range.begin_index;
         for (size_t i = 0; i < slice_range.element_number; index += slice_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
@@ -216,7 +216,7 @@ TEST(coordinate_range, reverse_range_shape0d) {
     const Shape s;
     const AxisSet reverset_axis{};
 
-    auto reverse_range = ngraph::coordinates::reverse(s, reverset_axis);
+    auto reverse_range = ov::coordinates::reverse(s, reverset_axis);
     auto it = reverse_range.begin();
     EXPECT_EQ(it, begin(reverse_range));
     auto v = *it;  // if it is not end it has to be dereferencable;
@@ -232,9 +232,9 @@ TEST(coordinate_range, reverse_range_shape1d) {
     EXPECT_EQ(expected.size(), shape_size(s)) << "check epxected data";
 
     auto expected_val = begin(expected);
-    for (auto reverse_range : ngraph::coordinates::reverse(s, reverset_axis)) {
+    for (auto reverse_range : ov::coordinates::reverse(s, reverset_axis)) {
         auto index = reverse_range.begin_index;
-        ASSERT_EQ(reverse_range.direction, ngraph::coordinates::Direction::forward);
+        ASSERT_EQ(reverse_range.direction, ov::coordinates::Direction::forward);
         for (size_t i = 0; i < reverse_range.element_number; index += reverse_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
             ++expected_val;
@@ -257,9 +257,9 @@ TEST(coordinate_range, reverse_range_shape2d) {
     EXPECT_EQ(expected.size(), shape_size(s)) << "check epxected data";
 
     auto expected_val = begin(expected);
-    for (auto reverse_range : ngraph::coordinates::reverse(s, reverset_axis)) {
+    for (auto reverse_range : ov::coordinates::reverse(s, reverset_axis)) {
         auto index = reverse_range.begin_index;
-        ASSERT_EQ(reverse_range.direction, ngraph::coordinates::Direction::forward);
+        ASSERT_EQ(reverse_range.direction, ov::coordinates::Direction::forward);
         for (size_t i = 0; i < reverse_range.element_number; index += reverse_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
             ++expected_val;
@@ -286,9 +286,9 @@ TEST(coordinate_range, reverse_range_shape3d) {
     EXPECT_EQ(expected.size(), shape_size(s)) << "check epxected data";
 
     auto expected_val = begin(expected);
-    for (auto reverse_range : ngraph::coordinates::reverse(s, reverset_axis)) {
+    for (auto reverse_range : ov::coordinates::reverse(s, reverset_axis)) {
         auto index = reverse_range.begin_index;
-        ASSERT_EQ(reverse_range.direction, ngraph::coordinates::Direction::forward);
+        ASSERT_EQ(reverse_range.direction, ov::coordinates::Direction::forward);
         for (size_t i = 0; i < reverse_range.element_number; index += reverse_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
             ++expected_val;
@@ -302,7 +302,7 @@ TEST(coordinate_range, reverse_range_shape3d) {
 TEST(coordinate_range, reverse_range_zero_sized_axis) {
     const Shape s{2, 0, 4};
 
-    auto reverse_range = ngraph::coordinates::reverse(s, {});
+    auto reverse_range = ov::coordinates::reverse(s, {});
     auto it = reverse_range.begin();
     EXPECT_TRUE(it == reverse_range.end()) << "Expect empyt range";
 }
@@ -312,7 +312,7 @@ TEST(coordinate_range, reverse_range_zero_sized_axis) {
 ///
 TEST(coordinate_range, reverse_range_input_validataion) {
     const Shape s{10, 10, 10};
-    EXPECT_THROW(ngraph::coordinates::reverse(s, {10}), std::domain_error);
+    EXPECT_THROW(ov::coordinates::reverse(s, {10}), std::domain_error);
 }
 
 TEST(coordinate_range, reverse_range_2d) {
@@ -326,9 +326,9 @@ TEST(coordinate_range, reverse_range_2d) {
         {29, {2, 9}}, {28, {2, 8}}, {27, {2, 7}}, {26, {2, 6}}, {25, {2, 5}}, {24, {2, 4}}, {23, {2, 3}}, {22, {2, 2}}, {21, {2, 1}}, {20, {2, 0}}};
     // clang-format on
     auto expected_val = begin(expected);
-    for (auto reverse_range : ngraph::coordinates::reverse(s, reverset_axis)) {
+    for (auto reverse_range : ov::coordinates::reverse(s, reverset_axis)) {
         auto index = reverse_range.begin_index;
-        ASSERT_EQ(reverse_range.direction, ngraph::coordinates::Direction::reverse);
+        ASSERT_EQ(reverse_range.direction, ov::coordinates::Direction::reverse);
         for (size_t i = 0; i < reverse_range.element_number; index -= reverse_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
             ++expected_val;
@@ -359,9 +359,9 @@ TEST(coordinate_range, reverse_1_range_3d) {
     // clang-format on
 
     auto expected_val = begin(expected);
-    for (auto reverse_range : ngraph::coordinates::reverse(s, reverset_axis)) {
+    for (auto reverse_range : ov::coordinates::reverse(s, reverset_axis)) {
         auto index = reverse_range.begin_index;
-        ASSERT_EQ(reverse_range.direction, ngraph::coordinates::Direction::forward);
+        ASSERT_EQ(reverse_range.direction, ov::coordinates::Direction::forward);
         for (size_t i = 0; i < reverse_range.element_number; index += reverse_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
             ++expected_val;
@@ -392,9 +392,9 @@ TEST(coordinate_range, reverse_2_range_3d) {
     // clang-format on
 
     auto expected_val = begin(expected);
-    for (auto reverse_range : ngraph::coordinates::reverse(s, reverset_axis)) {
+    for (auto reverse_range : ov::coordinates::reverse(s, reverset_axis)) {
         auto index = reverse_range.begin_index;
-        ASSERT_EQ(reverse_range.direction, ngraph::coordinates::Direction::reverse);
+        ASSERT_EQ(reverse_range.direction, ov::coordinates::Direction::reverse);
         for (size_t i = 0; i < reverse_range.element_number; index -= reverse_range.step, ++i) {
             EXPECT_EQ(index, expected_val->first);
             ++expected_val;
diff --git a/src/core/tests/ov_tensor_test.cpp b/src/core/tests/ov_tensor_test.cpp
index 4c67940c872..6a7eb090444 100644
--- a/src/core/tests/ov_tensor_test.cpp
+++ b/src/core/tests/ov_tensor_test.cpp
@@ -12,11 +12,11 @@
 #include <openvino/core/strides.hpp>
 #include <openvino/core/type/element_type.hpp>
 
-#include "ngraph/coordinate_transform.hpp"
 #include "openvino/core/except.hpp"
 #include "openvino/core/partial_shape.hpp"
 #include "openvino/core/type/element_type_traits.hpp"
 #include "openvino/op/parameter.hpp"
+#include "openvino/reference/utils/coordinate_transform.hpp"
 #include "openvino/runtime/allocator.hpp"
 #include "openvino/runtime/remote_tensor.hpp"
 #include "openvino/runtime/tensor.hpp"
@@ -358,7 +358,7 @@ TEST_F(OVTensorTest, readRangeRoiBlob) {
         const std::uint8_t* roi = reinterpret_cast<const std::uint8_t*>(roi_tensor.data());
         ASSERT_NE(nullptr, roi);
         auto strides = roi_tensor.get_strides();
-        for (auto&& c : ngraph::CoordinateTransformBasic{roi_tensor.get_shape()}) {
+        for (auto&& c : ov::CoordinateTransformBasic{roi_tensor.get_shape()}) {
             auto actual_addr = roi + c[3] * strides[3] + c[2] * strides[2] + c[1] * strides[1] + c[0] * strides[0];
             auto expected_addr = t.data<int32_t>() + ((c[3] + 4) * strides[3] + (c[2] + 2) * strides[2] +
                                                       (c[1] + 0) * strides[1] + (c[0] + 0) * strides[0]) /
@@ -383,7 +383,7 @@ std::vector<T> fill_data(const ov::Tensor& tensor) {
     std::vector<T> actual;
     const T* data = tensor.data<T>();
     auto strides = tensor.get_strides();
-    for (auto&& c : ngraph::CoordinateTransformBasic{tensor.get_shape()}) {
+    for (auto&& c : ov::CoordinateTransformBasic{tensor.get_shape()}) {
         size_t offset = 0;
         for (size_t i = 0; i < strides.size(); i++)
             offset += c[i] * strides[i];
@@ -550,7 +550,7 @@ INSTANTIATE_TEST_SUITE_P(copy_tests,
                                             ),
                                             ::testing::Values(
                                                               TestParams {
-                                                                  ov::Shape{1, 3, 4, 8}, {}, 
+                                                                  ov::Shape{1, 3, 4, 8}, {},
                                                                   {0}, {}
                                                               },
                                                               TestParams {
@@ -566,15 +566,15 @@ INSTANTIATE_TEST_SUITE_P(copy_tests,
                                                                   ov::Shape{3, 2, 2}, ov::Strides{128, 24, 8}
                                                               },
                                                               TestParams {
-                                                                  ov::Shape{}, {}, 
+                                                                  ov::Shape{}, {},
                                                                   {}, {}
                                                               },
                                                               TestParams {
-                                                                  ov::Shape{1}, {}, 
+                                                                  ov::Shape{1}, {},
                                                                   {}, {}
                                                               },
                                                               TestParams {
-                                                                  ov::Shape{}, {}, 
+                                                                  ov::Shape{}, {},
                                                                   {1}, {}
                                                               }
                                            )));
diff --git a/src/core/tests/span.cpp b/src/core/tests/span.cpp
index 529965b1fc3..e4bdb449bd1 100644
--- a/src/core/tests/span.cpp
+++ b/src/core/tests/span.cpp
@@ -10,7 +10,7 @@
 
 #include "gtest/gtest.h"
 
-using namespace ngraph::runtime::reference;
+using namespace ov::reference;
 
 TEST(span_util, create_from_vector) {
     std::vector<int> data{1, 2, 3, 4};
diff --git a/src/plugins/intel_gpu/tests/unit/dynamic_execution/priorbox_test.cpp b/src/plugins/intel_gpu/tests/unit/dynamic_execution/priorbox_test.cpp
index 4c027f8b236..3516b4f7f20 100644
--- a/src/plugins/intel_gpu/tests/unit/dynamic_execution/priorbox_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/dynamic_execution/priorbox_test.cpp
@@ -153,7 +153,7 @@ TEST(priorbox_constant_propagation_test, basic) {
     std::vector<float> ref(28800);
     std::vector<int32_t> output_size = {30, 30};
     std::vector<int32_t> image_size = {224, 224};
-    ngraph::runtime::reference::prior_box(output_size.data(), image_size.data(), ref.data(), ov::Shape{2,14400}, attrs);
+    ov::reference::prior_box(output_size.data(), image_size.data(), ref.data(), ov::Shape{2, 14400}, attrs);
     std::vector<float> ref_concat = ref;
     ref_concat.insert(ref_concat.end(), ref.begin(), ref.end());
 
diff --git a/src/plugins/intel_gpu/tests/unit/test_cases/adaptive_avg_pooling_gpu_test.cpp b/src/plugins/intel_gpu/tests/unit/test_cases/adaptive_avg_pooling_gpu_test.cpp
index 2e234751438..70478709e12 100644
--- a/src/plugins/intel_gpu/tests/unit/test_cases/adaptive_avg_pooling_gpu_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/test_cases/adaptive_avg_pooling_gpu_test.cpp
@@ -72,7 +72,7 @@ void generateTestData(const AdaptiveAvgPoolingParams& p, const format fmt, const
     const auto inShape = tensorToShape(p.inputTensor, fmt);
     const auto outShape = tensorToShape(p.outputTensor, fmt);
 
-    ngraph::runtime::reference::adaptive_avg_pool<float>(random_inputs.data(), out.data(), inShape, outShape);
+    ov::reference::adaptive_avg_pool<float>(random_inputs.data(), out.data(), inShape, outShape);
 
     inputs = getValues<T>(random_inputs);
     outputs = getValues<T>(out);
diff --git a/src/plugins/intel_gpu/tests/unit/test_cases/adaptive_max_pooling_gpu_test.cpp b/src/plugins/intel_gpu/tests/unit/test_cases/adaptive_max_pooling_gpu_test.cpp
index f964cb03597..649d933db70 100644
--- a/src/plugins/intel_gpu/tests/unit/test_cases/adaptive_max_pooling_gpu_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/test_cases/adaptive_max_pooling_gpu_test.cpp
@@ -76,7 +76,7 @@ void generateTestData(const AdaptiveMaxPoolingParams& p, const format fmt, const
     const auto inShape = tensorToShape(p.inputTensor, fmt);
     const auto outShape = tensorToShape(p.outputTensor, fmt);
 
-    ngraph::runtime::reference::adaptive_max_pool<float, int32_t>(random_inputs.data(), out.data(), ind.data(), inShape, outShape);
+    ov::reference::adaptive_max_pool<float, int32_t>(random_inputs.data(), out.data(), ind.data(), inShape, outShape);
 
     inputs = getValues<T>(random_inputs);
     outputs = getValues<T>(out);
diff --git a/src/plugins/intel_gpu/tests/unit/test_cases/broadcast_gpu_test.cpp b/src/plugins/intel_gpu/tests/unit/test_cases/broadcast_gpu_test.cpp
index 3b8f70d928b..cdc17779d9a 100644
--- a/src/plugins/intel_gpu/tests/unit/test_cases/broadcast_gpu_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/test_cases/broadcast_gpu_test.cpp
@@ -29,9 +29,12 @@ void start_broadcast_test(format cldnn_format, data_types cldnn_data_type, std::
     size_t output_data_size = accumulate(output_shape.rbegin(), output_shape.rend(), (size_t)1, std::multiplies<size_t>());
     ASSERT_GE(output_data_size, (size_t)1);
     std::vector<T> output_data(output_data_size);
-    ngraph::runtime::reference::broadcast(reinterpret_cast<const char*>(input_data.data()), reinterpret_cast<char*>(output_data.data()),
-                                          ov::Shape(input_shape.begin(), input_shape.end()), ov::Shape(output_shape.begin(), output_shape.end()),
-                                          ov::AxisSet(broadcast_axes), sizeof(T));
+    ov::reference::broadcast(reinterpret_cast<const char*>(input_data.data()),
+                             reinterpret_cast<char*>(output_data.data()),
+                             ov::Shape(input_shape.begin(), input_shape.end()),
+                             ov::Shape(output_shape.begin(), output_shape.end()),
+                             ov::AxisSet(broadcast_axes),
+                             sizeof(T));
 
     ASSERT_EQ(output_data.size(), accumulate(output_shape.rbegin(), output_shape.rend(), (size_t)1, std::multiplies<size_t>()));
 
@@ -101,9 +104,12 @@ void start_broadcast_test_dynamic(format input_format,
     size_t output_data_size = accumulate(output_shape.rbegin(), output_shape.rend(), (size_t)1, std::multiplies<size_t>());
     ASSERT_GE(output_data_size, (size_t)1);
     std::vector<T> output_data(output_data_size);
-    ngraph::runtime::reference::broadcast(reinterpret_cast<const char*>(input_data.data()), reinterpret_cast<char*>(output_data.data()),
-                                          ov::Shape(input_data_shape.begin(), input_data_shape.end()), ov::Shape(output_shape.begin(), output_shape.end()),
-                                          ov::AxisSet(broadcast_axes), sizeof(T));
+    ov::reference::broadcast(reinterpret_cast<const char*>(input_data.data()),
+                             reinterpret_cast<char*>(output_data.data()),
+                             ov::Shape(input_data_shape.begin(), input_data_shape.end()),
+                             ov::Shape(output_shape.begin(), output_shape.end()),
+                             ov::AxisSet(broadcast_axes),
+                             sizeof(T));
 
     ASSERT_EQ(output_data.size(), accumulate(output_shape.rbegin(), output_shape.rend(), (size_t)1, std::multiplies<size_t>()));
 
@@ -192,9 +198,12 @@ void start_broadcast_test_5d(format cldnn_format, data_types cldnn_data_type, st
     size_t output_data_size = accumulate(output_shape.rbegin(), output_shape.rend(), (size_t)1, std::multiplies<size_t>());
     ASSERT_GE(output_data_size, (size_t)1);
     std::vector<T> output_data(output_data_size);
-    ngraph::runtime::reference::broadcast(reinterpret_cast<const char*>(input_data.data()), reinterpret_cast<char*>(output_data.data()),
-                                          ov::Shape(input_shape.begin(), input_shape.end()), ov::Shape(output_shape.begin(), output_shape.end()),
-                                          ov::AxisSet(broadcast_axes), sizeof(T));
+    ov::reference::broadcast(reinterpret_cast<const char*>(input_data.data()),
+                             reinterpret_cast<char*>(output_data.data()),
+                             ov::Shape(input_shape.begin(), input_shape.end()),
+                             ov::Shape(output_shape.begin(), output_shape.end()),
+                             ov::AxisSet(broadcast_axes),
+                             sizeof(T));
 
     ASSERT_EQ(output_data.size(), accumulate(output_shape.rbegin(), output_shape.rend(), (size_t)1, std::multiplies<size_t>()));
 
diff --git a/src/plugins/intel_gpu/tests/unit/test_cases/gemm_gpu_test.cpp b/src/plugins/intel_gpu/tests/unit/test_cases/gemm_gpu_test.cpp
index a35295c5f6e..ef6031465d2 100644
--- a/src/plugins/intel_gpu/tests/unit/test_cases/gemm_gpu_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/test_cases/gemm_gpu_test.cpp
@@ -194,15 +194,14 @@ class GemmGPUTestRandom : public GemmGPUTest {
     }
 
     void calculate_output_data() {
-        ngraph::runtime::reference::matmul<float>(
-                input_data[0].data(),
-                input_data[1].data(),
-                out_data.data(),
-                input0_shape,
-                input1_shape,
-                output_shape,
-                transpose_input0,
-                transpose_input1);
+        ov::reference::matmul<float>(input_data[0].data(),
+                                     input_data[1].data(),
+                                     out_data.data(),
+                                     input0_shape,
+                                     input1_shape,
+                                     output_shape,
+                                     transpose_input0,
+                                     transpose_input1);
     }
 
 protected:
diff --git a/src/plugins/intel_gpu/tests/unit/test_cases/non_zero_gpu_test.cpp b/src/plugins/intel_gpu/tests/unit/test_cases/non_zero_gpu_test.cpp
index 1944255ee09..b3aee2a31d6 100644
--- a/src/plugins/intel_gpu/tests/unit/test_cases/non_zero_gpu_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/test_cases/non_zero_gpu_test.cpp
@@ -42,7 +42,7 @@ template<typename T>
 void test_count_non_zero(layout in_layout, std::vector<T> in_data) {
     auto& engine = get_test_engine();
     auto input_mem = engine.allocate_memory(in_layout);
-    auto count_non_zero = ngraph::runtime::reference::non_zero_get_count<T>(in_data.data(), in_layout.get_shape());
+    auto count_non_zero = ov::reference::non_zero_get_count<T>(in_data.data(), in_layout.get_shape());
 
     set_values(input_mem, in_data);
 
@@ -154,7 +154,7 @@ TEST(test_count_non_zero, dynamic_2d_f32_bfyx) {
         auto output = outputs.at("count_nonzero").get_memory();
         cldnn::mem_lock<int32_t> output_ptr(output, get_test_stream());
 
-        auto count_non_zero = ngraph::runtime::reference::non_zero_get_count<float>(in_data.data(), in_layout.get_shape());
+        auto count_non_zero = ov::reference::non_zero_get_count<float>(in_data.data(), in_layout.get_shape());
         ASSERT_EQ(count_non_zero, output_ptr[0]);
     }
 }
@@ -163,10 +163,10 @@ template<typename T>
 void test_gather_non_zero(layout in_layout, std::vector<T> in_data) {
     auto& engine = get_test_engine();
     auto input_mem = engine.allocate_memory(in_layout);
-    auto count_non_zero = ngraph::runtime::reference::non_zero_get_count<T>(in_data.data(), in_layout.get_shape());
+    auto count_non_zero = ov::reference::non_zero_get_count<T>(in_data.data(), in_layout.get_shape());
     auto in_rank = in_layout.get_shape().size();
     std::vector<int32_t> expected_results(count_non_zero * in_rank);
-    ngraph::runtime::reference::non_zero<T, int32_t>(in_data.data(), expected_results.data(), in_layout.get_shape());
+    ov::reference::non_zero<T, int32_t>(in_data.data(), expected_results.data(), in_layout.get_shape());
 
     auto output_shape_layout = layout{ov::PartialShape{1}, data_types::i32, format::bfyx};
     auto output_shape_mem = engine.allocate_memory(output_shape_layout);
@@ -324,10 +324,10 @@ template<typename T>
 void test_non_zero(layout in_layout, std::vector<T> in_data) {
     auto& engine = get_test_engine();
     auto input_mem = engine.allocate_memory(in_layout);
-    auto count_non_zero = ngraph::runtime::reference::non_zero_get_count<T>(in_data.data(), in_layout.get_shape());
+    auto count_non_zero = ov::reference::non_zero_get_count<T>(in_data.data(), in_layout.get_shape());
     auto in_rank = in_layout.get_shape().size();
     std::vector<int32_t> expected_results(count_non_zero * in_rank);
-    ngraph::runtime::reference::non_zero<T, int32_t>(in_data.data(), expected_results.data(), in_layout.get_shape());
+    ov::reference::non_zero<T, int32_t>(in_data.data(), expected_results.data(), in_layout.get_shape());
 
     set_values(input_mem, in_data);
 
@@ -479,7 +479,7 @@ TEST(test_gather_non_zero, not_use_local_mem) {
     cldnn::mem_lock<int32_t> output_ptr(output, get_test_stream());
 
     std::vector<int32_t> expected_results(max_local_mem_size);
-    ngraph::runtime::reference::non_zero<float, int32_t>(in_data.data(), expected_results.data(), in_layout.get_shape());
+    ov::reference::non_zero<float, int32_t>(in_data.data(), expected_results.data(), in_layout.get_shape());
 
     for (size_t i = 0; i < expected_results.size(); ++i) {
         ASSERT_EQ(expected_results[i], output_ptr[i]);
diff --git a/src/plugins/intel_gpu/tests/unit/test_cases/scatter_nd_update_gpu_test.cpp b/src/plugins/intel_gpu/tests/unit/test_cases/scatter_nd_update_gpu_test.cpp
index c489c1fb86a..115aa700688 100644
--- a/src/plugins/intel_gpu/tests/unit/test_cases/scatter_nd_update_gpu_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/test_cases/scatter_nd_update_gpu_test.cpp
@@ -154,13 +154,13 @@ struct scatter_nd_update_random_test : testing::TestWithParam<scatter_nd_update_
         cldnn::mem_lock<T_size> outputs_ptr(output, get_test_stream());
 
         auto outputs_ref = std::vector<float>(params.input_size.count());
-        ngraph::runtime::reference::scatterNdUpdate<float, float>(input_data.data(),
-                                                                  indices_data.data(),
-                                                                  updates_data.data(),
-                                                                  outputs_ref.data(),
-                                                                  ov::Shape(input_vec.begin(), input_vec.end()),
-                                                                  ov::Shape(indices_vec.begin(), indices_vec.end()),
-                                                                  ov::Shape(updates_vec.begin(), updates_vec.end()));
+        ov::reference::scatterNdUpdate<float, float>(input_data.data(),
+                                                     indices_data.data(),
+                                                     updates_data.data(),
+                                                     outputs_ref.data(),
+                                                     ov::Shape(input_vec.begin(), input_vec.end()),
+                                                     ov::Shape(indices_vec.begin(), indices_vec.end()),
+                                                     ov::Shape(updates_vec.begin(), updates_vec.end()));
 
         for (size_t i = 0; i < outputs_ref.size(); ++i) {
             ASSERT_EQ(outputs_ref[i], half_to_float(outputs_ptr[i]));
@@ -224,13 +224,13 @@ struct scatter_nd_update_random_test : testing::TestWithParam<scatter_nd_update_
         cldnn::mem_lock<T> outputs_ptr(output, get_test_stream());
 
         auto outputs_ref = std::vector<T>(params.input_size.count());
-        ngraph::runtime::reference::scatterNdUpdate<T, T>(input_data.data(),
-                                                          indices_data.data(),
-                                                          updates_data.data(),
-                                                          outputs_ref.data(),
-                                                          ov::Shape(input_vec.begin(), input_vec.end()),
-                                                          ov::Shape(indices_vec.begin(), indices_vec.end()),
-                                                          ov::Shape(updates_vec.begin(), updates_vec.end()));
+        ov::reference::scatterNdUpdate<T, T>(input_data.data(),
+                                             indices_data.data(),
+                                             updates_data.data(),
+                                             outputs_ref.data(),
+                                             ov::Shape(input_vec.begin(), input_vec.end()),
+                                             ov::Shape(indices_vec.begin(), indices_vec.end()),
+                                             ov::Shape(updates_vec.begin(), updates_vec.end()));
 
         for (size_t i = 0; i < outputs_ref.size(); ++i) {
             ASSERT_EQ(outputs_ref[i], outputs_ptr[i]);
@@ -4486,13 +4486,13 @@ TEST(scatter_nd_update_gpu, dynamic_5d) {
                                ov::Shape updates_shape) -> std::vector<float> {
         size_t count = std::accumulate(input_shape.begin(), input_shape.end(), static_cast<size_t>(1), std::multiplies<size_t>());
         auto outputs_ref = std::vector<float>(count);
-        ngraph::runtime::reference::scatterNdUpdate<float, int32_t>(input.data(),
-                                                                    indices.data(),
-                                                                    updates.data(),
-                                                                    outputs_ref.data(),
-                                                                    input_shape,
-                                                                    indices_shape,
-                                                                    updates_shape);
+        ov::reference::scatterNdUpdate<float, int32_t>(input.data(),
+                                                       indices.data(),
+                                                       updates.data(),
+                                                       outputs_ref.data(),
+                                                       input_shape,
+                                                       indices_shape,
+                                                       updates_shape);
 
         return outputs_ref;
     };
diff --git a/src/plugins/template/backend/ops/abs.cpp b/src/plugins/template/backend/ops/abs.cpp
index b71fb5ebadc..b72163d1bb8 100644
--- a/src/plugins/template/backend/ops/abs.cpp
+++ b/src/plugins/template/backend/ops/abs.cpp
@@ -12,9 +12,9 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Abs>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::abs<T>(inputs[0]->get_data_ptr<T>(),
-                                       outputs[0]->get_data_ptr<T>(),
-                                       ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::abs<T>(inputs[0]->get_data_ptr<T>(),
+                          outputs[0]->get_data_ptr<T>(),
+                          ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/adaptive_avg_pool.cpp b/src/plugins/template/backend/ops/adaptive_avg_pool.cpp
index 7c9f888b120..789460103b9 100644
--- a/src/plugins/template/backend/ops/adaptive_avg_pool.cpp
+++ b/src/plugins/template/backend/ops/adaptive_avg_pool.cpp
@@ -11,10 +11,10 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::AdaptiveAvgPool>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::adaptive_avg_pool(inputs[0]->get_data_ptr<T>(),
-                                                  outputs[0]->get_data_ptr<T>(),
-                                                  inputs[0]->get_shape(),
-                                                  op->get_output_shape(0));
+    ov::reference::adaptive_avg_pool(inputs[0]->get_data_ptr<T>(),
+                                     outputs[0]->get_data_ptr<T>(),
+                                     inputs[0]->get_shape(),
+                                     op->get_output_shape(0));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/adaptive_max_pool.cpp b/src/plugins/template/backend/ops/adaptive_max_pool.cpp
index 03afdd840cd..e70fc9195a2 100644
--- a/src/plugins/template/backend/ops/adaptive_max_pool.cpp
+++ b/src/plugins/template/backend/ops/adaptive_max_pool.cpp
@@ -14,17 +14,17 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::AdaptiveMaxPool>& op,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
     if (op->get_index_element_type() == ngraph::element::i32) {
-        ngraph::runtime::reference::adaptive_max_pool(inputs[0]->get_data_ptr<T>(),
-                                                      outputs[0]->get_data_ptr<T>(),
-                                                      outputs[1]->get_data_ptr<int32_t>(),
-                                                      inputs[0]->get_shape(),
-                                                      op->get_output_shape(0));
+        ov::reference::adaptive_max_pool(inputs[0]->get_data_ptr<T>(),
+                                         outputs[0]->get_data_ptr<T>(),
+                                         outputs[1]->get_data_ptr<int32_t>(),
+                                         inputs[0]->get_shape(),
+                                         op->get_output_shape(0));
     } else if (op->get_index_element_type() == ngraph::element::i64) {
-        ngraph::runtime::reference::adaptive_max_pool(inputs[0]->get_data_ptr<T>(),
-                                                      outputs[0]->get_data_ptr<T>(),
-                                                      outputs[1]->get_data_ptr<int64_t>(),
-                                                      inputs[0]->get_shape(),
-                                                      op->get_output_shape(0));
+        ov::reference::adaptive_max_pool(inputs[0]->get_data_ptr<T>(),
+                                         outputs[0]->get_data_ptr<T>(),
+                                         outputs[1]->get_data_ptr<int64_t>(),
+                                         inputs[0]->get_shape(),
+                                         op->get_output_shape(0));
     }
     return true;
 }
diff --git a/src/plugins/template/backend/ops/avg_pool.cpp b/src/plugins/template/backend/ops/avg_pool.cpp
index 3fa7191a812..b6f3a6a9803 100644
--- a/src/plugins/template/backend/ops/avg_pool.cpp
+++ b/src/plugins/template/backend/ops/avg_pool.cpp
@@ -11,15 +11,15 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::AvgPool>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::avg_pool<T>(inputs[0]->get_data_ptr<T>(),
-                                            outputs[0]->get_data_ptr<T>(),
-                                            inputs[0]->get_shape(),
-                                            op->get_output_shape(0),
-                                            op->get_kernel(),
-                                            op->get_strides(),
-                                            op->get_pads_begin(),
-                                            op->get_pads_end(),
-                                            !op->get_exclude_pad());
+    ov::reference::avg_pool<T>(inputs[0]->get_data_ptr<T>(),
+                               outputs[0]->get_data_ptr<T>(),
+                               inputs[0]->get_shape(),
+                               op->get_output_shape(0),
+                               op->get_kernel(),
+                               op->get_strides(),
+                               op->get_pads_begin(),
+                               op->get_pads_end(),
+                               !op->get_exclude_pad());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/batch_norm.cpp b/src/plugins/template/backend/ops/batch_norm.cpp
index 50e977ab5fe..012fc449186 100644
--- a/src/plugins/template/backend/ops/batch_norm.cpp
+++ b/src/plugins/template/backend/ops/batch_norm.cpp
@@ -11,14 +11,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::BatchNormInference>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::batch_norm_inference<T>(static_cast<float>(op->get_eps_value()),
-                                                        inputs[2]->get_data_ptr<T>(),
-                                                        inputs[0]->get_data_ptr<T>(),
-                                                        inputs[1]->get_data_ptr<T>(),
-                                                        inputs[3]->get_data_ptr<T>(),
-                                                        inputs[4]->get_data_ptr<T>(),
-                                                        outputs[0]->get_data_ptr<T>(),
-                                                        inputs[2]->get_shape());
+    ov::reference::batch_norm_inference<T>(static_cast<float>(op->get_eps_value()),
+                                           inputs[2]->get_data_ptr<T>(),
+                                           inputs[0]->get_data_ptr<T>(),
+                                           inputs[1]->get_data_ptr<T>(),
+                                           inputs[3]->get_data_ptr<T>(),
+                                           inputs[4]->get_data_ptr<T>(),
+                                           outputs[0]->get_data_ptr<T>(),
+                                           inputs[2]->get_shape());
     return true;
 }
 
@@ -27,14 +27,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v5::BatchNormInference>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::batch_norm_inference<T>(static_cast<float>(static_cast<float>(op->get_eps_value())),
-                                                        inputs[0]->get_data_ptr<const T>(),
-                                                        inputs[1]->get_data_ptr<const T>(),
-                                                        inputs[2]->get_data_ptr<const T>(),
-                                                        inputs[3]->get_data_ptr<const T>(),
-                                                        inputs[4]->get_data_ptr<const T>(),
-                                                        outputs[0]->get_data_ptr<T>(),
-                                                        op->get_input_shape(0));
+    ov::reference::batch_norm_inference<T>(static_cast<float>(static_cast<float>(op->get_eps_value())),
+                                           inputs[0]->get_data_ptr<const T>(),
+                                           inputs[1]->get_data_ptr<const T>(),
+                                           inputs[2]->get_data_ptr<const T>(),
+                                           inputs[3]->get_data_ptr<const T>(),
+                                           inputs[4]->get_data_ptr<const T>(),
+                                           outputs[0]->get_data_ptr<T>(),
+                                           op->get_input_shape(0));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/binary_convolution.cpp b/src/plugins/template/backend/ops/binary_convolution.cpp
index 2ba068811fd..4b09df85a80 100644
--- a/src/plugins/template/backend/ops/binary_convolution.cpp
+++ b/src/plugins/template/backend/ops/binary_convolution.cpp
@@ -21,17 +21,17 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v1::BinaryConvolution>& o
     const auto filter_shape = inputs[1]->get_shape();
     const auto out_shape = outputs[0]->get_shape();
 
-    ngraph::runtime::reference::binary_convolution<T_IN, T_F>(in_data_ptr,
-                                                              filter_data_ptr,
-                                                              out_data_ptr,
-                                                              in_shape,
-                                                              filter_shape,
-                                                              out_shape,
-                                                              op->get_strides(),
-                                                              op->get_dilations(),
-                                                              op->get_pads_begin(),
-                                                              op->get_pads_end(),
-                                                              op->get_pad_value());
+    ov::reference::binary_convolution<T_IN, T_F>(in_data_ptr,
+                                                 filter_data_ptr,
+                                                 out_data_ptr,
+                                                 in_shape,
+                                                 filter_shape,
+                                                 out_shape,
+                                                 op->get_strides(),
+                                                 op->get_dilations(),
+                                                 op->get_pads_begin(),
+                                                 op->get_pads_end(),
+                                                 op->get_pad_value());
 }
 }  // namespace bin_conv_v1
 
diff --git a/src/plugins/template/backend/ops/bucketize.cpp b/src/plugins/template/backend/ops/bucketize.cpp
index 5252540d52e..b55f7cda250 100644
--- a/src/plugins/template/backend/ops/bucketize.cpp
+++ b/src/plugins/template/backend/ops/bucketize.cpp
@@ -15,12 +15,12 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v3::Bucketize>& op,
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
     using T3 = typename ngraph::element_type_traits<t3>::value_type;
 
-    ngraph::runtime::reference::bucketize<T1, T2, T3>(inputs[0]->get_data_ptr<T1>(),
-                                                      inputs[1]->get_data_ptr<T2>(),
-                                                      outputs[0]->get_data_ptr<T3>(),
-                                                      op->get_input_shape(0),
-                                                      op->get_input_shape(1),
-                                                      op->get_with_right_bound());
+    ov::reference::bucketize<T1, T2, T3>(inputs[0]->get_data_ptr<T1>(),
+                                         inputs[1]->get_data_ptr<T2>(),
+                                         outputs[0]->get_data_ptr<T3>(),
+                                         op->get_input_shape(0),
+                                         op->get_input_shape(1),
+                                         op->get_with_right_bound());
 }
 
 static inline constexpr uint16_t getElementMask(ngraph::element::Type_t type1, ngraph::element::Type_t type2) {
diff --git a/src/plugins/template/backend/ops/ceiling.cpp b/src/plugins/template/backend/ops/ceiling.cpp
index 0328d26a294..19c3127a43c 100644
--- a/src/plugins/template/backend/ops/ceiling.cpp
+++ b/src/plugins/template/backend/ops/ceiling.cpp
@@ -11,9 +11,9 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Ceiling>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::ceiling<T>(inputs[0]->get_data_ptr<T>(),
-                                           outputs[0]->get_data_ptr<T>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::ceiling<T>(inputs[0]->get_data_ptr<T>(),
+                              outputs[0]->get_data_ptr<T>(),
+                              ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/convert.cpp b/src/plugins/template/backend/ops/convert.cpp
index 23ed105059a..319818a5727 100644
--- a/src/plugins/template/backend/ops/convert.cpp
+++ b/src/plugins/template/backend/ops/convert.cpp
@@ -17,15 +17,13 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v1::ConvertLike>& op,
     if (((ti == ngraph::element::u1) || (to == ngraph::element::u1)) ||
         ((ti == ngraph::element::u4) || (to == ngraph::element::u4)) ||
         ((ti == ngraph::element::i4) || (to == ngraph::element::i4))) {
-        ngraph::runtime::reference::detail::lp_convert(inputs[0]->get_data_ptr<ti>(),
-                                                       outputs[0]->get_data_ptr<to>(),
-                                                       element_count,
-                                                       ti,
-                                                       to);
+        ov::reference::detail::lp_convert(inputs[0]->get_data_ptr<ti>(),
+                                          outputs[0]->get_data_ptr<to>(),
+                                          element_count,
+                                          ti,
+                                          to);
     } else {
-        ngraph::runtime::reference::convert(inputs[0]->get_data_ptr<ti>(),
-                                            outputs[0]->get_data_ptr<to>(),
-                                            element_count);
+        ov::reference::convert(inputs[0]->get_data_ptr<ti>(), outputs[0]->get_data_ptr<to>(), element_count);
     }
 }
 }  // namespace convert_like_v1
diff --git a/src/plugins/template/backend/ops/convert_color_nv12.cpp b/src/plugins/template/backend/ops/convert_color_nv12.cpp
index 0f925696644..3b9996da285 100644
--- a/src/plugins/template/backend/ops/convert_color_nv12.cpp
+++ b/src/plugins/template/backend/ops/convert_color_nv12.cpp
@@ -10,44 +10,40 @@ template <ov::element::Type_t ET>
 inline bool evaluate(const std::shared_ptr<ngraph::op::v8::NV12toRGB>& op,
                      const ngraph::HostTensorVector& outputs,
                      const ngraph::HostTensorVector& inputs) {
-    return ngraph::runtime::reference::color_convert_nv12<ET>(
-        op,
-        outputs,
-        inputs,
-        ov::op::util::ConvertColorNV12Base::ColorConversion::NV12_TO_RGB);
+    return ov::reference::color_convert_nv12<ET>(op,
+                                                 outputs,
+                                                 inputs,
+                                                 ov::op::util::ConvertColorNV12Base::ColorConversion::NV12_TO_RGB);
 }
 
 template <ov::element::Type_t ET>
 inline bool evaluate(const std::shared_ptr<ngraph::op::v8::NV12toBGR>& op,
                      const ngraph::HostTensorVector& outputs,
                      const ngraph::HostTensorVector& inputs) {
-    return ngraph::runtime::reference::color_convert_nv12<ET>(
-        op,
-        outputs,
-        inputs,
-        ov::op::util::ConvertColorNV12Base::ColorConversion::NV12_TO_BGR);
+    return ov::reference::color_convert_nv12<ET>(op,
+                                                 outputs,
+                                                 inputs,
+                                                 ov::op::util::ConvertColorNV12Base::ColorConversion::NV12_TO_BGR);
 }
 
 template <ov::element::Type_t ET>
 inline bool evaluate(const std::shared_ptr<ngraph::op::v8::I420toRGB>& op,
                      const ngraph::HostTensorVector& outputs,
                      const ngraph::HostTensorVector& inputs) {
-    return ngraph::runtime::reference::color_convert_i420<ET>(
-        op,
-        outputs,
-        inputs,
-        ov::op::util::ConvertColorI420Base::ColorConversion::I420_TO_RGB);
+    return ov::reference::color_convert_i420<ET>(op,
+                                                 outputs,
+                                                 inputs,
+                                                 ov::op::util::ConvertColorI420Base::ColorConversion::I420_TO_RGB);
 }
 
 template <ov::element::Type_t ET>
 inline bool evaluate(const std::shared_ptr<ngraph::op::v8::I420toBGR>& op,
                      const ngraph::HostTensorVector& outputs,
                      const ngraph::HostTensorVector& inputs) {
-    return ngraph::runtime::reference::color_convert_i420<ET>(
-        op,
-        outputs,
-        inputs,
-        ov::op::util::ConvertColorI420Base::ColorConversion::I420_TO_BGR);
+    return ov::reference::color_convert_i420<ET>(op,
+                                                 outputs,
+                                                 inputs,
+                                                 ov::op::util::ConvertColorI420Base::ColorConversion::I420_TO_BGR);
 }
 
 template <>
diff --git a/src/plugins/template/backend/ops/convolution.cpp b/src/plugins/template/backend/ops/convolution.cpp
index a8108354061..1af78054950 100644
--- a/src/plugins/template/backend/ops/convolution.cpp
+++ b/src/plugins/template/backend/ops/convolution.cpp
@@ -16,16 +16,16 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::Convolution>& op,
     const auto& out_shape = outputs[0]->get_shape();
     const auto& in_shape = inputs[0]->get_shape();
     const auto& filter_shape = inputs[1]->get_shape();
-    ngraph::runtime::reference::convolution<typename ngraph::element_type_traits<ET>::value_type>(in_data_ptr,
-                                                                                                  filter_data,
-                                                                                                  out_data_ptr,
-                                                                                                  in_shape,
-                                                                                                  filter_shape,
-                                                                                                  out_shape,
-                                                                                                  op->get_strides(),
-                                                                                                  op->get_dilations(),
-                                                                                                  op->get_pads_begin(),
-                                                                                                  op->get_pads_end());
+    ov::reference::convolution<typename ngraph::element_type_traits<ET>::value_type>(in_data_ptr,
+                                                                                     filter_data,
+                                                                                     out_data_ptr,
+                                                                                     in_shape,
+                                                                                     filter_shape,
+                                                                                     out_shape,
+                                                                                     op->get_strides(),
+                                                                                     op->get_dilations(),
+                                                                                     op->get_pads_begin(),
+                                                                                     op->get_pads_end());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/convolution_backprop_data.cpp b/src/plugins/template/backend/ops/convolution_backprop_data.cpp
index 0be67743941..e0d7d7aafcb 100644
--- a/src/plugins/template/backend/ops/convolution_backprop_data.cpp
+++ b/src/plugins/template/backend/ops/convolution_backprop_data.cpp
@@ -18,7 +18,7 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::ConvolutionBackpropData>& op
     const auto& filter_shape = inputs[1]->get_shape();
     ngraph::Strides in_dilation(std::vector<size_t>(in_shape.size() - 2));
     std::fill(in_dilation.begin(), in_dilation.end(), 1);
-    ngraph::runtime::reference::convolution_backprop_in<typename ngraph::element_type_traits<ET>::value_type>(
+    ov::reference::convolution_backprop_in<typename ngraph::element_type_traits<ET>::value_type>(
         in_data_ptr,
         filter_data,
         out_data_ptr,
diff --git a/src/plugins/template/backend/ops/ctc_greedy_decoder.cpp b/src/plugins/template/backend/ops/ctc_greedy_decoder.cpp
index 22e802f1b69..b0bbeffd5a0 100644
--- a/src/plugins/template/backend/ops/ctc_greedy_decoder.cpp
+++ b/src/plugins/template/backend/ops/ctc_greedy_decoder.cpp
@@ -11,13 +11,13 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::CTCGreedyDecoder>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::ctc_greedy_decoder<T>(inputs[0]->get_data_ptr<const T>(),
-                                                      inputs[1]->get_data_ptr<const T>(),
-                                                      outputs[0]->get_data_ptr<T>(),
-                                                      inputs[0]->get_shape(),
-                                                      inputs[1]->get_shape(),
-                                                      outputs[0]->get_shape(),
-                                                      op->get_ctc_merge_repeated());
+    ov::reference::ctc_greedy_decoder<T>(inputs[0]->get_data_ptr<const T>(),
+                                         inputs[1]->get_data_ptr<const T>(),
+                                         outputs[0]->get_data_ptr<T>(),
+                                         inputs[0]->get_shape(),
+                                         inputs[1]->get_shape(),
+                                         outputs[0]->get_shape(),
+                                         op->get_ctc_merge_repeated());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/ctc_greedy_decoder_seq_len.cpp b/src/plugins/template/backend/ops/ctc_greedy_decoder_seq_len.cpp
index cc876cba2b1..7cff484d99e 100644
--- a/src/plugins/template/backend/ops/ctc_greedy_decoder_seq_len.cpp
+++ b/src/plugins/template/backend/ops/ctc_greedy_decoder_seq_len.cpp
@@ -20,23 +20,23 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v6::CTCGreedyDecoderSeqLe
         blank_index = inputs[2]->get_data_ptr<const TI>();
     }
     if (op->get_sequence_length_type() == ngraph::element::i32) {
-        ngraph::runtime::reference::ctc_greedy_decoder_seq_len<TF>(inputs[0]->get_data_ptr<const TF>(),
-                                                                   inputs[1]->get_data_ptr<const TI>(),
-                                                                   blank_index,
-                                                                   outputs[0]->get_data_ptr<TIND1>(),
-                                                                   outputs[1]->get_data_ptr<int32_t>(),
-                                                                   inputs[0]->get_shape(),
-                                                                   outputs[0]->get_shape(),
-                                                                   op->get_merge_repeated());
+        ov::reference::ctc_greedy_decoder_seq_len<TF>(inputs[0]->get_data_ptr<const TF>(),
+                                                      inputs[1]->get_data_ptr<const TI>(),
+                                                      blank_index,
+                                                      outputs[0]->get_data_ptr<TIND1>(),
+                                                      outputs[1]->get_data_ptr<int32_t>(),
+                                                      inputs[0]->get_shape(),
+                                                      outputs[0]->get_shape(),
+                                                      op->get_merge_repeated());
     } else if (op->get_sequence_length_type() == ngraph::element::i64) {
-        ngraph::runtime::reference::ctc_greedy_decoder_seq_len<TF>(inputs[0]->get_data_ptr<const TF>(),
-                                                                   inputs[1]->get_data_ptr<const TI>(),
-                                                                   blank_index,
-                                                                   outputs[0]->get_data_ptr<TIND1>(),
-                                                                   outputs[1]->get_data_ptr<int64_t>(),
-                                                                   inputs[0]->get_shape(),
-                                                                   outputs[0]->get_shape(),
-                                                                   op->get_merge_repeated());
+        ov::reference::ctc_greedy_decoder_seq_len<TF>(inputs[0]->get_data_ptr<const TF>(),
+                                                      inputs[1]->get_data_ptr<const TI>(),
+                                                      blank_index,
+                                                      outputs[0]->get_data_ptr<TIND1>(),
+                                                      outputs[1]->get_data_ptr<int64_t>(),
+                                                      inputs[0]->get_shape(),
+                                                      outputs[0]->get_shape(),
+                                                      op->get_merge_repeated());
     }
 }
 }  // namespace ctc_greedy_decoder_v6
diff --git a/src/plugins/template/backend/ops/ctc_loss.cpp b/src/plugins/template/backend/ops/ctc_loss.cpp
index 37ac857486e..41b009be635 100644
--- a/src/plugins/template/backend/ops/ctc_loss.cpp
+++ b/src/plugins/template/backend/ops/ctc_loss.cpp
@@ -35,16 +35,16 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v4::CTCLoss>& op,
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::CTCLoss<T1, T2>(inputs[0]->get_data_ptr<T1>(),
-                                                inputs[0]->get_shape(),
-                                                inputs[1]->get_data_ptr<T2>(),
-                                                inputs[2]->get_data_ptr<T2>(),
-                                                inputs[3]->get_data_ptr<T2>(),
-                                                inputs[4]->get_data_ptr<T2>(),
-                                                op->get_preprocess_collapse_repeated(),
-                                                op->get_ctc_merge_repeated(),
-                                                op->get_unique(),
-                                                outputs[0]->get_data_ptr<T1>());
+    ov::reference::CTCLoss<T1, T2>(inputs[0]->get_data_ptr<T1>(),
+                                   inputs[0]->get_shape(),
+                                   inputs[1]->get_data_ptr<T2>(),
+                                   inputs[2]->get_data_ptr<T2>(),
+                                   inputs[3]->get_data_ptr<T2>(),
+                                   inputs[4]->get_data_ptr<T2>(),
+                                   op->get_preprocess_collapse_repeated(),
+                                   op->get_ctc_merge_repeated(),
+                                   op->get_unique(),
+                                   outputs[0]->get_data_ptr<T1>());
 }
 }  // namespace ctc_loss_v4
 
diff --git a/src/plugins/template/backend/ops/cum_sum.cpp b/src/plugins/template/backend/ops/cum_sum.cpp
index 87fabe4c222..a0d23e50563 100644
--- a/src/plugins/template/backend/ops/cum_sum.cpp
+++ b/src/plugins/template/backend/ops/cum_sum.cpp
@@ -14,12 +14,12 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v0::CumSum>& op,
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::cumsum<T1, T2>(inputs[0]->get_data_ptr<T1>(),
-                                               inputs[1]->get_data_ptr<T2>(),
-                                               outputs[0]->get_data_ptr<T1>(),
-                                               inputs[0]->get_shape(),
-                                               op->is_exclusive(),
-                                               op->is_reverse());
+    ov::reference::cumsum<T1, T2>(inputs[0]->get_data_ptr<T1>(),
+                                  inputs[1]->get_data_ptr<T2>(),
+                                  outputs[0]->get_data_ptr<T1>(),
+                                  inputs[0]->get_shape(),
+                                  op->is_exclusive(),
+                                  op->is_reverse());
 }
 }  // namespace cum_sum_v0
 
diff --git a/src/plugins/template/backend/ops/deformable_convolution.cpp b/src/plugins/template/backend/ops/deformable_convolution.cpp
index 2ba9f60ae29..d4b96062b84 100644
--- a/src/plugins/template/backend/ops/deformable_convolution.cpp
+++ b/src/plugins/template/backend/ops/deformable_convolution.cpp
@@ -19,7 +19,7 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::DeformableConvolution>& op,
     const auto& offset_shape = inputs[1]->get_shape();
     const auto& filter_shape = inputs[2]->get_shape();
     if (inputs.size() == 3) {
-        ngraph::runtime::reference::deformable_convolution<typename ngraph::element_type_traits<ET>::value_type>(
+        ov::reference::deformable_convolution<typename ngraph::element_type_traits<ET>::value_type>(
             in_data_ptr,
             offset_data_ptr,
             filter_data_ptr,
@@ -38,7 +38,7 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::DeformableConvolution>& op,
     } else {
         const auto mask_data_ptr = inputs[3]->get_data_ptr<ET>();
         const auto& mask_shape = inputs[3]->get_shape();
-        ngraph::runtime::reference::deformable_convolution<typename ngraph::element_type_traits<ET>::value_type>(
+        ov::reference::deformable_convolution<typename ngraph::element_type_traits<ET>::value_type>(
             in_data_ptr,
             offset_data_ptr,
             filter_data_ptr,
@@ -72,7 +72,7 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::DeformableConvolution>& op,
     const auto& in_shape = inputs[0]->get_shape();
     const auto& offset_shape = inputs[1]->get_shape();
     const auto& filter_shape = inputs[2]->get_shape();
-    ngraph::runtime::reference::deformable_convolution<typename ngraph::element_type_traits<ET>::value_type>(
+    ov::reference::deformable_convolution<typename ngraph::element_type_traits<ET>::value_type>(
         in_data_ptr,
         offset_data_ptr,
         filter_data_ptr,
diff --git a/src/plugins/template/backend/ops/deformable_psroi_pooling.cpp b/src/plugins/template/backend/ops/deformable_psroi_pooling.cpp
index e2e4d0e1ec5..78a0ed95612 100644
--- a/src/plugins/template/backend/ops/deformable_psroi_pooling.cpp
+++ b/src/plugins/template/backend/ops/deformable_psroi_pooling.cpp
@@ -20,35 +20,35 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::DeformablePSROIPooling>& op,
 
     const bool has_offset_intput = inputs.size() == 3;
     if (has_offset_intput) {
-        ngraph::runtime::reference::deformable_psroi_pooling<T>(inputs[0]->get_data_ptr<T>(),
-                                                                inputs[0]->get_shape(),
-                                                                inputs[1]->get_data_ptr<T>(),
-                                                                inputs[1]->get_shape(),
-                                                                inputs[2]->get_data_ptr<T>(),
-                                                                inputs[2]->get_shape(),
-                                                                outputs[0]->get_data_ptr<T>(),
-                                                                outputs[0]->get_shape(),
-                                                                op->get_mode(),
-                                                                op->get_spatial_scale(),
-                                                                op->get_spatial_bins_x(),
-                                                                op->get_spatial_bins_y(),
-                                                                op->get_trans_std(),
-                                                                op->get_part_size());
+        ov::reference::deformable_psroi_pooling<T>(inputs[0]->get_data_ptr<T>(),
+                                                   inputs[0]->get_shape(),
+                                                   inputs[1]->get_data_ptr<T>(),
+                                                   inputs[1]->get_shape(),
+                                                   inputs[2]->get_data_ptr<T>(),
+                                                   inputs[2]->get_shape(),
+                                                   outputs[0]->get_data_ptr<T>(),
+                                                   outputs[0]->get_shape(),
+                                                   op->get_mode(),
+                                                   op->get_spatial_scale(),
+                                                   op->get_spatial_bins_x(),
+                                                   op->get_spatial_bins_y(),
+                                                   op->get_trans_std(),
+                                                   op->get_part_size());
     } else {
-        ngraph::runtime::reference::deformable_psroi_pooling<T>(inputs[0]->get_data_ptr<T>(),
-                                                                inputs[0]->get_shape(),
-                                                                inputs[1]->get_data_ptr<T>(),
-                                                                inputs[1]->get_shape(),
-                                                                nullptr,
-                                                                ngraph::Shape(),
-                                                                outputs[0]->get_data_ptr<T>(),
-                                                                outputs[0]->get_shape(),
-                                                                op->get_mode(),
-                                                                op->get_spatial_scale(),
-                                                                op->get_spatial_bins_x(),
-                                                                op->get_spatial_bins_y(),
-                                                                op->get_trans_std(),
-                                                                op->get_part_size());
+        ov::reference::deformable_psroi_pooling<T>(inputs[0]->get_data_ptr<T>(),
+                                                   inputs[0]->get_shape(),
+                                                   inputs[1]->get_data_ptr<T>(),
+                                                   inputs[1]->get_shape(),
+                                                   nullptr,
+                                                   ngraph::Shape(),
+                                                   outputs[0]->get_data_ptr<T>(),
+                                                   outputs[0]->get_shape(),
+                                                   op->get_mode(),
+                                                   op->get_spatial_scale(),
+                                                   op->get_spatial_bins_x(),
+                                                   op->get_spatial_bins_y(),
+                                                   op->get_trans_std(),
+                                                   op->get_part_size());
     }
     return true;
 }
diff --git a/src/plugins/template/backend/ops/detection_output.cpp b/src/plugins/template/backend/ops/detection_output.cpp
index b3ed8745367..42ea79e14ab 100644
--- a/src/plugins/template/backend/ops/detection_output.cpp
+++ b/src/plugins/template/backend/ops/detection_output.cpp
@@ -11,11 +11,11 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::DetectionOutput>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::referenceDetectionOutput<T> refDetOut(op->get_attrs(),
-                                                                      op->get_input_shape(0),
-                                                                      op->get_input_shape(1),
-                                                                      op->get_input_shape(2),
-                                                                      op->get_output_shape(0));
+    ov::reference::referenceDetectionOutput<T> refDetOut(op->get_attrs(),
+                                                         op->get_input_shape(0),
+                                                         op->get_input_shape(1),
+                                                         op->get_input_shape(2),
+                                                         op->get_output_shape(0));
     if (op->get_input_size() == 3) {
         refDetOut.run(inputs[0]->get_data_ptr<const T>(),
                       inputs[1]->get_data_ptr<const T>(),
@@ -41,11 +41,11 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::DetectionOutput>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::referenceDetectionOutput<T> refDetOut(op->get_attrs(),
-                                                                      op->get_input_shape(0),
-                                                                      op->get_input_shape(1),
-                                                                      op->get_input_shape(2),
-                                                                      op->get_output_shape(0));
+    ov::reference::referenceDetectionOutput<T> refDetOut(op->get_attrs(),
+                                                         op->get_input_shape(0),
+                                                         op->get_input_shape(1),
+                                                         op->get_input_shape(2),
+                                                         op->get_output_shape(0));
     if (op->get_input_size() == 3) {
         refDetOut.run(inputs[0]->get_data_ptr<const T>(),
                       inputs[1]->get_data_ptr<const T>(),
diff --git a/src/plugins/template/backend/ops/einsum.cpp b/src/plugins/template/backend/ops/einsum.cpp
index 7eef0390980..70ac9c66be9 100644
--- a/src/plugins/template/backend/ops/einsum.cpp
+++ b/src/plugins/template/backend/ops/einsum.cpp
@@ -11,7 +11,7 @@ bool evaluate(const std::shared_ptr<ngraph::op::v7::Einsum>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     const auto equation = op->get_equation();
-    ngraph::runtime::reference::einsum(outputs, inputs, equation);
+    ov::reference::einsum(outputs, inputs, equation);
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/elu.cpp b/src/plugins/template/backend/ops/elu.cpp
index dcda6cb1374..3da9d8f8362 100644
--- a/src/plugins/template/backend/ops/elu.cpp
+++ b/src/plugins/template/backend/ops/elu.cpp
@@ -11,10 +11,10 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Elu>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::elu<T>(inputs[0]->get_data_ptr<T>(),
-                                       outputs[0]->get_data_ptr<T>(),
-                                       ngraph::shape_size(inputs[0]->get_shape()),
-                                       op->get_alpha());
+    ov::reference::elu<T>(inputs[0]->get_data_ptr<T>(),
+                          outputs[0]->get_data_ptr<T>(),
+                          ngraph::shape_size(inputs[0]->get_shape()),
+                          op->get_alpha());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/embedding_bag_offsets_sum.cpp b/src/plugins/template/backend/ops/embedding_bag_offsets_sum.cpp
index a16c2134d17..a58340a56b1 100644
--- a/src/plugins/template/backend/ops/embedding_bag_offsets_sum.cpp
+++ b/src/plugins/template/backend/ops/embedding_bag_offsets_sum.cpp
@@ -13,15 +13,14 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v3::EmbeddingBagOffsetsSu
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::embeddingBagOffsetsSum<T1, T2>(
-        inputs[0]->get_data_ptr<T1>(),
-        inputs[1]->get_data_ptr<T2>(),
-        inputs[2]->get_data_ptr<T2>(),
-        inputs.size() > 3 ? inputs[3]->get_data_ptr<T2>() : nullptr,
-        inputs.size() > 4 ? inputs[4]->get_data_ptr<T1>() : nullptr,
-        outputs[0]->get_data_ptr<T1>(),
-        ngraph::shape_size(inputs[1]->get_shape()),
-        outputs[0]->get_shape());
+    ov::reference::embeddingBagOffsetsSum<T1, T2>(inputs[0]->get_data_ptr<T1>(),
+                                                  inputs[1]->get_data_ptr<T2>(),
+                                                  inputs[2]->get_data_ptr<T2>(),
+                                                  inputs.size() > 3 ? inputs[3]->get_data_ptr<T2>() : nullptr,
+                                                  inputs.size() > 4 ? inputs[4]->get_data_ptr<T1>() : nullptr,
+                                                  outputs[0]->get_data_ptr<T1>(),
+                                                  ngraph::shape_size(inputs[1]->get_shape()),
+                                                  outputs[0]->get_shape());
 }
 }  // namespace embedding_bag_offsets_sum_v3
 
diff --git a/src/plugins/template/backend/ops/embedding_bag_packed_sum.cpp b/src/plugins/template/backend/ops/embedding_bag_packed_sum.cpp
index 71b15ef42eb..4a9e764bc8d 100644
--- a/src/plugins/template/backend/ops/embedding_bag_packed_sum.cpp
+++ b/src/plugins/template/backend/ops/embedding_bag_packed_sum.cpp
@@ -14,13 +14,12 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v3::EmbeddingBagPackedSum
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::embeddingBagPackedSum<T1, T2>(
-        inputs[0]->get_data_ptr<T1>(),
-        inputs[1]->get_data_ptr<T2>(),
-        inputs.size() > 2 ? inputs[2]->get_data_ptr<T1>() : nullptr,
-        outputs[0]->get_data_ptr<T1>(),
-        inputs[1]->get_shape(),
-        outputs[0]->get_shape());
+    ov::reference::embeddingBagPackedSum<T1, T2>(inputs[0]->get_data_ptr<T1>(),
+                                                 inputs[1]->get_data_ptr<T2>(),
+                                                 inputs.size() > 2 ? inputs[2]->get_data_ptr<T1>() : nullptr,
+                                                 outputs[0]->get_data_ptr<T1>(),
+                                                 inputs[1]->get_shape(),
+                                                 outputs[0]->get_shape());
 }
 }  // namespace embedding_bag_packed_sum_v3
 
diff --git a/src/plugins/template/backend/ops/embedding_segments_sum.cpp b/src/plugins/template/backend/ops/embedding_segments_sum.cpp
index 6267897f8a5..1d67090fd9c 100644
--- a/src/plugins/template/backend/ops/embedding_segments_sum.cpp
+++ b/src/plugins/template/backend/ops/embedding_segments_sum.cpp
@@ -13,16 +13,15 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v3::EmbeddingSegmentsSum>
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::embeddingSegmentsSum<T1, T2>(
-        inputs[0]->get_data_ptr<T1>(),
-        inputs[1]->get_data_ptr<T2>(),
-        inputs[2]->get_data_ptr<T2>(),
-        inputs.size() > 4 ? inputs[4]->get_data_ptr<T2>() : nullptr,
-        inputs.size() > 5 ? inputs[5]->get_data_ptr<T1>() : nullptr,
-        outputs[0]->get_data_ptr<T1>(),
-        inputs[0]->get_shape(),
-        inputs[1]->get_shape(),
-        outputs[0]->get_shape());
+    ov::reference::embeddingSegmentsSum<T1, T2>(inputs[0]->get_data_ptr<T1>(),
+                                                inputs[1]->get_data_ptr<T2>(),
+                                                inputs[2]->get_data_ptr<T2>(),
+                                                inputs.size() > 4 ? inputs[4]->get_data_ptr<T2>() : nullptr,
+                                                inputs.size() > 5 ? inputs[5]->get_data_ptr<T1>() : nullptr,
+                                                outputs[0]->get_data_ptr<T1>(),
+                                                inputs[0]->get_shape(),
+                                                inputs[1]->get_shape(),
+                                                outputs[0]->get_shape());
 }
 }  // namespace embedding_offsets_sum_v3
 
diff --git a/src/plugins/template/backend/ops/equal.cpp b/src/plugins/template/backend/ops/equal.cpp
index 10f2cbe7de7..a6773c15c8a 100644
--- a/src/plugins/template/backend/ops/equal.cpp
+++ b/src/plugins/template/backend/ops/equal.cpp
@@ -16,14 +16,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::Equal>& op,
     const auto in0_shape = inputs[0]->get_shape();
     const auto in1_shape = inputs[1]->get_shape();
     const auto broadcast_spec = op->get_autob();
-    ngraph::runtime::reference::equal<
-        typename ngraph::element_type_traits<ET>::value_type,
-        typename ngraph::element_type_traits<ngraph::element::Type_t::boolean>::value_type>(in0_data_ptr,
-                                                                                            in1_data_ptr,
-                                                                                            out_data_ptr,
-                                                                                            in0_shape,
-                                                                                            in1_shape,
-                                                                                            broadcast_spec);
+    ov::reference::equal<typename ngraph::element_type_traits<ET>::value_type,
+                         typename ngraph::element_type_traits<ngraph::element::Type_t::boolean>::value_type>(
+        in0_data_ptr,
+        in1_data_ptr,
+        out_data_ptr,
+        in0_shape,
+        in1_shape,
+        broadcast_spec);
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/exp.cpp b/src/plugins/template/backend/ops/exp.cpp
index 05fc2f56e17..4d3fd3402b5 100644
--- a/src/plugins/template/backend/ops/exp.cpp
+++ b/src/plugins/template/backend/ops/exp.cpp
@@ -11,9 +11,9 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Exp>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::exp<T>(inputs[0]->get_data_ptr<T>(),
-                                       outputs[0]->get_data_ptr<T>(),
-                                       ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::exp<T>(inputs[0]->get_data_ptr<T>(),
+                          outputs[0]->get_data_ptr<T>(),
+                          ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/experimental_detectron_detection_output.cpp b/src/plugins/template/backend/ops/experimental_detectron_detection_output.cpp
index 6657926577a..9c6199637c8 100644
--- a/src/plugins/template/backend/ops/experimental_detectron_detection_output.cpp
+++ b/src/plugins/template/backend/ops/experimental_detectron_detection_output.cpp
@@ -36,25 +36,25 @@ bool evaluate(const std::shared_ptr<ngraph::op::v6::ExperimentalDetectronDetecti
     outputs[2]->set_element_type(output_type);
     outputs[2]->set_shape(output_scores_shape);
 
-    ngraph::runtime::reference::experimental_detectron_detection_output(boxes_data.data(),
-                                                                        input_deltas_data.data(),
-                                                                        input_scores_data.data(),
-                                                                        input_im_info_data.data(),
-                                                                        attrs,
-                                                                        output_boxes.data(),
-                                                                        output_scores.data(),
-                                                                        output_classes.data());
+    ov::reference::experimental_detectron_detection_output(boxes_data.data(),
+                                                           input_deltas_data.data(),
+                                                           input_scores_data.data(),
+                                                           input_im_info_data.data(),
+                                                           attrs,
+                                                           output_boxes.data(),
+                                                           output_scores.data(),
+                                                           output_classes.data());
 
-    ngraph::runtime::reference::experimental_detectron_detection_output_postprocessing(outputs[0]->get_data_ptr(),
-                                                                                       outputs[1]->get_data_ptr(),
-                                                                                       outputs[2]->get_data_ptr(),
-                                                                                       output_type,
-                                                                                       output_boxes,
-                                                                                       output_classes,
-                                                                                       output_scores,
-                                                                                       output_boxes_shape,
-                                                                                       output_classes_shape,
-                                                                                       output_scores_shape);
+    ov::reference::experimental_detectron_detection_output_postprocessing(outputs[0]->get_data_ptr(),
+                                                                          outputs[1]->get_data_ptr(),
+                                                                          outputs[2]->get_data_ptr(),
+                                                                          output_type,
+                                                                          output_boxes,
+                                                                          output_classes,
+                                                                          output_scores,
+                                                                          output_boxes_shape,
+                                                                          output_classes_shape,
+                                                                          output_scores_shape);
 
     return true;
 }
diff --git a/src/plugins/template/backend/ops/experimental_detectron_prior_grid_generator.cpp b/src/plugins/template/backend/ops/experimental_detectron_prior_grid_generator.cpp
index 1c6e7ebf3bf..cff1eb49322 100644
--- a/src/plugins/template/backend/ops/experimental_detectron_prior_grid_generator.cpp
+++ b/src/plugins/template/backend/ops/experimental_detectron_prior_grid_generator.cpp
@@ -75,15 +75,15 @@ bool evaluate(const std::shared_ptr<ngraph::op::v6::ExperimentalDetectronPriorGr
 
     using T = typename ngraph::element_type_traits<ET>::value_type;
     outputs[0]->set_shape(info.output_shape);
-    ngraph::runtime::reference::experimental_detectron_prior_grid_generator<T>(inputs[0]->get_data_ptr<const T>(),
-                                                                               inputs[0]->get_shape(),
-                                                                               inputs[1]->get_shape(),
-                                                                               inputs[2]->get_shape(),
-                                                                               outputs[0]->get_data_ptr<T>(),
-                                                                               info.grid_h,
-                                                                               info.grid_w,
-                                                                               info.stride_h,
-                                                                               info.stride_w);
+    ov::reference::experimental_detectron_prior_grid_generator<T>(inputs[0]->get_data_ptr<const T>(),
+                                                                  inputs[0]->get_shape(),
+                                                                  inputs[1]->get_shape(),
+                                                                  inputs[2]->get_shape(),
+                                                                  outputs[0]->get_data_ptr<T>(),
+                                                                  info.grid_h,
+                                                                  info.grid_w,
+                                                                  info.stride_h,
+                                                                  info.stride_w);
 
     return true;
 }
diff --git a/src/plugins/template/backend/ops/experimental_detectron_proposal_single_image.cpp b/src/plugins/template/backend/ops/experimental_detectron_proposal_single_image.cpp
index e5608fc289c..df064504a28 100644
--- a/src/plugins/template/backend/ops/experimental_detectron_proposal_single_image.cpp
+++ b/src/plugins/template/backend/ops/experimental_detectron_proposal_single_image.cpp
@@ -45,24 +45,24 @@ bool evaluate(const std::shared_ptr<ngraph::op::v6::ExperimentalDetectronGenerat
     outputs[1]->set_element_type(output_type);
     outputs[1]->set_shape(output_scores_shape);
 
-    ngraph::runtime::reference::experimental_detectron_proposals_single_image(im_info_data.data(),
-                                                                              anchors_data.data(),
-                                                                              deltas_data.data(),
-                                                                              scores_data.data(),
-                                                                              attrs,
-                                                                              im_info_shape,
-                                                                              anchors_shape,
-                                                                              deltas_shape,
-                                                                              scores_shape,
-                                                                              output_rois.data(),
-                                                                              output_scores.data());
-    ngraph::runtime::reference::experimental_detectron_proposals_single_image_postprocessing(outputs[0]->get_data_ptr(),
-                                                                                             outputs[1]->get_data_ptr(),
-                                                                                             output_type,
-                                                                                             output_rois,
-                                                                                             output_scores,
-                                                                                             output_rois_shape,
-                                                                                             output_scores_shape);
+    ov::reference::experimental_detectron_proposals_single_image(im_info_data.data(),
+                                                                 anchors_data.data(),
+                                                                 deltas_data.data(),
+                                                                 scores_data.data(),
+                                                                 attrs,
+                                                                 im_info_shape,
+                                                                 anchors_shape,
+                                                                 deltas_shape,
+                                                                 scores_shape,
+                                                                 output_rois.data(),
+                                                                 output_scores.data());
+    ov::reference::experimental_detectron_proposals_single_image_postprocessing(outputs[0]->get_data_ptr(),
+                                                                                outputs[1]->get_data_ptr(),
+                                                                                output_type,
+                                                                                output_rois,
+                                                                                output_scores,
+                                                                                output_rois_shape,
+                                                                                output_scores_shape);
 
     return true;
 }
diff --git a/src/plugins/template/backend/ops/experimental_detectron_roi_feature_extractor.cpp b/src/plugins/template/backend/ops/experimental_detectron_roi_feature_extractor.cpp
index 7db3d3a6231..4aaac9f3815 100644
--- a/src/plugins/template/backend/ops/experimental_detectron_roi_feature_extractor.cpp
+++ b/src/plugins/template/backend/ops/experimental_detectron_roi_feature_extractor.cpp
@@ -65,19 +65,19 @@ bool evaluate(const std::shared_ptr<ngraph::op::v6::ExperimentalDetectronROIFeat
     std::vector<float> output_rois_features(ngraph::shape_size(output_rois_features_shape));
     std::vector<float> output_rois(ngraph::shape_size(output_rois_shape));
 
-    ngraph::runtime::reference::experimental_detectron_roi_feature_extractor(input_data,
-                                                                             input_shapes,
-                                                                             attrs,
-                                                                             output_rois_features.data(),
-                                                                             output_rois.data());
+    ov::reference::experimental_detectron_roi_feature_extractor(input_data,
+                                                                input_shapes,
+                                                                attrs,
+                                                                output_rois_features.data(),
+                                                                output_rois.data());
 
-    ngraph::runtime::reference::experimental_detectron_roi_feature_extractor_postprocessing(outputs[0]->get_data_ptr(),
-                                                                                            outputs[1]->get_data_ptr(),
-                                                                                            output_type,
-                                                                                            output_rois_features,
-                                                                                            output_rois,
-                                                                                            output_rois_features_shape,
-                                                                                            output_rois_shape);
+    ov::reference::experimental_detectron_roi_feature_extractor_postprocessing(outputs[0]->get_data_ptr(),
+                                                                               outputs[1]->get_data_ptr(),
+                                                                               output_type,
+                                                                               output_rois_features,
+                                                                               output_rois,
+                                                                               output_rois_features_shape,
+                                                                               output_rois_shape);
 
     return true;
 }
diff --git a/src/plugins/template/backend/ops/experimental_detectron_topk_rois.cpp b/src/plugins/template/backend/ops/experimental_detectron_topk_rois.cpp
index e33c631cf2e..cd03df2f38c 100644
--- a/src/plugins/template/backend/ops/experimental_detectron_topk_rois.cpp
+++ b/src/plugins/template/backend/ops/experimental_detectron_topk_rois.cpp
@@ -13,12 +13,12 @@ bool evaluate(const std::shared_ptr<ngraph::op::v6::ExperimentalDetectronTopKROI
     using T = typename ngraph::element_type_traits<ET>::value_type;
     size_t max_rois = op->get_max_rois();
     outputs[0]->set_shape(ngraph::Shape{max_rois, 4});
-    ngraph::runtime::reference::experimental_detectron_topk_rois<T>(inputs[0]->get_data_ptr<const T>(),
-                                                                    inputs[1]->get_data_ptr<const T>(),
-                                                                    inputs[0]->get_shape(),
-                                                                    inputs[1]->get_shape(),
-                                                                    max_rois,
-                                                                    outputs[0]->get_data_ptr<T>());
+    ov::reference::experimental_detectron_topk_rois<T>(inputs[0]->get_data_ptr<const T>(),
+                                                       inputs[1]->get_data_ptr<const T>(),
+                                                       inputs[0]->get_shape(),
+                                                       inputs[1]->get_shape(),
+                                                       max_rois,
+                                                       outputs[0]->get_data_ptr<T>());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/extract_image_patches.cpp b/src/plugins/template/backend/ops/extract_image_patches.cpp
index a4e43db96da..d78a21e984b 100644
--- a/src/plugins/template/backend/ops/extract_image_patches.cpp
+++ b/src/plugins/template/backend/ops/extract_image_patches.cpp
@@ -11,11 +11,11 @@ bool evaluate(const std::shared_ptr<ngraph::op::v3::ExtractImagePatches>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::extract_image_patches<T>(op,
-                                                         inputs[0]->get_data_ptr<T>(),
-                                                         outputs[0]->get_data_ptr<T>(),
-                                                         inputs[0]->get_shape(),
-                                                         outputs[0]->get_shape());
+    ov::reference::extract_image_patches<T>(op,
+                                            inputs[0]->get_data_ptr<T>(),
+                                            outputs[0]->get_data_ptr<T>(),
+                                            inputs[0]->get_shape(),
+                                            outputs[0]->get_shape());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/fft.cpp b/src/plugins/template/backend/ops/fft.cpp
index 1b920b42497..db4620270fa 100644
--- a/src/plugins/template/backend/ops/fft.cpp
+++ b/src/plugins/template/backend/ops/fft.cpp
@@ -28,9 +28,8 @@ InfoForFFT7 get_info_for_fft7_eval(const std::vector<std::shared_ptr<ngraph::Hos
 
     int64_t input_rank = static_cast<int64_t>(result.input_data_shape.size());
     int64_t complex_data_rank = input_rank - 1;
-    auto canonicalized_axes = ngraph::runtime::reference::canonicalize_axes(result.axes_data.data(),
-                                                                            result.axes_data_shape,
-                                                                            complex_data_rank);
+    auto canonicalized_axes =
+        ov::reference::canonicalize_axes(result.axes_data.data(), result.axes_data_shape, complex_data_rank);
 
     size_t num_of_axes = result.axes_data.size();
     auto signal_size = get_signal_size(inputs, num_of_axes);
@@ -57,16 +56,16 @@ bool evaluate(const std::shared_ptr<ngraph::op::v7::DFT>& op,
     outputs[0]->set_shape(info.output_shape);
 
     std::vector<float> fft_result(ngraph::shape_size(info.output_shape), 0.0f);
-    ngraph::runtime::reference::fft(info.input_data.data(),
-                                    info.input_data_shape,
-                                    info.axes_data.data(),
-                                    info.axes_data_shape,
-                                    fft_result.data(),
-                                    info.output_shape,
-                                    ngraph::runtime::reference::FFTKind::Forward);
+    ov::reference::fft(info.input_data.data(),
+                       info.input_data_shape,
+                       info.axes_data.data(),
+                       info.axes_data_shape,
+                       fft_result.data(),
+                       info.output_shape,
+                       ov::reference::FFTKind::Forward);
 
     const auto output_type = op->get_input_element_type(0);
-    ngraph::runtime::reference::fft_postprocessing(outputs, output_type, fft_result);
+    ov::reference::fft_postprocessing(outputs, output_type, fft_result);
     return true;
 }
 
@@ -78,16 +77,16 @@ bool evaluate(const std::shared_ptr<ngraph::op::v7::IDFT>& op,
     outputs[0]->set_shape(info.output_shape);
 
     std::vector<float> fft_result(ngraph::shape_size(info.output_shape), 0.0f);
-    ngraph::runtime::reference::fft(info.input_data.data(),
-                                    info.input_data_shape,
-                                    info.axes_data.data(),
-                                    info.axes_data_shape,
-                                    fft_result.data(),
-                                    info.output_shape,
-                                    ngraph::runtime::reference::FFTKind::Inverse);
+    ov::reference::fft(info.input_data.data(),
+                       info.input_data_shape,
+                       info.axes_data.data(),
+                       info.axes_data_shape,
+                       fft_result.data(),
+                       info.output_shape,
+                       ov::reference::FFTKind::Inverse);
 
     const auto output_type = op->get_input_element_type(0);
-    ngraph::runtime::reference::fft_postprocessing(outputs, output_type, fft_result);
+    ov::reference::fft_postprocessing(outputs, output_type, fft_result);
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/gather.cpp b/src/plugins/template/backend/ops/gather.cpp
index ee209f2b745..9bb9799dc0d 100644
--- a/src/plugins/template/backend/ops/gather.cpp
+++ b/src/plugins/template/backend/ops/gather.cpp
@@ -12,23 +12,23 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::Gather>& op,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
     if (op->get_input_element_type(1) == ngraph::element::i64) {
-        ngraph::runtime::reference::gather<T, int64_t>(inputs[0]->get_data_ptr<T>(),
-                                                       inputs[1]->get_data_ptr<int64_t>(),
-                                                       outputs[0]->get_data_ptr<T>(),
-                                                       op->get_input_shape(0),
-                                                       op->get_input_shape(1),
-                                                       op->get_output_shape(0),
-                                                       op->get_axis(),
-                                                       op->get_batch_dims());
+        ov::reference::gather<T, int64_t>(inputs[0]->get_data_ptr<T>(),
+                                          inputs[1]->get_data_ptr<int64_t>(),
+                                          outputs[0]->get_data_ptr<T>(),
+                                          op->get_input_shape(0),
+                                          op->get_input_shape(1),
+                                          op->get_output_shape(0),
+                                          op->get_axis(),
+                                          op->get_batch_dims());
     } else if (op->get_input_element_type(1) == ngraph::element::i32) {
-        ngraph::runtime::reference::gather<T, int32_t>(inputs[0]->get_data_ptr<T>(),
-                                                       inputs[1]->get_data_ptr<int32_t>(),
-                                                       outputs[0]->get_data_ptr<T>(),
-                                                       op->get_input_shape(0),
-                                                       op->get_input_shape(1),
-                                                       op->get_output_shape(0),
-                                                       op->get_axis(),
-                                                       op->get_batch_dims());
+        ov::reference::gather<T, int32_t>(inputs[0]->get_data_ptr<T>(),
+                                          inputs[1]->get_data_ptr<int32_t>(),
+                                          outputs[0]->get_data_ptr<T>(),
+                                          op->get_input_shape(0),
+                                          op->get_input_shape(1),
+                                          op->get_output_shape(0),
+                                          op->get_axis(),
+                                          op->get_batch_dims());
     } else {
         OPENVINO_THROW("Unexpected indices type for Gather operation");
     }
diff --git a/src/plugins/template/backend/ops/gather_elements.cpp b/src/plugins/template/backend/ops/gather_elements.cpp
index b0ef056d57a..9c7ac6e892c 100644
--- a/src/plugins/template/backend/ops/gather_elements.cpp
+++ b/src/plugins/template/backend/ops/gather_elements.cpp
@@ -17,21 +17,21 @@ bool evaluate(const std::shared_ptr<ngraph::op::v6::GatherElements>& op,
     outputs[0]->set_shape(indices_shape);
 
     if (inputs[1]->get_element_type() == ngraph::element::i64) {
-        ngraph::runtime::reference::gather_elements<T, int64_t>(inputs[0]->get_data_ptr<ET>(),
-                                                                inputs[1]->get_data_ptr<int64_t>(),
-                                                                outputs[0]->get_data_ptr<ET>(),
-                                                                inputs[0]->get_shape(),
-                                                                inputs[1]->get_shape(),
-                                                                outputs[0]->get_shape(),
-                                                                op->get_axis());
+        ov::reference::gather_elements<T, int64_t>(inputs[0]->get_data_ptr<ET>(),
+                                                   inputs[1]->get_data_ptr<int64_t>(),
+                                                   outputs[0]->get_data_ptr<ET>(),
+                                                   inputs[0]->get_shape(),
+                                                   inputs[1]->get_shape(),
+                                                   outputs[0]->get_shape(),
+                                                   op->get_axis());
     } else if (inputs[1]->get_element_type() == ngraph::element::i32) {
-        ngraph::runtime::reference::gather_elements<T, int32_t>(inputs[0]->get_data_ptr<ET>(),
-                                                                inputs[1]->get_data_ptr<int32_t>(),
-                                                                outputs[0]->get_data_ptr<ET>(),
-                                                                inputs[0]->get_shape(),
-                                                                inputs[1]->get_shape(),
-                                                                outputs[0]->get_shape(),
-                                                                op->get_axis());
+        ov::reference::gather_elements<T, int32_t>(inputs[0]->get_data_ptr<ET>(),
+                                                   inputs[1]->get_data_ptr<int32_t>(),
+                                                   outputs[0]->get_data_ptr<ET>(),
+                                                   inputs[0]->get_shape(),
+                                                   inputs[1]->get_shape(),
+                                                   outputs[0]->get_shape(),
+                                                   op->get_axis());
     } else {
         OPENVINO_THROW("Unexpected indices type");
     }
diff --git a/src/plugins/template/backend/ops/gather_nd.cpp b/src/plugins/template/backend/ops/gather_nd.cpp
index 2cb22deec74..97127a297d2 100644
--- a/src/plugins/template/backend/ops/gather_nd.cpp
+++ b/src/plugins/template/backend/ops/gather_nd.cpp
@@ -12,21 +12,21 @@ bool evaluate(const std::shared_ptr<ngraph::op::v5::GatherND>& op,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
     if (op->get_input_element_type(1) == ngraph::element::i64) {
-        ngraph::runtime::reference::gather_nd<T, int64_t>(inputs[0]->get_data_ptr<T>(),
-                                                          inputs[1]->get_data_ptr<int64_t>(),
-                                                          outputs[0]->get_data_ptr<T>(),
-                                                          inputs[0]->get_shape(),
-                                                          inputs[1]->get_shape(),
-                                                          outputs[0]->get_shape(),
-                                                          static_cast<int>(op->get_batch_dims()));
+        ov::reference::gather_nd<T, int64_t>(inputs[0]->get_data_ptr<T>(),
+                                             inputs[1]->get_data_ptr<int64_t>(),
+                                             outputs[0]->get_data_ptr<T>(),
+                                             inputs[0]->get_shape(),
+                                             inputs[1]->get_shape(),
+                                             outputs[0]->get_shape(),
+                                             static_cast<int>(op->get_batch_dims()));
     } else if (op->get_input_element_type(1) == ngraph::element::i32) {
-        ngraph::runtime::reference::gather_nd<T, int32_t>(inputs[0]->get_data_ptr<T>(),
-                                                          inputs[1]->get_data_ptr<int32_t>(),
-                                                          outputs[0]->get_data_ptr<T>(),
-                                                          inputs[0]->get_shape(),
-                                                          inputs[1]->get_shape(),
-                                                          outputs[0]->get_shape(),
-                                                          static_cast<int>(op->get_batch_dims()));
+        ov::reference::gather_nd<T, int32_t>(inputs[0]->get_data_ptr<T>(),
+                                             inputs[1]->get_data_ptr<int32_t>(),
+                                             outputs[0]->get_data_ptr<T>(),
+                                             inputs[0]->get_shape(),
+                                             inputs[1]->get_shape(),
+                                             outputs[0]->get_shape(),
+                                             static_cast<int>(op->get_batch_dims()));
     } else {
         OPENVINO_THROW("Unexpected indices type for GatherND operation");
     }
@@ -39,21 +39,21 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::GatherND>& op,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
     if (op->get_input_element_type(1) == ngraph::element::i64) {
-        ngraph::runtime::reference::gather_nd<T, int64_t>(inputs[0]->get_data_ptr<T>(),
-                                                          inputs[1]->get_data_ptr<int64_t>(),
-                                                          outputs[0]->get_data_ptr<T>(),
-                                                          inputs[0]->get_shape(),
-                                                          inputs[1]->get_shape(),
-                                                          outputs[0]->get_shape(),
-                                                          static_cast<int>(op->get_batch_dims()));
+        ov::reference::gather_nd<T, int64_t>(inputs[0]->get_data_ptr<T>(),
+                                             inputs[1]->get_data_ptr<int64_t>(),
+                                             outputs[0]->get_data_ptr<T>(),
+                                             inputs[0]->get_shape(),
+                                             inputs[1]->get_shape(),
+                                             outputs[0]->get_shape(),
+                                             static_cast<int>(op->get_batch_dims()));
     } else if (op->get_input_element_type(1) == ngraph::element::i32) {
-        ngraph::runtime::reference::gather_nd<T, int32_t>(inputs[0]->get_data_ptr<T>(),
-                                                          inputs[1]->get_data_ptr<int32_t>(),
-                                                          outputs[0]->get_data_ptr<T>(),
-                                                          inputs[0]->get_shape(),
-                                                          inputs[1]->get_shape(),
-                                                          outputs[0]->get_shape(),
-                                                          static_cast<int>(op->get_batch_dims()));
+        ov::reference::gather_nd<T, int32_t>(inputs[0]->get_data_ptr<T>(),
+                                             inputs[1]->get_data_ptr<int32_t>(),
+                                             outputs[0]->get_data_ptr<T>(),
+                                             inputs[0]->get_shape(),
+                                             inputs[1]->get_shape(),
+                                             outputs[0]->get_shape(),
+                                             static_cast<int>(op->get_batch_dims()));
     } else {
         OPENVINO_THROW("Unexpected indices type for GatherND operation");
     }
diff --git a/src/plugins/template/backend/ops/gather_tree.cpp b/src/plugins/template/backend/ops/gather_tree.cpp
index ee09ea58db6..1aec9368d7c 100644
--- a/src/plugins/template/backend/ops/gather_tree.cpp
+++ b/src/plugins/template/backend/ops/gather_tree.cpp
@@ -10,16 +10,16 @@ template <ngraph::element::Type_t ET>
 bool evaluate(const std::shared_ptr<ngraph::op::v1::GatherTree>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
-    ngraph::runtime::reference::gather_tree(inputs[0]->get_data_ptr<const char>(),
-                                            inputs[1]->get_data_ptr<const char>(),
-                                            inputs[2]->get_data_ptr<const char>(),
-                                            inputs[3]->get_data_ptr<const char>(),
-                                            outputs[0]->get_data_ptr<char>(),
-                                            op->get_input_shape(0),
-                                            op->get_input_shape(1),
-                                            op->get_input_shape(2),
-                                            op->get_input_shape(3),
-                                            inputs[1]->get_element_type());
+    ov::reference::gather_tree(inputs[0]->get_data_ptr<const char>(),
+                               inputs[1]->get_data_ptr<const char>(),
+                               inputs[2]->get_data_ptr<const char>(),
+                               inputs[3]->get_data_ptr<const char>(),
+                               outputs[0]->get_data_ptr<char>(),
+                               op->get_input_shape(0),
+                               op->get_input_shape(1),
+                               op->get_input_shape(2),
+                               op->get_input_shape(3),
+                               inputs[1]->get_element_type());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/gelu.cpp b/src/plugins/template/backend/ops/gelu.cpp
index 04c59206fdc..0b994fedca4 100644
--- a/src/plugins/template/backend/ops/gelu.cpp
+++ b/src/plugins/template/backend/ops/gelu.cpp
@@ -11,10 +11,10 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Gelu>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::gelu<T>(inputs[0]->get_data_ptr<T>(),
-                                        outputs[0]->get_data_ptr<T>(),
-                                        ngraph::op::GeluApproximationMode::ERF,
-                                        ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::gelu<T>(inputs[0]->get_data_ptr<T>(),
+                           outputs[0]->get_data_ptr<T>(),
+                           ngraph::op::GeluApproximationMode::ERF,
+                           ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
@@ -23,10 +23,10 @@ bool evaluate(const std::shared_ptr<ngraph::op::v7::Gelu>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::gelu<T>(inputs[0]->get_data_ptr<T>(),
-                                        outputs[0]->get_data_ptr<T>(),
-                                        op->get_approximation_mode(),
-                                        ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::gelu<T>(inputs[0]->get_data_ptr<T>(),
+                           outputs[0]->get_data_ptr<T>(),
+                           op->get_approximation_mode(),
+                           ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/generate_proposal.cpp b/src/plugins/template/backend/ops/generate_proposal.cpp
index 811463f2e66..53571e113e9 100644
--- a/src/plugins/template/backend/ops/generate_proposal.cpp
+++ b/src/plugins/template/backend/ops/generate_proposal.cpp
@@ -35,18 +35,18 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::GenerateProposals>& op,
     std::vector<float> output_scores;
     std::vector<int64_t> output_num;
 
-    ngraph::runtime::reference::generate_proposals(im_info_data,
-                                                   anchors_data,
-                                                   deltas_data,
-                                                   scores_data,
-                                                   attrs,
-                                                   im_info_shape,
-                                                   anchors_shape,
-                                                   deltas_shape,
-                                                   scores_shape,
-                                                   output_rois,
-                                                   output_scores,
-                                                   output_num);
+    ov::reference::generate_proposals(im_info_data,
+                                      anchors_data,
+                                      deltas_data,
+                                      scores_data,
+                                      attrs,
+                                      im_info_shape,
+                                      anchors_shape,
+                                      deltas_shape,
+                                      scores_shape,
+                                      output_rois,
+                                      output_scores,
+                                      output_num);
 
     size_t num_selected = static_cast<size_t>(std::accumulate(output_num.begin(), output_num.end(), 0));
 
@@ -63,16 +63,16 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::GenerateProposals>& op,
     outputs[2]->set_element_type(roi_num_type);
     outputs[2]->set_shape(output_roi_num_shape);
 
-    ngraph::runtime::reference::generate_proposals_postprocessing(outputs[0]->get_data_ptr(),
-                                                                  outputs[1]->get_data_ptr(),
-                                                                  outputs[2]->get_data_ptr(),
-                                                                  output_type,
-                                                                  roi_num_type,
-                                                                  output_rois,
-                                                                  output_scores,
-                                                                  output_num,
-                                                                  output_rois_shape,
-                                                                  output_scores_shape);
+    ov::reference::generate_proposals_postprocessing(outputs[0]->get_data_ptr(),
+                                                     outputs[1]->get_data_ptr(),
+                                                     outputs[2]->get_data_ptr(),
+                                                     output_type,
+                                                     roi_num_type,
+                                                     output_rois,
+                                                     output_scores,
+                                                     output_num,
+                                                     output_rois_shape,
+                                                     output_scores_shape);
 
     return true;
 }
diff --git a/src/plugins/template/backend/ops/greater.cpp b/src/plugins/template/backend/ops/greater.cpp
index c20db3d024d..6df8f4c73e3 100644
--- a/src/plugins/template/backend/ops/greater.cpp
+++ b/src/plugins/template/backend/ops/greater.cpp
@@ -16,14 +16,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::Greater>& op,
     const auto in0_shape = inputs[0]->get_shape();
     const auto in1_shape = inputs[1]->get_shape();
     const auto broadcast_spec = op->get_autob();
-    ngraph::runtime::reference::greater<
-        typename ngraph::element_type_traits<ET>::value_type,
-        typename ngraph::element_type_traits<ngraph::element::Type_t::boolean>::value_type>(in0_data_ptr,
-                                                                                            in1_data_ptr,
-                                                                                            out_data_ptr,
-                                                                                            in0_shape,
-                                                                                            in1_shape,
-                                                                                            broadcast_spec);
+    ov::reference::greater<typename ngraph::element_type_traits<ET>::value_type,
+                           typename ngraph::element_type_traits<ngraph::element::Type_t::boolean>::value_type>(
+        in0_data_ptr,
+        in1_data_ptr,
+        out_data_ptr,
+        in0_shape,
+        in1_shape,
+        broadcast_spec);
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/grid_sample.cpp b/src/plugins/template/backend/ops/grid_sample.cpp
index bd84b0aac83..20e74f5699a 100644
--- a/src/plugins/template/backend/ops/grid_sample.cpp
+++ b/src/plugins/template/backend/ops/grid_sample.cpp
@@ -14,14 +14,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::GridSample>& op,
     ngraph::element::Type grid_et = op->get_input_element_type(1);
     switch (grid_et) {
     case ngraph::element::Type_t::f32:
-        ngraph::runtime::reference::grid_sample(outputs[0]->get_data_ptr<DATA_ET>(),
-                                                inputs[0]->get_data_ptr<DATA_ET>(),
-                                                inputs[1]->get_data_ptr<ngraph::element::Type_t::f32>(),
-                                                inputs[0]->get_shape(),
-                                                inputs[1]->get_shape(),
-                                                attributes.align_corners,
-                                                attributes.mode,
-                                                attributes.padding_mode);
+        ov::reference::grid_sample(outputs[0]->get_data_ptr<DATA_ET>(),
+                                   inputs[0]->get_data_ptr<DATA_ET>(),
+                                   inputs[1]->get_data_ptr<ngraph::element::Type_t::f32>(),
+                                   inputs[0]->get_shape(),
+                                   inputs[1]->get_shape(),
+                                   attributes.align_corners,
+                                   attributes.mode,
+                                   attributes.padding_mode);
         break;
     default:
         return false;
diff --git a/src/plugins/template/backend/ops/grn.cpp b/src/plugins/template/backend/ops/grn.cpp
index 2429752b68f..74a5fceaa23 100644
--- a/src/plugins/template/backend/ops/grn.cpp
+++ b/src/plugins/template/backend/ops/grn.cpp
@@ -11,10 +11,10 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::GRN>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::grn<T>(inputs[0]->get_data_ptr<ET>(),
-                                       outputs[0]->get_data_ptr<ET>(),
-                                       op->get_bias(),
-                                       inputs[0]->get_shape());
+    ov::reference::grn<T>(inputs[0]->get_data_ptr<ET>(),
+                          outputs[0]->get_data_ptr<ET>(),
+                          op->get_bias(),
+                          inputs[0]->get_shape());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/group_convolution.cpp b/src/plugins/template/backend/ops/group_convolution.cpp
index 0993cf6816c..6dc851171d2 100644
--- a/src/plugins/template/backend/ops/group_convolution.cpp
+++ b/src/plugins/template/backend/ops/group_convolution.cpp
@@ -16,17 +16,16 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::GroupConvolution>& op,
     const auto& out_shape = outputs[0]->get_shape();
     const auto& in_shape = inputs[0]->get_shape();
     const auto& filter_shape = inputs[1]->get_shape();
-    ngraph::runtime::reference::group_convolution<typename ngraph::element_type_traits<ET>::value_type>(
-        in_data_ptr,
-        filter_data,
-        out_data_ptr,
-        in_shape,
-        filter_shape,
-        out_shape,
-        op->get_strides(),
-        op->get_dilations(),
-        op->get_pads_begin(),
-        op->get_pads_end());
+    ov::reference::group_convolution<typename ngraph::element_type_traits<ET>::value_type>(in_data_ptr,
+                                                                                           filter_data,
+                                                                                           out_data_ptr,
+                                                                                           in_shape,
+                                                                                           filter_shape,
+                                                                                           out_shape,
+                                                                                           op->get_strides(),
+                                                                                           op->get_dilations(),
+                                                                                           op->get_pads_begin(),
+                                                                                           op->get_pads_end());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/group_convolution_backprop_data.cpp b/src/plugins/template/backend/ops/group_convolution_backprop_data.cpp
index d09d219e389..ec58d1efdb8 100644
--- a/src/plugins/template/backend/ops/group_convolution_backprop_data.cpp
+++ b/src/plugins/template/backend/ops/group_convolution_backprop_data.cpp
@@ -16,7 +16,7 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::GroupConvolutionBackpropData
     const auto in_shape = inputs[0]->get_shape();
     const auto filter_shape = inputs[1]->get_shape();
     const auto out_shape = outputs[0]->get_shape();
-    ngraph::runtime::reference::group_convolution_backprop_data<typename ngraph::element_type_traits<ET>::value_type>(
+    ov::reference::group_convolution_backprop_data<typename ngraph::element_type_traits<ET>::value_type>(
         in_data_ptr,
         filter_data_ptr,
         out_data_ptr,
diff --git a/src/plugins/template/backend/ops/gru_cell.cpp b/src/plugins/template/backend/ops/gru_cell.cpp
index 28579fbe807..b34b5ea9459 100644
--- a/src/plugins/template/backend/ops/gru_cell.cpp
+++ b/src/plugins/template/backend/ops/gru_cell.cpp
@@ -12,21 +12,21 @@ bool evaluate(const std::shared_ptr<ngraph::op::v3::GRUCell>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::gru_cell<T>(inputs[0]->get_data_ptr<ET>(),
-                                            inputs[0]->get_shape(),
-                                            inputs[1]->get_data_ptr<ET>(),
-                                            inputs[1]->get_shape(),
-                                            inputs[2]->get_data_ptr<ET>(),
-                                            inputs[2]->get_shape(),
-                                            inputs[3]->get_data_ptr<ET>(),
-                                            inputs[3]->get_shape(),
-                                            inputs[4]->get_data_ptr<ET>(),
-                                            inputs[4]->get_shape(),
-                                            outputs[0]->get_data_ptr<ET>(),
-                                            op->get_activations()[0],
-                                            op->get_activations()[1],
-                                            op->get_clip(),
-                                            op->get_linear_before_reset());
+    ov::reference::gru_cell<T>(inputs[0]->get_data_ptr<ET>(),
+                               inputs[0]->get_shape(),
+                               inputs[1]->get_data_ptr<ET>(),
+                               inputs[1]->get_shape(),
+                               inputs[2]->get_data_ptr<ET>(),
+                               inputs[2]->get_shape(),
+                               inputs[3]->get_data_ptr<ET>(),
+                               inputs[3]->get_shape(),
+                               inputs[4]->get_data_ptr<ET>(),
+                               inputs[4]->get_shape(),
+                               outputs[0]->get_data_ptr<ET>(),
+                               op->get_activations()[0],
+                               op->get_activations()[1],
+                               op->get_clip(),
+                               op->get_linear_before_reset());
     return true;
 }
 
@@ -35,22 +35,22 @@ bool evaluate(const std::shared_ptr<ov::op::internal::AUGRUCell>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::gru_cell<T>(inputs[0]->get_data_ptr<ET>(),
-                                            inputs[0]->get_shape(),
-                                            inputs[1]->get_data_ptr<ET>(),
-                                            inputs[1]->get_shape(),
-                                            inputs[2]->get_data_ptr<ET>(),
-                                            inputs[2]->get_shape(),
-                                            inputs[3]->get_data_ptr<ET>(),
-                                            inputs[3]->get_shape(),
-                                            inputs[4]->get_data_ptr<ET>(),
-                                            inputs[4]->get_shape(),
-                                            outputs[0]->get_data_ptr<ET>(),
-                                            op->get_activations()[0],
-                                            op->get_activations()[1],
-                                            op->get_clip(),
-                                            op->get_linear_before_reset(),
-                                            inputs[5]->get_data_ptr<ET>());
+    ov::reference::gru_cell<T>(inputs[0]->get_data_ptr<ET>(),
+                               inputs[0]->get_shape(),
+                               inputs[1]->get_data_ptr<ET>(),
+                               inputs[1]->get_shape(),
+                               inputs[2]->get_data_ptr<ET>(),
+                               inputs[2]->get_shape(),
+                               inputs[3]->get_data_ptr<ET>(),
+                               inputs[3]->get_shape(),
+                               inputs[4]->get_data_ptr<ET>(),
+                               inputs[4]->get_shape(),
+                               outputs[0]->get_data_ptr<ET>(),
+                               op->get_activations()[0],
+                               op->get_activations()[1],
+                               op->get_clip(),
+                               op->get_linear_before_reset(),
+                               inputs[5]->get_data_ptr<ET>());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/hard_sigmoid.cpp b/src/plugins/template/backend/ops/hard_sigmoid.cpp
index 8f238660502..9cf2a16f5da 100644
--- a/src/plugins/template/backend/ops/hard_sigmoid.cpp
+++ b/src/plugins/template/backend/ops/hard_sigmoid.cpp
@@ -12,11 +12,11 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::HardSigmoid>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::hard_sigmoid<T>(inputs[0]->get_data_ptr<T>(),
-                                                inputs[1]->get_data_ptr<const T>()[0],
-                                                inputs[2]->get_data_ptr<const T>()[0],
-                                                outputs[0]->get_data_ptr<T>(),
-                                                ngraph::shape_size(outputs[0]->get_shape()));
+    ov::reference::hard_sigmoid<T>(inputs[0]->get_data_ptr<T>(),
+                                   inputs[1]->get_data_ptr<const T>()[0],
+                                   inputs[2]->get_data_ptr<const T>()[0],
+                                   outputs[0]->get_data_ptr<T>(),
+                                   ngraph::shape_size(outputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/if.cpp b/src/plugins/template/backend/ops/if.cpp
index 07ad281f3e6..df93652d103 100644
--- a/src/plugins/template/backend/ops/if.cpp
+++ b/src/plugins/template/backend/ops/if.cpp
@@ -163,7 +163,7 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::If>& op,
         out_descs.emplace_back(op->get_output_descriptions(static_cast<int>(i)));
     }
     try {
-        ngraph::runtime::reference::if_reference(bodies, out_descs, in_descs, outputs, inputs);
+        ov::reference::if_reference(bodies, out_descs, in_descs, outputs, inputs);
     } catch (...) {
         if_op::if_reference(bodies, out_descs, in_descs, outputs, inputs);
     }
diff --git a/src/plugins/template/backend/ops/interpolate.cpp b/src/plugins/template/backend/ops/interpolate.cpp
index cbd1e71bc9d..c2f760c0052 100644
--- a/src/plugins/template/backend/ops/interpolate.cpp
+++ b/src/plugins/template/backend/ops/interpolate.cpp
@@ -14,32 +14,32 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Interpolate>& op,
     ngraph::element::Type input_et = op->get_input_element_type(0);
     switch (input_et) {
     case ngraph::element::Type_t::f64:
-        ngraph::runtime::reference::interpolate<double>(inputs[0]->get_data_ptr<double>(),
-                                                        op->get_input_partial_shape(0),
-                                                        outputs[0]->get_data_ptr<double>(),
-                                                        op->get_output_shape(0),
-                                                        op->get_attrs());
+        ov::reference::interpolate<double>(inputs[0]->get_data_ptr<double>(),
+                                           op->get_input_partial_shape(0),
+                                           outputs[0]->get_data_ptr<double>(),
+                                           op->get_output_shape(0),
+                                           op->get_attrs());
         break;
     case ngraph::element::Type_t::f32:
-        ngraph::runtime::reference::interpolate<float>(inputs[0]->get_data_ptr<float>(),
-                                                       op->get_input_partial_shape(0),
-                                                       outputs[0]->get_data_ptr<float>(),
-                                                       op->get_output_shape(0),
-                                                       op->get_attrs());
+        ov::reference::interpolate<float>(inputs[0]->get_data_ptr<float>(),
+                                          op->get_input_partial_shape(0),
+                                          outputs[0]->get_data_ptr<float>(),
+                                          op->get_output_shape(0),
+                                          op->get_attrs());
         break;
     case ngraph::element::Type_t::f16:
-        ngraph::runtime::reference::interpolate<ngraph::float16>(inputs[0]->get_data_ptr<ngraph::float16>(),
-                                                                 op->get_input_partial_shape(0),
-                                                                 outputs[0]->get_data_ptr<ngraph::float16>(),
-                                                                 op->get_output_shape(0),
-                                                                 op->get_attrs());
+        ov::reference::interpolate<ngraph::float16>(inputs[0]->get_data_ptr<ngraph::float16>(),
+                                                    op->get_input_partial_shape(0),
+                                                    outputs[0]->get_data_ptr<ngraph::float16>(),
+                                                    op->get_output_shape(0),
+                                                    op->get_attrs());
         break;
     case ngraph::element::Type_t::bf16:
-        ngraph::runtime::reference::interpolate<ngraph::bfloat16>(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
-                                                                  op->get_input_partial_shape(0),
-                                                                  outputs[0]->get_data_ptr<ngraph::bfloat16>(),
-                                                                  op->get_output_shape(0),
-                                                                  op->get_attrs());
+        ov::reference::interpolate<ngraph::bfloat16>(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
+                                                     op->get_input_partial_shape(0),
+                                                     outputs[0]->get_data_ptr<ngraph::bfloat16>(),
+                                                     op->get_output_shape(0),
+                                                     op->get_attrs());
         break;
     default:;
     }
@@ -209,8 +209,8 @@ static void pad_input_data(const uint8_t* data_ptr,
                            const ov::Shape& padded_input_shape,
                            const std::vector<size_t>& pads_begin) {
     NGRAPH_SUPPRESS_DEPRECATED_START
-    ngraph::CoordinateTransform input_transform(input_shape);
-    ngraph::CoordinateTransform padded_transform(padded_input_shape);
+    ov::CoordinateTransform input_transform(input_shape);
+    ov::CoordinateTransform padded_transform(padded_input_shape);
 
     for (const ngraph::Coordinate& input_coord : input_transform) {
         auto padded_coord = input_coord;
@@ -278,58 +278,58 @@ bool evaluate_interpolate(const std::shared_ptr<ov::op::v11::Interpolate>& op,
 
     switch (input_et) {
     case element::Type_t::f32:
-        ngraph::runtime::reference::interpolate<float>(reinterpret_cast<float*>(padded_data_ptr),
-                                                       padded_input_shape,
-                                                       scales,
-                                                       axes,
-                                                       outputs[0]->get_data_ptr<float>(),
-                                                       out_shape,
-                                                       m_attrs);
+        ov::reference::interpolate<float>(reinterpret_cast<float*>(padded_data_ptr),
+                                          padded_input_shape,
+                                          scales,
+                                          axes,
+                                          outputs[0]->get_data_ptr<float>(),
+                                          out_shape,
+                                          m_attrs);
         break;
     case element::Type_t::bf16:
-        ngraph::runtime::reference::interpolate<bfloat16>(reinterpret_cast<bfloat16*>(padded_data_ptr),
-                                                          padded_input_shape,
-                                                          scales,
-                                                          axes,
-                                                          outputs[0]->get_data_ptr<bfloat16>(),
-                                                          out_shape,
-                                                          m_attrs);
+        ov::reference::interpolate<bfloat16>(reinterpret_cast<bfloat16*>(padded_data_ptr),
+                                             padded_input_shape,
+                                             scales,
+                                             axes,
+                                             outputs[0]->get_data_ptr<bfloat16>(),
+                                             out_shape,
+                                             m_attrs);
         break;
     case element::Type_t::f16:
-        ngraph::runtime::reference::interpolate<float16>(reinterpret_cast<float16*>(padded_data_ptr),
-                                                         padded_input_shape,
-                                                         scales,
-                                                         axes,
-                                                         outputs[0]->get_data_ptr<float16>(),
-                                                         out_shape,
-                                                         m_attrs);
+        ov::reference::interpolate<float16>(reinterpret_cast<float16*>(padded_data_ptr),
+                                            padded_input_shape,
+                                            scales,
+                                            axes,
+                                            outputs[0]->get_data_ptr<float16>(),
+                                            out_shape,
+                                            m_attrs);
         break;
     case element::Type_t::u8:
-        ngraph::runtime::reference::interpolate<uint8_t>(reinterpret_cast<uint8_t*>(padded_data_ptr),
-                                                         padded_input_shape,
-                                                         scales,
-                                                         axes,
-                                                         outputs[0]->get_data_ptr<uint8_t>(),
-                                                         out_shape,
-                                                         m_attrs);
+        ov::reference::interpolate<uint8_t>(reinterpret_cast<uint8_t*>(padded_data_ptr),
+                                            padded_input_shape,
+                                            scales,
+                                            axes,
+                                            outputs[0]->get_data_ptr<uint8_t>(),
+                                            out_shape,
+                                            m_attrs);
         break;
     case element::Type_t::i8:
-        ngraph::runtime::reference::interpolate<int8_t>(reinterpret_cast<int8_t*>(padded_data_ptr),
-                                                        padded_input_shape,
-                                                        scales,
-                                                        axes,
-                                                        outputs[0]->get_data_ptr<int8_t>(),
-                                                        out_shape,
-                                                        m_attrs);
+        ov::reference::interpolate<int8_t>(reinterpret_cast<int8_t*>(padded_data_ptr),
+                                           padded_input_shape,
+                                           scales,
+                                           axes,
+                                           outputs[0]->get_data_ptr<int8_t>(),
+                                           out_shape,
+                                           m_attrs);
         break;
     case element::Type_t::i32:
-        ngraph::runtime::reference::interpolate<int32_t>(reinterpret_cast<int32_t*>(padded_data_ptr),
-                                                         padded_input_shape,
-                                                         scales,
-                                                         axes,
-                                                         outputs[0]->get_data_ptr<int32_t>(),
-                                                         out_shape,
-                                                         m_attrs);
+        ov::reference::interpolate<int32_t>(reinterpret_cast<int32_t*>(padded_data_ptr),
+                                            padded_input_shape,
+                                            scales,
+                                            axes,
+                                            outputs[0]->get_data_ptr<int32_t>(),
+                                            out_shape,
+                                            m_attrs);
         break;
     default:;
     }
diff --git a/src/plugins/template/backend/ops/irdft.cpp b/src/plugins/template/backend/ops/irdft.cpp
index c46c74d6b99..65a6093a2fd 100644
--- a/src/plugins/template/backend/ops/irdft.cpp
+++ b/src/plugins/template/backend/ops/irdft.cpp
@@ -32,9 +32,8 @@ InfoForIRFFT9 get_info_for_irfft9_eval(const std::vector<std::shared_ptr<ngraph:
 
     int64_t input_rank = static_cast<int64_t>(result.input_data_shape.size());
     int64_t complex_data_rank = input_rank - 1;
-    auto canonicalized_axes = ngraph::runtime::reference::canonicalize_axes(result.axes_data.data(),
-                                                                            result.axes_data_shape,
-                                                                            complex_data_rank);
+    auto canonicalized_axes =
+        ov::reference::canonicalize_axes(result.axes_data.data(), result.axes_data_shape, complex_data_rank);
 
     size_t num_of_axes = result.axes_data.size();
     auto signal_size = get_signal_size(inputs, num_of_axes);
@@ -73,16 +72,16 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::IRDFT>& op,
     outputs[0]->set_shape(info.output_shape);
 
     std::vector<float> irfft_result(ngraph::shape_size(info.output_shape), 0.0f);
-    ngraph::runtime::reference::irdft(info.input_data,
-                                      info.input_data_shape,
-                                      info.axes_data,
-                                      irfft_result.data(),
-                                      info.fft_output_shape,
-                                      info.output_shape,
-                                      info.last_signal_size);
+    ov::reference::irdft(info.input_data,
+                         info.input_data_shape,
+                         info.axes_data,
+                         irfft_result.data(),
+                         info.fft_output_shape,
+                         info.output_shape,
+                         info.last_signal_size);
 
     const auto output_type = op->get_input_element_type(0);
-    ngraph::runtime::reference::fft_postprocessing(outputs, output_type, irfft_result);
+    ov::reference::fft_postprocessing(outputs, output_type, irfft_result);
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/is_finite.cpp b/src/plugins/template/backend/ops/is_finite.cpp
index a8c5331a87a..2ec4826a50b 100644
--- a/src/plugins/template/backend/ops/is_finite.cpp
+++ b/src/plugins/template/backend/ops/is_finite.cpp
@@ -14,26 +14,24 @@ bool evaluate(const std::shared_ptr<ngraph::op::v10::IsFinite>& op,
     ngraph::element::Type input_et = op->get_input_element_type(0);
     switch (input_et) {
     case ngraph::element::Type_t::f64:
-        ngraph::runtime::reference::is_finite<double>(inputs[0]->get_data_ptr<double>(),
-                                                      outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                                      ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::is_finite<double>(inputs[0]->get_data_ptr<double>(),
+                                         outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                                         ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::f32:
-        ngraph::runtime::reference::is_finite<float>(inputs[0]->get_data_ptr<float>(),
-                                                     outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                                     ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::is_finite<float>(inputs[0]->get_data_ptr<float>(),
+                                        outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                                        ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::f16:
-        ngraph::runtime::reference::is_finite<ngraph::float16>(
-            inputs[0]->get_data_ptr<ngraph::float16>(),
-            outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-            ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::is_finite<ngraph::float16>(inputs[0]->get_data_ptr<ngraph::float16>(),
+                                                  outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                                                  ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::bf16:
-        ngraph::runtime::reference::is_finite<ngraph::bfloat16>(
-            inputs[0]->get_data_ptr<ngraph::bfloat16>(),
-            outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-            ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::is_finite<ngraph::bfloat16>(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
+                                                   outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                                                   ngraph::shape_size(inputs[0]->get_shape()));
         break;
     default:
         return false;
diff --git a/src/plugins/template/backend/ops/is_inf.cpp b/src/plugins/template/backend/ops/is_inf.cpp
index 44556fb18dc..4509ced2544 100644
--- a/src/plugins/template/backend/ops/is_inf.cpp
+++ b/src/plugins/template/backend/ops/is_inf.cpp
@@ -14,28 +14,28 @@ bool evaluate(const std::shared_ptr<ngraph::op::v10::IsInf>& op,
     ngraph::element::Type input_et = op->get_input_element_type(0);
     switch (input_et) {
     case ngraph::element::Type_t::f64:
-        ngraph::runtime::reference::is_inf(inputs[0]->get_data_ptr<double>(),
-                                           outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()),
-                                           op->get_attributes());
+        ov::reference::is_inf(inputs[0]->get_data_ptr<double>(),
+                              outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                              ngraph::shape_size(inputs[0]->get_shape()),
+                              op->get_attributes());
         break;
     case ngraph::element::Type_t::f32:
-        ngraph::runtime::reference::is_inf(inputs[0]->get_data_ptr<float>(),
-                                           outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()),
-                                           op->get_attributes());
+        ov::reference::is_inf(inputs[0]->get_data_ptr<float>(),
+                              outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                              ngraph::shape_size(inputs[0]->get_shape()),
+                              op->get_attributes());
         break;
     case ngraph::element::Type_t::f16:
-        ngraph::runtime::reference::is_inf(inputs[0]->get_data_ptr<ngraph::float16>(),
-                                           outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()),
-                                           op->get_attributes());
+        ov::reference::is_inf(inputs[0]->get_data_ptr<ngraph::float16>(),
+                              outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                              ngraph::shape_size(inputs[0]->get_shape()),
+                              op->get_attributes());
         break;
     case ngraph::element::Type_t::bf16:
-        ngraph::runtime::reference::is_inf(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
-                                           outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()),
-                                           op->get_attributes());
+        ov::reference::is_inf(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
+                              outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                              ngraph::shape_size(inputs[0]->get_shape()),
+                              op->get_attributes());
         break;
     default:
         return false;
diff --git a/src/plugins/template/backend/ops/is_nan.cpp b/src/plugins/template/backend/ops/is_nan.cpp
index ab3f9b4fa51..87ba4c34328 100644
--- a/src/plugins/template/backend/ops/is_nan.cpp
+++ b/src/plugins/template/backend/ops/is_nan.cpp
@@ -14,24 +14,24 @@ bool evaluate(const std::shared_ptr<ngraph::op::v10::IsNaN>& op,
     ngraph::element::Type input_et = op->get_input_element_type(0);
     switch (input_et) {
     case ngraph::element::Type_t::f64:
-        ngraph::runtime::reference::is_nan(inputs[0]->get_data_ptr<double>(),
-                                           outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::is_nan(inputs[0]->get_data_ptr<double>(),
+                              outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                              ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::f32:
-        ngraph::runtime::reference::is_nan(inputs[0]->get_data_ptr<float>(),
-                                           outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::is_nan(inputs[0]->get_data_ptr<float>(),
+                              outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                              ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::f16:
-        ngraph::runtime::reference::is_nan(inputs[0]->get_data_ptr<ngraph::float16>(),
-                                           outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::is_nan(inputs[0]->get_data_ptr<ngraph::float16>(),
+                              outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                              ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::bf16:
-        ngraph::runtime::reference::is_nan(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
-                                           outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::is_nan(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
+                              outputs[0]->get_data_ptr<ngraph::element::Type_t::boolean>(),
+                              ngraph::shape_size(inputs[0]->get_shape()));
         break;
     default:
         return false;
diff --git a/src/plugins/template/backend/ops/log.cpp b/src/plugins/template/backend/ops/log.cpp
index b3bd2a77ce5..c6b988dc66a 100644
--- a/src/plugins/template/backend/ops/log.cpp
+++ b/src/plugins/template/backend/ops/log.cpp
@@ -11,9 +11,9 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Log>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::log<T>(inputs[0]->get_data_ptr<T>(),
-                                       outputs[0]->get_data_ptr<T>(),
-                                       ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::log<T>(inputs[0]->get_data_ptr<T>(),
+                          outputs[0]->get_data_ptr<T>(),
+                          ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/log_softmax.cpp b/src/plugins/template/backend/ops/log_softmax.cpp
index 93586209661..415171d1db6 100644
--- a/src/plugins/template/backend/ops/log_softmax.cpp
+++ b/src/plugins/template/backend/ops/log_softmax.cpp
@@ -15,10 +15,10 @@ bool evaluate(const std::shared_ptr<ngraph::op::v5::LogSoftmax>& op,
     if (i_axis < 0) {
         i_axis += inputs[0]->get_partial_shape().rank().get_length();
     }
-    ngraph::runtime::reference::log_softmax<T>(inputs[0]->get_data_ptr<const T>(),
-                                               outputs[0]->get_data_ptr<T>(),
-                                               op->get_output_shape(0),
-                                               ngraph::AxisSet{(size_t)i_axis});
+    ov::reference::log_softmax<T>(inputs[0]->get_data_ptr<const T>(),
+                                  outputs[0]->get_data_ptr<T>(),
+                                  op->get_output_shape(0),
+                                  ngraph::AxisSet{(size_t)i_axis});
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/lrn.cpp b/src/plugins/template/backend/ops/lrn.cpp
index 82514f59a4f..5522a695bea 100644
--- a/src/plugins/template/backend/ops/lrn.cpp
+++ b/src/plugins/template/backend/ops/lrn.cpp
@@ -11,14 +11,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::LRN>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::lrn<T>(inputs[0]->get_data_ptr<ET>(),
-                                       op->get_reduction_axes(),
-                                       outputs[0]->get_data_ptr<ET>(),
-                                       inputs[0]->get_shape(),
-                                       op->get_alpha(),
-                                       op->get_beta(),
-                                       op->get_bias(),
-                                       op->get_nsize());
+    ov::reference::lrn<T>(inputs[0]->get_data_ptr<ET>(),
+                          op->get_reduction_axes(),
+                          outputs[0]->get_data_ptr<ET>(),
+                          inputs[0]->get_shape(),
+                          op->get_alpha(),
+                          op->get_beta(),
+                          op->get_bias(),
+                          op->get_nsize());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/lstm_cell.cpp b/src/plugins/template/backend/ops/lstm_cell.cpp
index 7fc186ec8c2..12f81d29a26 100644
--- a/src/plugins/template/backend/ops/lstm_cell.cpp
+++ b/src/plugins/template/backend/ops/lstm_cell.cpp
@@ -12,24 +12,24 @@ bool evaluate(const std::shared_ptr<ngraph::op::v4::LSTMCell>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::lstm_cell<T>(inputs[0]->get_data_ptr<ET>(),
-                                             inputs[0]->get_shape(),
-                                             inputs[1]->get_data_ptr<ET>(),
-                                             inputs[1]->get_shape(),
-                                             inputs[2]->get_data_ptr<ET>(),
-                                             inputs[2]->get_shape(),
-                                             inputs[3]->get_data_ptr<ET>(),
-                                             inputs[3]->get_shape(),
-                                             inputs[4]->get_data_ptr<ET>(),
-                                             inputs[4]->get_shape(),
-                                             inputs[5]->get_data_ptr<ET>(),
-                                             inputs[5]->get_shape(),
-                                             outputs[0]->get_data_ptr<ET>(),
-                                             outputs[1]->get_data_ptr<ET>(),
-                                             op->get_activations()[0],
-                                             op->get_activations()[1],
-                                             op->get_activations()[2],
-                                             op->get_clip());
+    ov::reference::lstm_cell<T>(inputs[0]->get_data_ptr<ET>(),
+                                inputs[0]->get_shape(),
+                                inputs[1]->get_data_ptr<ET>(),
+                                inputs[1]->get_shape(),
+                                inputs[2]->get_data_ptr<ET>(),
+                                inputs[2]->get_shape(),
+                                inputs[3]->get_data_ptr<ET>(),
+                                inputs[3]->get_shape(),
+                                inputs[4]->get_data_ptr<ET>(),
+                                inputs[4]->get_shape(),
+                                inputs[5]->get_data_ptr<ET>(),
+                                inputs[5]->get_shape(),
+                                outputs[0]->get_data_ptr<ET>(),
+                                outputs[1]->get_data_ptr<ET>(),
+                                op->get_activations()[0],
+                                op->get_activations()[1],
+                                op->get_activations()[2],
+                                op->get_clip());
     return true;
 }
 
@@ -38,28 +38,28 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::LSTMCell>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::lstm_cell_v1<T>(inputs[0]->get_data_ptr<ET>(),
-                                                inputs[0]->get_shape(),
-                                                inputs[1]->get_data_ptr<ET>(),
-                                                inputs[1]->get_shape(),
-                                                inputs[2]->get_data_ptr<ET>(),
-                                                inputs[2]->get_shape(),
-                                                inputs[3]->get_data_ptr<ET>(),
-                                                inputs[3]->get_shape(),
-                                                inputs[4]->get_data_ptr<ET>(),
-                                                inputs[4]->get_shape(),
-                                                inputs[5]->get_data_ptr<ET>(),
-                                                inputs[5]->get_shape(),
-                                                inputs[6]->get_data_ptr<ET>(),
-                                                inputs[6]->get_shape(),
-                                                outputs[0]->get_data_ptr<ET>(),
-                                                outputs[1]->get_data_ptr<ET>(),
-                                                op->get_activations()[0],
-                                                op->get_activations()[1],
-                                                op->get_activations()[2],
-                                                op->get_clip(),
-                                                op->get_weights_format(),
-                                                op->get_input_forget());
+    ov::reference::lstm_cell_v1<T>(inputs[0]->get_data_ptr<ET>(),
+                                   inputs[0]->get_shape(),
+                                   inputs[1]->get_data_ptr<ET>(),
+                                   inputs[1]->get_shape(),
+                                   inputs[2]->get_data_ptr<ET>(),
+                                   inputs[2]->get_shape(),
+                                   inputs[3]->get_data_ptr<ET>(),
+                                   inputs[3]->get_shape(),
+                                   inputs[4]->get_data_ptr<ET>(),
+                                   inputs[4]->get_shape(),
+                                   inputs[5]->get_data_ptr<ET>(),
+                                   inputs[5]->get_shape(),
+                                   inputs[6]->get_data_ptr<ET>(),
+                                   inputs[6]->get_shape(),
+                                   outputs[0]->get_data_ptr<ET>(),
+                                   outputs[1]->get_data_ptr<ET>(),
+                                   op->get_activations()[0],
+                                   op->get_activations()[1],
+                                   op->get_activations()[2],
+                                   op->get_clip(),
+                                   op->get_weights_format(),
+                                   op->get_input_forget());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/matrix_nms.cpp b/src/plugins/template/backend/ops/matrix_nms.cpp
index 8fcf4f9517d..3e13c542ec4 100644
--- a/src/plugins/template/backend/ops/matrix_nms.cpp
+++ b/src/plugins/template/backend/ops/matrix_nms.cpp
@@ -100,16 +100,16 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::MatrixNms>& op,
     std::vector<int64_t> selected_indices(info.selected_indices_shape_size);
     std::vector<int64_t> valid_outputs(info.boxes_shape[0]);
 
-    ngraph::runtime::reference::matrix_nms(info.boxes_data.data(),
-                                           info.boxes_shape,
-                                           info.scores_data.data(),
-                                           info.scores_shape,
-                                           op->get_attrs(),
-                                           selected_outputs.data(),
-                                           info.selected_outputs_shape,
-                                           selected_indices.data(),
-                                           info.selected_indices_shape,
-                                           valid_outputs.data());
+    ov::reference::matrix_nms(info.boxes_data.data(),
+                              info.boxes_shape,
+                              info.scores_data.data(),
+                              info.scores_shape,
+                              op->get_attrs(),
+                              selected_outputs.data(),
+                              info.selected_outputs_shape,
+                              selected_indices.data(),
+                              info.selected_indices_shape,
+                              valid_outputs.data());
 
     void* pscores = nullptr;
     void* pselected_num = nullptr;
@@ -127,14 +127,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::MatrixNms>& op,
         pselected_num = outputs[2]->get_data_ptr();
     }
 
-    ngraph::runtime::reference::nms_common::nms_common_postprocessing(prois,
-                                                                      pscores,
-                                                                      pselected_num,
-                                                                      op->get_attrs().output_type,
-                                                                      selected_outputs,
-                                                                      selected_indices,
-                                                                      valid_outputs,
-                                                                      op->get_input_element_type(0));
+    ov::reference::nms_common::nms_common_postprocessing(prois,
+                                                         pscores,
+                                                         pselected_num,
+                                                         op->get_attrs().output_type,
+                                                         selected_outputs,
+                                                         selected_indices,
+                                                         valid_outputs,
+                                                         op->get_input_element_type(0));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/mod.cpp b/src/plugins/template/backend/ops/mod.cpp
index ab7cbbea291..e84ef8ffe01 100644
--- a/src/plugins/template/backend/ops/mod.cpp
+++ b/src/plugins/template/backend/ops/mod.cpp
@@ -11,12 +11,12 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::Mod>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::mod<T>(inputs[0]->get_data_ptr<T>(),
-                                       inputs[1]->get_data_ptr<T>(),
-                                       outputs[0]->get_data_ptr<T>(),
-                                       inputs[0]->get_shape(),
-                                       inputs[1]->get_shape(),
-                                       op->get_autob());
+    ov::reference::mod<T>(inputs[0]->get_data_ptr<T>(),
+                          inputs[1]->get_data_ptr<T>(),
+                          outputs[0]->get_data_ptr<T>(),
+                          inputs[0]->get_shape(),
+                          inputs[1]->get_shape(),
+                          op->get_autob());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/multiclass_nms.cpp b/src/plugins/template/backend/ops/multiclass_nms.cpp
index 3550a8a2a8c..e4a3e7f1d5a 100644
--- a/src/plugins/template/backend/ops/multiclass_nms.cpp
+++ b/src/plugins/template/backend/ops/multiclass_nms.cpp
@@ -94,18 +94,18 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::MulticlassNms>& op,
     std::vector<int64_t> selected_indices(info.selected_indices_shape_size);
     std::vector<int64_t> valid_outputs(info.selected_numrois_shape_size);
 
-    ngraph::runtime::reference::multiclass_nms(info.boxes_data.data(),
-                                               info.boxes_shape,
-                                               info.scores_data.data(),
-                                               info.scores_shape,
-                                               nullptr,
-                                               ngraph::Shape(),  // won't be used
-                                               op->get_attrs(),
-                                               selected_outputs.data(),
-                                               info.selected_outputs_shape,
-                                               selected_indices.data(),
-                                               info.selected_indices_shape,
-                                               valid_outputs.data());
+    ov::reference::multiclass_nms(info.boxes_data.data(),
+                                  info.boxes_shape,
+                                  info.scores_data.data(),
+                                  info.scores_shape,
+                                  nullptr,
+                                  ngraph::Shape(),  // won't be used
+                                  op->get_attrs(),
+                                  selected_outputs.data(),
+                                  info.selected_outputs_shape,
+                                  selected_indices.data(),
+                                  info.selected_indices_shape,
+                                  valid_outputs.data());
 
     void* pscores = nullptr;
     void* pselected_num = nullptr;
@@ -123,14 +123,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v8::MulticlassNms>& op,
         pselected_num = outputs[2]->get_data_ptr();
     }
 
-    ngraph::runtime::reference::nms_common::nms_common_postprocessing(prois,
-                                                                      pscores,
-                                                                      pselected_num,
-                                                                      op->get_attrs().output_type,
-                                                                      selected_outputs,
-                                                                      selected_indices,
-                                                                      valid_outputs,
-                                                                      op->get_input_element_type(0));
+    ov::reference::nms_common::nms_common_postprocessing(prois,
+                                                         pscores,
+                                                         pselected_num,
+                                                         op->get_attrs().output_type,
+                                                         selected_outputs,
+                                                         selected_indices,
+                                                         valid_outputs,
+                                                         op->get_input_element_type(0));
 
     return true;
 }
@@ -145,18 +145,18 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::MulticlassNms>& op,
     std::vector<int64_t> selected_indices(info.selected_indices_shape_size);
     std::vector<int64_t> valid_outputs(info.selected_numrois_shape_size);
 
-    ngraph::runtime::reference::multiclass_nms(info.boxes_data.data(),
-                                               info.boxes_shape,
-                                               info.scores_data.data(),
-                                               info.scores_shape,
-                                               info.roisnum_data.data(),
-                                               info.roisnum_shape,
-                                               op->get_attrs(),
-                                               selected_outputs.data(),
-                                               info.selected_outputs_shape,
-                                               selected_indices.data(),
-                                               info.selected_indices_shape,
-                                               valid_outputs.data());
+    ov::reference::multiclass_nms(info.boxes_data.data(),
+                                  info.boxes_shape,
+                                  info.scores_data.data(),
+                                  info.scores_shape,
+                                  info.roisnum_data.data(),
+                                  info.roisnum_shape,
+                                  op->get_attrs(),
+                                  selected_outputs.data(),
+                                  info.selected_outputs_shape,
+                                  selected_indices.data(),
+                                  info.selected_indices_shape,
+                                  valid_outputs.data());
 
     void* pscores = nullptr;
     void* pselected_num = nullptr;
@@ -174,14 +174,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::MulticlassNms>& op,
         pselected_num = outputs[2]->get_data_ptr();
     }
 
-    ngraph::runtime::reference::nms_common::nms_common_postprocessing(prois,
-                                                                      pscores,
-                                                                      pselected_num,
-                                                                      op->get_attrs().output_type,
-                                                                      selected_outputs,
-                                                                      selected_indices,
-                                                                      valid_outputs,
-                                                                      op->get_input_element_type(0));
+    ov::reference::nms_common::nms_common_postprocessing(prois,
+                                                         pscores,
+                                                         pselected_num,
+                                                         op->get_attrs().output_type,
+                                                         selected_outputs,
+                                                         selected_indices,
+                                                         valid_outputs,
+                                                         op->get_input_element_type(0));
 
     return true;
 }
diff --git a/src/plugins/template/backend/ops/mvn.cpp b/src/plugins/template/backend/ops/mvn.cpp
index cca797a58c8..325016eef88 100644
--- a/src/plugins/template/backend/ops/mvn.cpp
+++ b/src/plugins/template/backend/ops/mvn.cpp
@@ -11,12 +11,12 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::MVN>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::mvn<T>(inputs[0]->get_data_ptr<ET>(),
-                                       outputs[0]->get_data_ptr<ET>(),
-                                       inputs[0]->get_shape(),
-                                       op->get_normalize_variance(),
-                                       op->get_reduction_axes(),
-                                       op->get_eps());
+    ov::reference::mvn<T>(inputs[0]->get_data_ptr<ET>(),
+                          outputs[0]->get_data_ptr<ET>(),
+                          inputs[0]->get_shape(),
+                          op->get_normalize_variance(),
+                          op->get_reduction_axes(),
+                          op->get_eps());
     return true;
 }
 
@@ -54,13 +54,13 @@ bool evaluate(const std::shared_ptr<ngraph::op::v6::MVN>& op,
     } else {
         OPENVINO_THROW("Unexpected indices type");
     }
-    ngraph::runtime::reference::mvn_6<T>(inputs[0]->get_data_ptr<ET>(),
-                                         outputs[0]->get_data_ptr<ET>(),
-                                         inputs[0]->get_shape(),
-                                         reduction_axes,
-                                         op->get_normalize_variance(),
-                                         op->get_eps(),
-                                         op->get_eps_mode());
+    ov::reference::mvn_6<T>(inputs[0]->get_data_ptr<ET>(),
+                            outputs[0]->get_data_ptr<ET>(),
+                            inputs[0]->get_shape(),
+                            reduction_axes,
+                            op->get_normalize_variance(),
+                            op->get_eps(),
+                            op->get_eps_mode());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/non_max_suppression.cpp b/src/plugins/template/backend/ops/non_max_suppression.cpp
index 69fb75ab4b5..e99f6d6c85a 100644
--- a/src/plugins/template/backend/ops/non_max_suppression.cpp
+++ b/src/plugins/template/backend/ops/non_max_suppression.cpp
@@ -154,29 +154,29 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::NonMaxSuppression>& op,
     std::vector<float> selected_scores(info.out_shape_size);
     int64_t valid_outputs = 0;
 
-    ngraph::runtime::reference::non_max_suppression(info.boxes_data.data(),
-                                                    info.boxes_shape,
-                                                    info.scores_data.data(),
-                                                    info.scores_shape,
-                                                    info.max_output_boxes_per_class,
-                                                    info.iou_threshold,
-                                                    info.score_threshold,
-                                                    info.soft_nms_sigma,
-                                                    selected_indices.data(),
-                                                    info.out_shape,
-                                                    selected_scores.data(),
-                                                    info.out_shape,
-                                                    &valid_outputs,
-                                                    info.sort_result_descending);
+    ov::reference::non_max_suppression(info.boxes_data.data(),
+                                       info.boxes_shape,
+                                       info.scores_data.data(),
+                                       info.scores_shape,
+                                       info.max_output_boxes_per_class,
+                                       info.iou_threshold,
+                                       info.score_threshold,
+                                       info.soft_nms_sigma,
+                                       selected_indices.data(),
+                                       info.out_shape,
+                                       selected_scores.data(),
+                                       info.out_shape,
+                                       &valid_outputs,
+                                       info.sort_result_descending);
 
     auto selected_scores_type = (outputs.size() < 3) ? ngraph::element::f32 : outputs[1]->get_element_type();
 
-    ngraph::runtime::reference::nms_postprocessing(outputs,
-                                                   info.output_type,
-                                                   selected_indices,
-                                                   selected_scores,
-                                                   valid_outputs,
-                                                   selected_scores_type);
+    ov::reference::nms_postprocessing(outputs,
+                                      info.output_type,
+                                      selected_indices,
+                                      selected_scores,
+                                      valid_outputs,
+                                      selected_scores_type);
     return true;
 }
 
@@ -326,29 +326,29 @@ bool evaluate(const std::shared_ptr<ngraph::op::v4::NonMaxSuppression>& op,
     std::vector<float> selected_scores(info.out_shape_size);
     int64_t valid_outputs = 0;
 
-    ngraph::runtime::reference::non_max_suppression(info.boxes_data.data(),
-                                                    info.boxes_shape,
-                                                    info.scores_data.data(),
-                                                    info.scores_shape,
-                                                    info.max_output_boxes_per_class,
-                                                    info.iou_threshold,
-                                                    info.score_threshold,
-                                                    info.soft_nms_sigma,
-                                                    selected_indices.data(),
-                                                    info.out_shape,
-                                                    selected_scores.data(),
-                                                    info.out_shape,
-                                                    &valid_outputs,
-                                                    info.sort_result_descending);
+    ov::reference::non_max_suppression(info.boxes_data.data(),
+                                       info.boxes_shape,
+                                       info.scores_data.data(),
+                                       info.scores_shape,
+                                       info.max_output_boxes_per_class,
+                                       info.iou_threshold,
+                                       info.score_threshold,
+                                       info.soft_nms_sigma,
+                                       selected_indices.data(),
+                                       info.out_shape,
+                                       selected_scores.data(),
+                                       info.out_shape,
+                                       &valid_outputs,
+                                       info.sort_result_descending);
 
     auto selected_scores_type = (inputs.size() < 4) ? ngraph::element::f32 : inputs[3]->get_element_type();
 
-    ngraph::runtime::reference::nms_postprocessing(outputs,
-                                                   info.output_type,
-                                                   selected_indices,
-                                                   selected_scores,
-                                                   valid_outputs,
-                                                   selected_scores_type);
+    ov::reference::nms_postprocessing(outputs,
+                                      info.output_type,
+                                      selected_indices,
+                                      selected_scores,
+                                      valid_outputs,
+                                      selected_scores_type);
     return true;
 }
 
@@ -498,29 +498,29 @@ bool evaluate(const std::shared_ptr<ngraph::op::v3::NonMaxSuppression>& op,
     std::vector<float> selected_scores(info.out_shape_size);
     int64_t valid_outputs = 0;
 
-    ngraph::runtime::reference::non_max_suppression(info.boxes_data.data(),
-                                                    info.boxes_shape,
-                                                    info.scores_data.data(),
-                                                    info.scores_shape,
-                                                    info.max_output_boxes_per_class,
-                                                    info.iou_threshold,
-                                                    info.score_threshold,
-                                                    info.soft_nms_sigma,
-                                                    selected_indices.data(),
-                                                    info.out_shape,
-                                                    selected_scores.data(),
-                                                    info.out_shape,
-                                                    &valid_outputs,
-                                                    info.sort_result_descending);
+    ov::reference::non_max_suppression(info.boxes_data.data(),
+                                       info.boxes_shape,
+                                       info.scores_data.data(),
+                                       info.scores_shape,
+                                       info.max_output_boxes_per_class,
+                                       info.iou_threshold,
+                                       info.score_threshold,
+                                       info.soft_nms_sigma,
+                                       selected_indices.data(),
+                                       info.out_shape,
+                                       selected_scores.data(),
+                                       info.out_shape,
+                                       &valid_outputs,
+                                       info.sort_result_descending);
 
     auto selected_scores_type = (inputs.size() < 4) ? ngraph::element::f32 : inputs[3]->get_element_type();
 
-    ngraph::runtime::reference::nms_postprocessing(outputs,
-                                                   info.output_type,
-                                                   selected_indices,
-                                                   selected_scores,
-                                                   valid_outputs,
-                                                   selected_scores_type);
+    ov::reference::nms_postprocessing(outputs,
+                                      info.output_type,
+                                      selected_indices,
+                                      selected_scores,
+                                      valid_outputs,
+                                      selected_scores_type);
     return true;
 }
 
@@ -670,29 +670,29 @@ bool evaluate(const std::shared_ptr<ngraph::op::v1::NonMaxSuppression>& op,
     std::vector<float> selected_scores(info.out_shape_size);
     int64_t valid_outputs = 0;
 
-    ngraph::runtime::reference::non_max_suppression(info.boxes_data.data(),
-                                                    info.boxes_shape,
-                                                    info.scores_data.data(),
-                                                    info.scores_shape,
-                                                    info.max_output_boxes_per_class,
-                                                    info.iou_threshold,
-                                                    info.score_threshold,
-                                                    info.soft_nms_sigma,
-                                                    selected_indices.data(),
-                                                    info.out_shape,
-                                                    selected_scores.data(),
-                                                    info.out_shape,
-                                                    &valid_outputs,
-                                                    info.sort_result_descending);
+    ov::reference::non_max_suppression(info.boxes_data.data(),
+                                       info.boxes_shape,
+                                       info.scores_data.data(),
+                                       info.scores_shape,
+                                       info.max_output_boxes_per_class,
+                                       info.iou_threshold,
+                                       info.score_threshold,
+                                       info.soft_nms_sigma,
+                                       selected_indices.data(),
+                                       info.out_shape,
+                                       selected_scores.data(),
+                                       info.out_shape,
+                                       &valid_outputs,
+                                       info.sort_result_descending);
 
     auto selected_scores_type = (inputs.size() < 4) ? ngraph::element::f32 : inputs[3]->get_element_type();
 
-    ngraph::runtime::reference::nms_postprocessing(outputs,
-                                                   info.output_type,
-                                                   selected_indices,
-                                                   selected_scores,
-                                                   valid_outputs,
-                                                   selected_scores_type);
+    ov::reference::nms_postprocessing(outputs,
+                                      info.output_type,
+                                      selected_indices,
+                                      selected_scores,
+                                      valid_outputs,
+                                      selected_scores_type);
     return true;
 }
 
@@ -842,29 +842,29 @@ bool evaluate(const std::shared_ptr<ngraph::op::v5::NonMaxSuppression>& op,
     std::vector<float> selected_scores(info.out_shape_size);
     int64_t valid_outputs = 0;
 
-    ngraph::runtime::reference::non_max_suppression5(info.boxes_data.data(),
-                                                     info.boxes_shape,
-                                                     info.scores_data.data(),
-                                                     info.scores_shape,
-                                                     info.max_output_boxes_per_class,
-                                                     info.iou_threshold,
-                                                     info.score_threshold,
-                                                     info.soft_nms_sigma,
-                                                     selected_indices.data(),
-                                                     info.out_shape,
-                                                     selected_scores.data(),
-                                                     info.out_shape,
-                                                     &valid_outputs,
-                                                     info.sort_result_descending);
+    ov::reference::non_max_suppression5(info.boxes_data.data(),
+                                        info.boxes_shape,
+                                        info.scores_data.data(),
+                                        info.scores_shape,
+                                        info.max_output_boxes_per_class,
+                                        info.iou_threshold,
+                                        info.score_threshold,
+                                        info.soft_nms_sigma,
+                                        selected_indices.data(),
+                                        info.out_shape,
+                                        selected_scores.data(),
+                                        info.out_shape,
+                                        &valid_outputs,
+                                        info.sort_result_descending);
 
     auto selected_scores_type = (outputs.size() < 3) ? ngraph::element::f32 : outputs[1]->get_element_type();
 
-    ngraph::runtime::reference::nms_postprocessing(outputs,
-                                                   info.output_type,
-                                                   selected_indices,
-                                                   selected_scores,
-                                                   valid_outputs,
-                                                   selected_scores_type);
+    ov::reference::nms_postprocessing(outputs,
+                                      info.output_type,
+                                      selected_indices,
+                                      selected_scores,
+                                      valid_outputs,
+                                      selected_scores_type);
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/normalize_l2.cpp b/src/plugins/template/backend/ops/normalize_l2.cpp
index 26358c3e3f1..c2eb3691755 100644
--- a/src/plugins/template/backend/ops/normalize_l2.cpp
+++ b/src/plugins/template/backend/ops/normalize_l2.cpp
@@ -11,12 +11,12 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::NormalizeL2>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::normalize_l2<T>(inputs[0]->get_data_ptr<const T>(),
-                                                outputs[0]->get_data_ptr<T>(),
-                                                op->get_input_shape(0),
-                                                op->get_reduction_axes(),
-                                                op->get_eps(),
-                                                op->get_eps_mode());
+    ov::reference::normalize_l2<T>(inputs[0]->get_data_ptr<const T>(),
+                                   outputs[0]->get_data_ptr<T>(),
+                                   op->get_input_shape(0),
+                                   op->get_reduction_axes(),
+                                   op->get_eps(),
+                                   op->get_eps_mode());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/pad.cpp b/src/plugins/template/backend/ops/pad.cpp
index db4ec0646b2..e5fdee71c10 100644
--- a/src/plugins/template/backend/ops/pad.cpp
+++ b/src/plugins/template/backend/ops/pad.cpp
@@ -10,15 +10,15 @@ template <ngraph::element::Type_t ET>
 bool evaluate(const std::shared_ptr<ngraph::op::v1::Pad>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
-    ngraph::runtime::reference::pad(inputs[0]->get_data_ptr<char>(),
-                                    inputs[1]->get_data_ptr<char>(),
-                                    outputs[0]->get_data_ptr<char>(),
-                                    ngraph::shape_size(inputs[0]->get_shape()),
-                                    inputs[1]->get_shape(),
-                                    outputs[0]->get_shape(),
-                                    op->get_pads_end(),
-                                    op->get_pads_begin(),
-                                    op->get_pad_mode());
+    ov::reference::pad(inputs[0]->get_data_ptr<char>(),
+                       inputs[1]->get_data_ptr<char>(),
+                       outputs[0]->get_data_ptr<char>(),
+                       ngraph::shape_size(inputs[0]->get_shape()),
+                       inputs[1]->get_shape(),
+                       outputs[0]->get_shape(),
+                       op->get_pads_end(),
+                       op->get_pads_begin(),
+                       op->get_pad_mode());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/prelu.cpp b/src/plugins/template/backend/ops/prelu.cpp
index 5150950f15b..914feb94f6a 100644
--- a/src/plugins/template/backend/ops/prelu.cpp
+++ b/src/plugins/template/backend/ops/prelu.cpp
@@ -11,11 +11,11 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::PRelu>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::prelu<T>(inputs[0]->get_data_ptr<T>(),
-                                         inputs[1]->get_data_ptr<T>(),
-                                         outputs[0]->get_data_ptr<T>(),
-                                         inputs[0]->get_shape(),
-                                         inputs[1]->get_shape());
+    ov::reference::prelu<T>(inputs[0]->get_data_ptr<T>(),
+                            inputs[1]->get_data_ptr<T>(),
+                            outputs[0]->get_data_ptr<T>(),
+                            inputs[0]->get_shape(),
+                            inputs[1]->get_shape());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/proposal.cpp b/src/plugins/template/backend/ops/proposal.cpp
index ad5ad166a79..b94c06379a1 100644
--- a/src/plugins/template/backend/ops/proposal.cpp
+++ b/src/plugins/template/backend/ops/proposal.cpp
@@ -11,15 +11,15 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Proposal>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::proposal_v0<T>(inputs[0]->get_data_ptr<T>(),
-                                               inputs[1]->get_data_ptr<T>(),
-                                               inputs[2]->get_data_ptr<T>(),
-                                               outputs[0]->get_data_ptr<T>(),
-                                               inputs[0]->get_shape(),
-                                               inputs[1]->get_shape(),
-                                               inputs[2]->get_shape(),
-                                               outputs[0]->get_shape(),
-                                               op.get()->get_attrs());
+    ov::reference::proposal_v0<T>(inputs[0]->get_data_ptr<T>(),
+                                  inputs[1]->get_data_ptr<T>(),
+                                  inputs[2]->get_data_ptr<T>(),
+                                  outputs[0]->get_data_ptr<T>(),
+                                  inputs[0]->get_shape(),
+                                  inputs[1]->get_shape(),
+                                  inputs[2]->get_shape(),
+                                  outputs[0]->get_shape(),
+                                  op.get()->get_attrs());
     return true;
 }
 
@@ -28,17 +28,17 @@ bool evaluate(const std::shared_ptr<ngraph::op::v4::Proposal>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::proposal_v4<T>(inputs[0]->get_data_ptr<T>(),
-                                               inputs[1]->get_data_ptr<T>(),
-                                               inputs[2]->get_data_ptr<T>(),
-                                               outputs[0]->get_data_ptr<T>(),
-                                               outputs[1]->get_data_ptr<T>(),
-                                               inputs[0]->get_shape(),
-                                               inputs[1]->get_shape(),
-                                               inputs[2]->get_shape(),
-                                               outputs[0]->get_shape(),
-                                               outputs[1]->get_shape(),
-                                               op.get()->get_attrs());
+    ov::reference::proposal_v4<T>(inputs[0]->get_data_ptr<T>(),
+                                  inputs[1]->get_data_ptr<T>(),
+                                  inputs[2]->get_data_ptr<T>(),
+                                  outputs[0]->get_data_ptr<T>(),
+                                  outputs[1]->get_data_ptr<T>(),
+                                  inputs[0]->get_shape(),
+                                  inputs[1]->get_shape(),
+                                  inputs[2]->get_shape(),
+                                  outputs[0]->get_shape(),
+                                  outputs[1]->get_shape(),
+                                  op.get()->get_attrs());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/psroi_pooling.cpp b/src/plugins/template/backend/ops/psroi_pooling.cpp
index f048d188b13..c2bf72bcb62 100644
--- a/src/plugins/template/backend/ops/psroi_pooling.cpp
+++ b/src/plugins/template/backend/ops/psroi_pooling.cpp
@@ -11,16 +11,16 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::PSROIPooling>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::psroi_pooling<T>(inputs[0]->get_data_ptr<T>(),
-                                                 inputs[0]->get_shape(),
-                                                 inputs[1]->get_data_ptr<T>(),
-                                                 inputs[1]->get_shape(),
-                                                 outputs[0]->get_data_ptr<T>(),
-                                                 outputs[0]->get_shape(),
-                                                 op->get_mode(),
-                                                 op->get_spatial_scale(),
-                                                 op->get_spatial_bins_x(),
-                                                 op->get_spatial_bins_y());
+    ov::reference::psroi_pooling<T>(inputs[0]->get_data_ptr<T>(),
+                                    inputs[0]->get_shape(),
+                                    inputs[1]->get_data_ptr<T>(),
+                                    inputs[1]->get_shape(),
+                                    outputs[0]->get_data_ptr<T>(),
+                                    outputs[0]->get_shape(),
+                                    op->get_mode(),
+                                    op->get_spatial_scale(),
+                                    op->get_spatial_bins_x(),
+                                    op->get_spatial_bins_y());
 
     return true;
 }
diff --git a/src/plugins/template/backend/ops/rdft.cpp b/src/plugins/template/backend/ops/rdft.cpp
index 590e74e69f6..0f3623876e9 100644
--- a/src/plugins/template/backend/ops/rdft.cpp
+++ b/src/plugins/template/backend/ops/rdft.cpp
@@ -31,7 +31,7 @@ InfoForRFFT9 get_info_for_rfft9_eval(const std::vector<std::shared_ptr<ngraph::H
 
     int64_t input_rank = static_cast<int64_t>(result.input_data_shape.size());
     auto canonicalized_axes =
-        ngraph::runtime::reference::canonicalize_axes(result.axes_data.data(), result.axes_data_shape, input_rank);
+        ov::reference::canonicalize_axes(result.axes_data.data(), result.axes_data_shape, input_rank);
 
     size_t num_of_axes = result.axes_data.size();
     auto signal_size = get_signal_size(inputs, num_of_axes);
@@ -66,14 +66,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::RDFT>& op,
     outputs[0]->set_shape(info.output_shape);
 
     std::vector<float> rfft_result(ngraph::shape_size(info.output_shape), 0.0f);
-    ngraph::runtime::reference::rdft(info.input_data,
-                                     info.input_data_shape,
-                                     info.axes_data,
-                                     info.fft_output_shape,
-                                     rfft_result.data());
+    ov::reference::rdft(info.input_data,
+                        info.input_data_shape,
+                        info.axes_data,
+                        info.fft_output_shape,
+                        rfft_result.data());
 
     const auto output_type = op->get_input_element_type(0);
-    ngraph::runtime::reference::fft_postprocessing(outputs, output_type, rfft_result);
+    ov::reference::fft_postprocessing(outputs, output_type, rfft_result);
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/region_yolo.cpp b/src/plugins/template/backend/ops/region_yolo.cpp
index 40a802fad04..7d3ae597194 100644
--- a/src/plugins/template/backend/ops/region_yolo.cpp
+++ b/src/plugins/template/backend/ops/region_yolo.cpp
@@ -11,14 +11,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::RegionYolo>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::region_yolo<T>(inputs[0]->get_data_ptr<const T>(),
-                                               outputs[0]->get_data_ptr<T>(),
-                                               inputs[0]->get_shape(),
-                                               static_cast<int>(op->get_num_coords()),
-                                               static_cast<int>(op->get_num_classes()),
-                                               static_cast<int>(op->get_num_regions()),
-                                               op->get_do_softmax(),
-                                               op->get_mask());
+    ov::reference::region_yolo<T>(inputs[0]->get_data_ptr<const T>(),
+                                  outputs[0]->get_data_ptr<T>(),
+                                  inputs[0]->get_shape(),
+                                  static_cast<int>(op->get_num_coords()),
+                                  static_cast<int>(op->get_num_classes()),
+                                  static_cast<int>(op->get_num_regions()),
+                                  op->get_do_softmax(),
+                                  op->get_mask());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/relu.cpp b/src/plugins/template/backend/ops/relu.cpp
index 77a7bcd61df..ce570e1a65c 100644
--- a/src/plugins/template/backend/ops/relu.cpp
+++ b/src/plugins/template/backend/ops/relu.cpp
@@ -11,9 +11,9 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Relu>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::relu<T>(inputs[0]->get_data_ptr<T>(),
-                                        outputs[0]->get_data_ptr<T>(),
-                                        ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::relu<T>(inputs[0]->get_data_ptr<T>(),
+                           outputs[0]->get_data_ptr<T>(),
+                           ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/reorg_yolo.cpp b/src/plugins/template/backend/ops/reorg_yolo.cpp
index a5a437d588d..05730f4279d 100644
--- a/src/plugins/template/backend/ops/reorg_yolo.cpp
+++ b/src/plugins/template/backend/ops/reorg_yolo.cpp
@@ -10,11 +10,11 @@ template <ngraph::element::Type_t ET>
 bool evaluate(const std::shared_ptr<ngraph::op::v0::ReorgYolo>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
-    ngraph::runtime::reference::reorg_yolo(inputs[0]->get_data_ptr<char>(),
-                                           outputs[0]->get_data_ptr<char>(),
-                                           inputs[0]->get_shape(),
-                                           op->get_strides().at(0),
-                                           inputs[0]->get_element_type().size());
+    ov::reference::reorg_yolo(inputs[0]->get_data_ptr<char>(),
+                              outputs[0]->get_data_ptr<char>(),
+                              inputs[0]->get_shape(),
+                              op->get_strides().at(0),
+                              inputs[0]->get_element_type().size());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/reverse_sequence.cpp b/src/plugins/template/backend/ops/reverse_sequence.cpp
index cf010611836..d00ba0b0fc2 100644
--- a/src/plugins/template/backend/ops/reverse_sequence.cpp
+++ b/src/plugins/template/backend/ops/reverse_sequence.cpp
@@ -13,12 +13,12 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v0::ReverseSequence>& op,
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::reverse_sequence<T1, T2>(inputs[0]->get_data_ptr<T1>(),
-                                                         outputs[0]->get_data_ptr<T1>(),
-                                                         inputs[0]->get_shape(),
-                                                         op->get_batch_axis(),
-                                                         op->get_sequence_axis(),
-                                                         inputs[1]->get_data_ptr<T2>());
+    ov::reference::reverse_sequence<T1, T2>(inputs[0]->get_data_ptr<T1>(),
+                                            outputs[0]->get_data_ptr<T1>(),
+                                            inputs[0]->get_shape(),
+                                            op->get_batch_axis(),
+                                            op->get_sequence_axis(),
+                                            inputs[1]->get_data_ptr<T2>());
 }
 }  // namespace reverse_sequence_v0
 
diff --git a/src/plugins/template/backend/ops/rnn_cell.cpp b/src/plugins/template/backend/ops/rnn_cell.cpp
index f216c15e32b..8b52ff0275e 100644
--- a/src/plugins/template/backend/ops/rnn_cell.cpp
+++ b/src/plugins/template/backend/ops/rnn_cell.cpp
@@ -11,19 +11,19 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::RNNCell>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::rnn_cell<T>(inputs[0]->get_data_ptr<ET>(),
-                                            inputs[0]->get_shape(),
-                                            inputs[1]->get_data_ptr<ET>(),
-                                            inputs[1]->get_shape(),
-                                            inputs[2]->get_data_ptr<ET>(),
-                                            inputs[2]->get_shape(),
-                                            inputs[3]->get_data_ptr<ET>(),
-                                            inputs[3]->get_shape(),
-                                            inputs[4]->get_data_ptr<ET>(),
-                                            inputs[4]->get_shape(),
-                                            outputs[0]->get_data_ptr<ET>(),
-                                            op->get_activations().front(),
-                                            op->get_clip());
+    ov::reference::rnn_cell<T>(inputs[0]->get_data_ptr<ET>(),
+                               inputs[0]->get_shape(),
+                               inputs[1]->get_data_ptr<ET>(),
+                               inputs[1]->get_shape(),
+                               inputs[2]->get_data_ptr<ET>(),
+                               inputs[2]->get_shape(),
+                               inputs[3]->get_data_ptr<ET>(),
+                               inputs[3]->get_shape(),
+                               inputs[4]->get_data_ptr<ET>(),
+                               inputs[4]->get_shape(),
+                               outputs[0]->get_data_ptr<ET>(),
+                               op->get_activations().front(),
+                               op->get_clip());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/roi_align.cpp b/src/plugins/template/backend/ops/roi_align.cpp
index 09793b3d254..ae1fc3d9b83 100644
--- a/src/plugins/template/backend/ops/roi_align.cpp
+++ b/src/plugins/template/backend/ops/roi_align.cpp
@@ -26,20 +26,20 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::ROIAlign>& op,
         NGRAPH_CHECK(false, "unsupported PoolingMode ");
     }
     }
-    ngraph::runtime::reference::roi_align<T>(inputs[0]->get_data_ptr<const T>(),
-                                             inputs[1]->get_data_ptr<const T>(),
-                                             batch_indices_vec_scaled_up.data(),
-                                             outputs[0]->get_data_ptr<T>(),
-                                             op->get_input_shape(0),
-                                             op->get_input_shape(1),
-                                             op->get_input_shape(2),
-                                             op->get_output_shape(0),
-                                             op->get_pooled_h(),
-                                             op->get_pooled_w(),
-                                             op->get_sampling_ratio(),
-                                             op->get_spatial_scale(),
-                                             m_mode_v3,
-                                             op->get_aligned_mode());
+    ov::reference::roi_align<T>(inputs[0]->get_data_ptr<const T>(),
+                                inputs[1]->get_data_ptr<const T>(),
+                                batch_indices_vec_scaled_up.data(),
+                                outputs[0]->get_data_ptr<T>(),
+                                op->get_input_shape(0),
+                                op->get_input_shape(1),
+                                op->get_input_shape(2),
+                                op->get_output_shape(0),
+                                op->get_pooled_h(),
+                                op->get_pooled_w(),
+                                op->get_sampling_ratio(),
+                                op->get_spatial_scale(),
+                                m_mode_v3,
+                                op->get_aligned_mode());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/roi_pooling.cpp b/src/plugins/template/backend/ops/roi_pooling.cpp
index 5c483dc2069..a10fe0b06ba 100644
--- a/src/plugins/template/backend/ops/roi_pooling.cpp
+++ b/src/plugins/template/backend/ops/roi_pooling.cpp
@@ -12,14 +12,14 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::ROIPooling>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::roi_pooling<T>(inputs[0]->get_data_ptr<const T>(),
-                                               inputs[1]->get_data_ptr<const T>(),
-                                               outputs[0]->get_data_ptr<T>(),
-                                               op->get_input_shape(0),
-                                               op->get_input_shape(1),
-                                               op->get_output_shape(0),
-                                               op->get_spatial_scale(),
-                                               op->get_method());
+    ov::reference::roi_pooling<T>(inputs[0]->get_data_ptr<const T>(),
+                                  inputs[1]->get_data_ptr<const T>(),
+                                  outputs[0]->get_data_ptr<T>(),
+                                  op->get_input_shape(0),
+                                  op->get_input_shape(1),
+                                  op->get_output_shape(0),
+                                  op->get_spatial_scale(),
+                                  op->get_method());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/roll.cpp b/src/plugins/template/backend/ops/roll.cpp
index 8d1755aefa7..69caac63c73 100644
--- a/src/plugins/template/backend/ops/roll.cpp
+++ b/src/plugins/template/backend/ops/roll.cpp
@@ -34,7 +34,7 @@ bool evaluate(const std::shared_ptr<ngraph::op::v7::Roll>& op,
                            return static_cast<int64_t>(elem);
                        });
     }
-    ngraph::runtime::reference::roll(
+    ov::reference::roll(
         inputs[0]->get_data_ptr<const char>(),
         inputs[1]->get_element_type() != ngraph::element::Type_t::i64 ? shift_int64.data()
                                                                       : inputs[1]->get_data_ptr<const int64_t>(),
diff --git a/src/plugins/template/backend/ops/scatter_nd_update.cpp b/src/plugins/template/backend/ops/scatter_nd_update.cpp
index ea347de5d6d..d55cac83087 100644
--- a/src/plugins/template/backend/ops/scatter_nd_update.cpp
+++ b/src/plugins/template/backend/ops/scatter_nd_update.cpp
@@ -13,21 +13,21 @@ bool evaluate(const std::shared_ptr<ngraph::op::v3::ScatterNDUpdate>& op,
     using T = typename ngraph::element_type_traits<ET>::value_type;
     auto idxType = op->get_input_element_type(1);
     if (idxType == ngraph::element::i32) {
-        ngraph::runtime::reference::scatterNdUpdate<T, int32_t>(inputs[0]->get_data_ptr<const T>(),
-                                                                inputs[1]->get_data_ptr<const int32_t>(),
-                                                                inputs[2]->get_data_ptr<const T>(),
-                                                                outputs[0]->get_data_ptr<T>(),
-                                                                op->get_input_shape(0),
-                                                                op->get_input_shape(1),
-                                                                op->get_input_shape(2));
+        ov::reference::scatterNdUpdate<T, int32_t>(inputs[0]->get_data_ptr<const T>(),
+                                                   inputs[1]->get_data_ptr<const int32_t>(),
+                                                   inputs[2]->get_data_ptr<const T>(),
+                                                   outputs[0]->get_data_ptr<T>(),
+                                                   op->get_input_shape(0),
+                                                   op->get_input_shape(1),
+                                                   op->get_input_shape(2));
     } else if (idxType == ngraph::element::i64) {
-        ngraph::runtime::reference::scatterNdUpdate<T, int64_t>(inputs[0]->get_data_ptr<const T>(),
-                                                                inputs[1]->get_data_ptr<const int64_t>(),
-                                                                inputs[2]->get_data_ptr<const T>(),
-                                                                outputs[0]->get_data_ptr<T>(),
-                                                                op->get_input_shape(0),
-                                                                op->get_input_shape(1),
-                                                                op->get_input_shape(2));
+        ov::reference::scatterNdUpdate<T, int64_t>(inputs[0]->get_data_ptr<const T>(),
+                                                   inputs[1]->get_data_ptr<const int64_t>(),
+                                                   inputs[2]->get_data_ptr<const T>(),
+                                                   outputs[0]->get_data_ptr<T>(),
+                                                   op->get_input_shape(0),
+                                                   op->get_input_shape(1),
+                                                   op->get_input_shape(2));
     } else {
         OPENVINO_THROW("ScatterNDUpdate layer support only i32 and i64 'indices' input precision!");
     }
diff --git a/src/plugins/template/backend/ops/selu.cpp b/src/plugins/template/backend/ops/selu.cpp
index 888e056f130..0580bd72200 100644
--- a/src/plugins/template/backend/ops/selu.cpp
+++ b/src/plugins/template/backend/ops/selu.cpp
@@ -11,13 +11,13 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Selu>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::selu<T>(inputs[0]->get_data_ptr<T>(),
-                                        inputs[1]->get_data_ptr<T>(),
-                                        inputs[2]->get_data_ptr<T>(),
-                                        outputs[0]->get_data_ptr<T>(),
-                                        ngraph::shape_size(inputs[0]->get_shape()),
-                                        ngraph::shape_size(inputs[1]->get_shape()),
-                                        ngraph::shape_size(inputs[2]->get_shape()));
+    ov::reference::selu<T>(inputs[0]->get_data_ptr<T>(),
+                           inputs[1]->get_data_ptr<T>(),
+                           inputs[2]->get_data_ptr<T>(),
+                           outputs[0]->get_data_ptr<T>(),
+                           ngraph::shape_size(inputs[0]->get_shape()),
+                           ngraph::shape_size(inputs[1]->get_shape()),
+                           ngraph::shape_size(inputs[2]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/sequences.cpp b/src/plugins/template/backend/ops/sequences.cpp
index 5ea629ad250..a8d0ddf49b1 100644
--- a/src/plugins/template/backend/ops/sequences.cpp
+++ b/src/plugins/template/backend/ops/sequences.cpp
@@ -15,23 +15,23 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v5::RNNSequence>& op,
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::rnn_sequence<T1, T2>(inputs[0]->get_data_ptr<char>(),
-                                                     inputs[0]->get_shape(),
-                                                     inputs[1]->get_data_ptr<char>(),
-                                                     inputs[1]->get_shape(),
-                                                     inputs[2]->get_data_ptr<char>(),
-                                                     inputs[2]->get_shape(),
-                                                     inputs[3]->get_data_ptr<char>(),
-                                                     inputs[3]->get_shape(),
-                                                     inputs[4]->get_data_ptr<char>(),
-                                                     inputs[4]->get_shape(),
-                                                     inputs[5]->get_data_ptr<char>(),
-                                                     inputs[5]->get_shape(),
-                                                     outputs[0]->get_data_ptr<char>(),
-                                                     outputs[1]->get_data_ptr<char>(),
-                                                     op->get_activations()[0],
-                                                     op->get_clip(),
-                                                     op->get_direction());
+    ov::reference::rnn_sequence<T1, T2>(inputs[0]->get_data_ptr<char>(),
+                                        inputs[0]->get_shape(),
+                                        inputs[1]->get_data_ptr<char>(),
+                                        inputs[1]->get_shape(),
+                                        inputs[2]->get_data_ptr<char>(),
+                                        inputs[2]->get_shape(),
+                                        inputs[3]->get_data_ptr<char>(),
+                                        inputs[3]->get_shape(),
+                                        inputs[4]->get_data_ptr<char>(),
+                                        inputs[4]->get_shape(),
+                                        inputs[5]->get_data_ptr<char>(),
+                                        inputs[5]->get_shape(),
+                                        outputs[0]->get_data_ptr<char>(),
+                                        outputs[1]->get_data_ptr<char>(),
+                                        op->get_activations()[0],
+                                        op->get_clip(),
+                                        op->get_direction());
 }
 }  // namespace rnn_seq_v5
 
@@ -61,32 +61,32 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v0::LSTMSequence>& op,
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::lstm_sequence_v1<T1, T2>(inputs[0]->get_data_ptr<char>(),
-                                                         inputs[0]->get_shape(),
-                                                         inputs[1]->get_data_ptr<char>(),
-                                                         inputs[1]->get_shape(),
-                                                         inputs[2]->get_data_ptr<char>(),
-                                                         inputs[2]->get_shape(),
-                                                         inputs[3]->get_data_ptr<char>(),
-                                                         inputs[3]->get_shape(),
-                                                         inputs[4]->get_data_ptr<char>(),
-                                                         inputs[4]->get_shape(),
-                                                         inputs[5]->get_data_ptr<char>(),
-                                                         inputs[5]->get_shape(),
-                                                         inputs[6]->get_data_ptr<char>(),
-                                                         inputs[6]->get_shape(),
-                                                         inputs[7]->get_data_ptr<char>(),
-                                                         inputs[7]->get_shape(),
-                                                         outputs[0]->get_data_ptr<char>(),
-                                                         outputs[1]->get_data_ptr<char>(),
-                                                         outputs[2]->get_data_ptr<char>(),
-                                                         op->get_activations()[0],
-                                                         op->get_activations()[1],
-                                                         op->get_activations()[2],
-                                                         op->get_clip_threshold(),
-                                                         op->get_weights_format(),
-                                                         op->get_input_forget(),
-                                                         op->get_direction());
+    ov::reference::lstm_sequence_v1<T1, T2>(inputs[0]->get_data_ptr<char>(),
+                                            inputs[0]->get_shape(),
+                                            inputs[1]->get_data_ptr<char>(),
+                                            inputs[1]->get_shape(),
+                                            inputs[2]->get_data_ptr<char>(),
+                                            inputs[2]->get_shape(),
+                                            inputs[3]->get_data_ptr<char>(),
+                                            inputs[3]->get_shape(),
+                                            inputs[4]->get_data_ptr<char>(),
+                                            inputs[4]->get_shape(),
+                                            inputs[5]->get_data_ptr<char>(),
+                                            inputs[5]->get_shape(),
+                                            inputs[6]->get_data_ptr<char>(),
+                                            inputs[6]->get_shape(),
+                                            inputs[7]->get_data_ptr<char>(),
+                                            inputs[7]->get_shape(),
+                                            outputs[0]->get_data_ptr<char>(),
+                                            outputs[1]->get_data_ptr<char>(),
+                                            outputs[2]->get_data_ptr<char>(),
+                                            op->get_activations()[0],
+                                            op->get_activations()[1],
+                                            op->get_activations()[2],
+                                            op->get_clip_threshold(),
+                                            op->get_weights_format(),
+                                            op->get_input_forget(),
+                                            op->get_direction());
 }
 }  // namespace lstm_seq_v1
 
@@ -97,28 +97,28 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v5::LSTMSequence>& op,
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::lstm_sequence<T1, T2>(inputs[0]->get_data_ptr<char>(),
-                                                      inputs[0]->get_shape(),
-                                                      inputs[1]->get_data_ptr<char>(),
-                                                      inputs[1]->get_shape(),
-                                                      inputs[2]->get_data_ptr<char>(),
-                                                      inputs[2]->get_shape(),
-                                                      inputs[3]->get_data_ptr<char>(),
-                                                      inputs[3]->get_shape(),
-                                                      inputs[4]->get_data_ptr<char>(),
-                                                      inputs[4]->get_shape(),
-                                                      inputs[5]->get_data_ptr<char>(),
-                                                      inputs[5]->get_shape(),
-                                                      inputs[6]->get_data_ptr<char>(),
-                                                      inputs[6]->get_shape(),
-                                                      outputs[0]->get_data_ptr<char>(),
-                                                      outputs[1]->get_data_ptr<char>(),
-                                                      outputs[2]->get_data_ptr<char>(),
-                                                      op->get_activations()[0],
-                                                      op->get_activations()[1],
-                                                      op->get_activations()[2],
-                                                      op->get_clip(),
-                                                      op->get_direction());
+    ov::reference::lstm_sequence<T1, T2>(inputs[0]->get_data_ptr<char>(),
+                                         inputs[0]->get_shape(),
+                                         inputs[1]->get_data_ptr<char>(),
+                                         inputs[1]->get_shape(),
+                                         inputs[2]->get_data_ptr<char>(),
+                                         inputs[2]->get_shape(),
+                                         inputs[3]->get_data_ptr<char>(),
+                                         inputs[3]->get_shape(),
+                                         inputs[4]->get_data_ptr<char>(),
+                                         inputs[4]->get_shape(),
+                                         inputs[5]->get_data_ptr<char>(),
+                                         inputs[5]->get_shape(),
+                                         inputs[6]->get_data_ptr<char>(),
+                                         inputs[6]->get_shape(),
+                                         outputs[0]->get_data_ptr<char>(),
+                                         outputs[1]->get_data_ptr<char>(),
+                                         outputs[2]->get_data_ptr<char>(),
+                                         op->get_activations()[0],
+                                         op->get_activations()[1],
+                                         op->get_activations()[2],
+                                         op->get_clip(),
+                                         op->get_direction());
 }
 }  // namespace lstm_seq_v5
 
@@ -167,25 +167,25 @@ inline void evaluate(const std::shared_ptr<ngraph::op::v5::GRUSequence>& op,
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::gru_sequence<T1, T2>(inputs[0]->get_data_ptr<char>(),
-                                                     inputs[0]->get_shape(),
-                                                     inputs[1]->get_data_ptr<char>(),
-                                                     inputs[1]->get_shape(),
-                                                     inputs[2]->get_data_ptr<char>(),
-                                                     inputs[2]->get_shape(),
-                                                     inputs[3]->get_data_ptr<char>(),
-                                                     inputs[3]->get_shape(),
-                                                     inputs[4]->get_data_ptr<char>(),
-                                                     inputs[4]->get_shape(),
-                                                     inputs[5]->get_data_ptr<char>(),
-                                                     inputs[5]->get_shape(),
-                                                     outputs[0]->get_data_ptr<char>(),
-                                                     outputs[1]->get_data_ptr<char>(),
-                                                     op->get_activations()[0],
-                                                     op->get_activations()[1],
-                                                     op->get_clip(),
-                                                     op->get_direction(),
-                                                     op->get_linear_before_reset());
+    ov::reference::gru_sequence<T1, T2>(inputs[0]->get_data_ptr<char>(),
+                                        inputs[0]->get_shape(),
+                                        inputs[1]->get_data_ptr<char>(),
+                                        inputs[1]->get_shape(),
+                                        inputs[2]->get_data_ptr<char>(),
+                                        inputs[2]->get_shape(),
+                                        inputs[3]->get_data_ptr<char>(),
+                                        inputs[3]->get_shape(),
+                                        inputs[4]->get_data_ptr<char>(),
+                                        inputs[4]->get_shape(),
+                                        inputs[5]->get_data_ptr<char>(),
+                                        inputs[5]->get_shape(),
+                                        outputs[0]->get_data_ptr<char>(),
+                                        outputs[1]->get_data_ptr<char>(),
+                                        op->get_activations()[0],
+                                        op->get_activations()[1],
+                                        op->get_clip(),
+                                        op->get_direction(),
+                                        op->get_linear_before_reset());
 }
 }  // namespace gru_seq_v5
 
@@ -215,26 +215,26 @@ inline void evaluate(const std::shared_ptr<ov::op::internal::AUGRUSequence>& op,
                      const ngraph::HostTensorVector& inputs) {
     using T1 = typename ngraph::element_type_traits<t1>::value_type;
     using T2 = typename ngraph::element_type_traits<t2>::value_type;
-    ngraph::runtime::reference::gru_sequence<T1, T2>(inputs[0]->get_data_ptr<char>(),
-                                                     inputs[0]->get_shape(),
-                                                     inputs[1]->get_data_ptr<char>(),
-                                                     inputs[1]->get_shape(),
-                                                     inputs[2]->get_data_ptr<char>(),
-                                                     inputs[2]->get_shape(),
-                                                     inputs[3]->get_data_ptr<char>(),
-                                                     inputs[3]->get_shape(),
-                                                     inputs[4]->get_data_ptr<char>(),
-                                                     inputs[4]->get_shape(),
-                                                     inputs[5]->get_data_ptr<char>(),
-                                                     inputs[5]->get_shape(),
-                                                     outputs[0]->get_data_ptr<char>(),
-                                                     outputs[1]->get_data_ptr<char>(),
-                                                     op->get_activations()[0],
-                                                     op->get_activations()[1],
-                                                     op->get_clip(),
-                                                     op->get_direction(),
-                                                     op->get_linear_before_reset(),
-                                                     inputs[6]->get_data_ptr<char>());
+    ov::reference::gru_sequence<T1, T2>(inputs[0]->get_data_ptr<char>(),
+                                        inputs[0]->get_shape(),
+                                        inputs[1]->get_data_ptr<char>(),
+                                        inputs[1]->get_shape(),
+                                        inputs[2]->get_data_ptr<char>(),
+                                        inputs[2]->get_shape(),
+                                        inputs[3]->get_data_ptr<char>(),
+                                        inputs[3]->get_shape(),
+                                        inputs[4]->get_data_ptr<char>(),
+                                        inputs[4]->get_shape(),
+                                        inputs[5]->get_data_ptr<char>(),
+                                        inputs[5]->get_shape(),
+                                        outputs[0]->get_data_ptr<char>(),
+                                        outputs[1]->get_data_ptr<char>(),
+                                        op->get_activations()[0],
+                                        op->get_activations()[1],
+                                        op->get_clip(),
+                                        op->get_direction(),
+                                        op->get_linear_before_reset(),
+                                        inputs[6]->get_data_ptr<char>());
 }
 }  // namespace augru_seq
 
diff --git a/src/plugins/template/backend/ops/sigmoid.cpp b/src/plugins/template/backend/ops/sigmoid.cpp
index 3cf5b9482f7..7123ac4cb72 100644
--- a/src/plugins/template/backend/ops/sigmoid.cpp
+++ b/src/plugins/template/backend/ops/sigmoid.cpp
@@ -11,9 +11,9 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Sigmoid>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::sigmoid<T>(inputs[0]->get_data_ptr<T>(),
-                                           outputs[0]->get_data_ptr<T>(),
-                                           ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::sigmoid<T>(inputs[0]->get_data_ptr<T>(),
+                              outputs[0]->get_data_ptr<T>(),
+                              ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/sign.cpp b/src/plugins/template/backend/ops/sign.cpp
index c8e1d9666ae..663a7a702be 100644
--- a/src/plugins/template/backend/ops/sign.cpp
+++ b/src/plugins/template/backend/ops/sign.cpp
@@ -11,9 +11,9 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::Sign>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::sign<T>(inputs[0]->get_data_ptr<T>(),
-                                        outputs[0]->get_data_ptr<T>(),
-                                        ngraph::shape_size(inputs[0]->get_shape()));
+    ov::reference::sign<T>(inputs[0]->get_data_ptr<T>(),
+                           outputs[0]->get_data_ptr<T>(),
+                           ngraph::shape_size(inputs[0]->get_shape()));
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/softsign.cpp b/src/plugins/template/backend/ops/softsign.cpp
index 5febcbf09c2..97885e733ee 100644
--- a/src/plugins/template/backend/ops/softsign.cpp
+++ b/src/plugins/template/backend/ops/softsign.cpp
@@ -13,24 +13,24 @@ bool evaluate(const std::shared_ptr<ngraph::op::v9::SoftSign>& op,
     ngraph::element::Type input_et = op->get_input_element_type(0);
     switch (input_et) {
     case ngraph::element::Type_t::f64:
-        ngraph::runtime::reference::softsign<double>(inputs[0]->get_data_ptr<double>(),
-                                                     outputs[0]->get_data_ptr<double>(),
-                                                     ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::softsign<double>(inputs[0]->get_data_ptr<double>(),
+                                        outputs[0]->get_data_ptr<double>(),
+                                        ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::f32:
-        ngraph::runtime::reference::softsign<float>(inputs[0]->get_data_ptr<float>(),
-                                                    outputs[0]->get_data_ptr<float>(),
-                                                    ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::softsign<float>(inputs[0]->get_data_ptr<float>(),
+                                       outputs[0]->get_data_ptr<float>(),
+                                       ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::f16:
-        ngraph::runtime::reference::softsign<ngraph::float16>(inputs[0]->get_data_ptr<ngraph::float16>(),
-                                                              outputs[0]->get_data_ptr<ngraph::float16>(),
-                                                              ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::softsign<ngraph::float16>(inputs[0]->get_data_ptr<ngraph::float16>(),
+                                                 outputs[0]->get_data_ptr<ngraph::float16>(),
+                                                 ngraph::shape_size(inputs[0]->get_shape()));
         break;
     case ngraph::element::Type_t::bf16:
-        ngraph::runtime::reference::softsign<ngraph::bfloat16>(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
-                                                               outputs[0]->get_data_ptr<ngraph::bfloat16>(),
-                                                               ngraph::shape_size(inputs[0]->get_shape()));
+        ov::reference::softsign<ngraph::bfloat16>(inputs[0]->get_data_ptr<ngraph::bfloat16>(),
+                                                  outputs[0]->get_data_ptr<ngraph::bfloat16>(),
+                                                  ngraph::shape_size(inputs[0]->get_shape()));
         break;
     default:
         return false;
diff --git a/src/plugins/template/backend/ops/squared_difference.cpp b/src/plugins/template/backend/ops/squared_difference.cpp
index 2eda9be7d1d..9f8c385e6b6 100644
--- a/src/plugins/template/backend/ops/squared_difference.cpp
+++ b/src/plugins/template/backend/ops/squared_difference.cpp
@@ -11,12 +11,12 @@ bool evaluate(const std::shared_ptr<ngraph::op::v0::SquaredDifference>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
     using T = typename ngraph::element_type_traits<ET>::value_type;
-    ngraph::runtime::reference::squared_difference<T>(inputs[0]->get_data_ptr<const T>(),
-                                                      inputs[1]->get_data_ptr<const T>(),
-                                                      outputs[0]->get_data_ptr<T>(),
-                                                      inputs[0]->get_shape(),
-                                                      inputs[1]->get_shape(),
-                                                      op->get_autob());
+    ov::reference::squared_difference<T>(inputs[0]->get_data_ptr<const T>(),
+                                         inputs[1]->get_data_ptr<const T>(),
+                                         outputs[0]->get_data_ptr<T>(),
+                                         inputs[0]->get_shape(),
+                                         inputs[1]->get_shape(),
+                                         op->get_autob());
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/tensor_iterator.cpp b/src/plugins/template/backend/ops/tensor_iterator.cpp
index 118804ce8d0..4266186b592 100644
--- a/src/plugins/template/backend/ops/tensor_iterator.cpp
+++ b/src/plugins/template/backend/ops/tensor_iterator.cpp
@@ -9,9 +9,9 @@
 #include "tensor_conversion_util.hpp"
 
 namespace ti_v0 {
-ngraph::runtime::reference::custom_evaluate_function evaluate = [](const std::shared_ptr<ngraph::Function>& function,
-                                                                   const ngraph::HostTensorVector& inputs,
-                                                                   ngraph::HostTensorVector& outputs) -> void {
+ov::reference::custom_evaluate_function evaluate = [](const std::shared_ptr<ngraph::Function>& function,
+                                                      const ngraph::HostTensorVector& inputs,
+                                                      ngraph::HostTensorVector& outputs) -> void {
     const auto& parameters = function->get_parameters();
     const auto& parametersNumber = parameters.size();
     const auto& inputsNumber = inputs.size();
@@ -46,13 +46,13 @@ template <ngraph::element::Type_t ET>
 bool evaluate(const std::shared_ptr<ngraph::op::v0::TensorIterator>& op,
               const ngraph::HostTensorVector& outputs,
               const ngraph::HostTensorVector& inputs) {
-    ngraph::runtime::reference::tensor_iterator(op->get_num_iterations(),
-                                                op->get_function(),
-                                                op->get_output_descriptions(),
-                                                op->get_input_descriptions(),
-                                                outputs,
-                                                inputs,
-                                                ti_v0::evaluate);
+    ov::reference::tensor_iterator(op->get_num_iterations(),
+                                   op->get_function(),
+                                   op->get_output_descriptions(),
+                                   op->get_input_descriptions(),
+                                   outputs,
+                                   inputs,
+                                   ti_v0::evaluate);
     return true;
 }
 
diff --git a/src/plugins/template/backend/ops/unique.cpp b/src/plugins/template/backend/ops/unique.cpp
index 6732fac4032..da1c0d09e54 100644
--- a/src/plugins/template/backend/ops/unique.cpp
+++ b/src/plugins/template/backend/ops/unique.cpp
@@ -22,12 +22,12 @@ void execute_unique(const ngraph::HostTensorVector& outputs,
     };
 
     const auto unique_elements =
-        ngraph::runtime::reference::find_unique_elements<Data_t, Index_t, Count_t>(inputs[0]->get_data_ptr<Data_t>(),
-                                                                                   inputs[0]->get_shape(),
-                                                                                   maybe_extract_axis(),
-                                                                                   op->get_sorted());
+        ov::reference::find_unique_elements<Data_t, Index_t, Count_t>(inputs[0]->get_data_ptr<Data_t>(),
+                                                                      inputs[0]->get_shape(),
+                                                                      maybe_extract_axis(),
+                                                                      op->get_sorted());
     const auto tensor_shapes =
-        ngraph::runtime::reference::make_tensor_shapes(unique_elements, inputs[0]->get_shape(), maybe_extract_axis());
+        ov::reference::make_tensor_shapes(unique_elements, inputs[0]->get_shape(), maybe_extract_axis());
 
     auto& out_unique_elements = outputs[0];
     auto& out_indices = outputs[1];
@@ -39,14 +39,14 @@ void execute_unique(const ngraph::HostTensorVector& outputs,
     out_rev_indices->set_shape(std::get<2>(tensor_shapes));
     out_counts->set_shape(std::get<1>(tensor_shapes));
 
-    ngraph::runtime::reference::unique(out_unique_elements->get_data_ptr<Data_t>(),
-                                       out_indices->get_data_ptr<Index_t>(),
-                                       out_rev_indices->get_data_ptr<Index_t>(),
-                                       out_counts->get_data_ptr<Count_t>(),
-                                       inputs[0]->get_data_ptr<Data_t>(),
-                                       inputs[0]->get_shape(),
-                                       std::get<0>(tensor_shapes),
-                                       unique_elements);
+    ov::reference::unique(out_unique_elements->get_data_ptr<Data_t>(),
+                          out_indices->get_data_ptr<Index_t>(),
+                          out_rev_indices->get_data_ptr<Index_t>(),
+                          out_counts->get_data_ptr<Count_t>(),
+                          inputs[0]->get_data_ptr<Data_t>(),
+                          inputs[0]->get_shape(),
+                          std::get<0>(tensor_shapes),
+                          unique_elements);
 }
 
 template <ngraph::element::Type_t Data_ET>