diff --git a/src/bindings/python/tests/conftest.py b/src/bindings/python/tests/conftest.py
index c091b4247e1..c8e95b13729 100644
--- a/src/bindings/python/tests/conftest.py
+++ b/src/bindings/python/tests/conftest.py
@@ -6,23 +6,6 @@ import os
 import pytest
 
 
-def model_path(is_fp16=False):
-    base_path = os.path.dirname(__file__)
-    if is_fp16:
-        test_xml = os.path.join(base_path, "utils", "utils", "test_model_fp16.xml")
-        test_bin = os.path.join(base_path, "utils", "utils", "test_model_fp16.bin")
-    else:
-        test_xml = os.path.join(base_path, "utils", "utils", "test_model_fp32.xml")
-        test_bin = os.path.join(base_path, "utils", "utils", "test_model_fp32.bin")
-    return (test_xml, test_bin)
-
-
-def model_onnx_path():
-    base_path = os.path.dirname(__file__)
-    test_onnx = os.path.join(base_path, "test_utils", "utils", "test_model.onnx")
-    return test_onnx
-
-
 def pytest_configure(config):
 
     # register additional markers
diff --git a/src/bindings/python/tests/utils/utils/test_model.onnx b/src/bindings/python/tests/utils/utils/test_model.onnx
deleted file mode 100644
index 333053b81fe..00000000000
Binary files a/src/bindings/python/tests/utils/utils/test_model.onnx and /dev/null differ
diff --git a/src/bindings/python/tests/utils/utils/test_model_fp16.bin b/src/bindings/python/tests/utils/utils/test_model_fp16.bin
deleted file mode 100644
index 8b86761726a..00000000000
Binary files a/src/bindings/python/tests/utils/utils/test_model_fp16.bin and /dev/null differ
diff --git a/src/bindings/python/tests/utils/utils/test_model_fp16.xml b/src/bindings/python/tests/utils/utils/test_model_fp16.xml
deleted file mode 100644
index d80918c2ecd..00000000000
--- a/src/bindings/python/tests/utils/utils/test_model_fp16.xml
+++ /dev/null
@@ -1,467 +0,0 @@
-<?xml version="1.0" ?>
-<net name="test_model" version="10">
-	<layers>
-		<layer id="0" name="data" type="Parameter" version="opset1">
-			<data element_type="f16" shape="1,3,32,32"/>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>3</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1" name="20/mean/Fused_Mul_614616_const" type="Const" version="opset1">
-			<data element_type="f16" offset="0" shape="16,3,5,5" size="2400"/>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>16</dim>
-					<dim>3</dim>
-					<dim>5</dim>
-					<dim>5</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2" name="19/WithoutBiases" type="Convolution" version="opset1">
-			<data dilations="1,1" output_padding="0,0" pads_begin="2,2" pads_end="2,2" strides="1,1"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>3</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-				<port id="1">
-					<dim>16</dim>
-					<dim>3</dim>
-					<dim>5</dim>
-					<dim>5</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3" name="data_add_575/copy_const" type="Const" version="opset1">
-			<data element_type="f16" offset="2400" shape="1,16,1,1" size="32"/>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4" name="19/Fused_Add_" type="Add" version="opset1">
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-				<port id="1">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5" name="21" type="ReLU" version="opset1">
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6" name="22" type="MaxPool" version="opset1">
-			<data kernel="2,2" pads_begin="0,0" pads_end="0,0" rounding_type="floor" strides="2,2"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>16</dim>
-					<dim>16</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7" name="onnx_initializer_node_8/Output_0/Data__const" type="Const" version="opset1">
-			<data element_type="f16" offset="2432" shape="32,16,5,5" size="25600"/>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>32</dim>
-					<dim>16</dim>
-					<dim>5</dim>
-					<dim>5</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="8" name="23/WithoutBiases" type="Convolution" version="opset1">
-			<data dilations="1,1" output_padding="0,0" pads_begin="2,2" pads_end="2,2" strides="1,1"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>16</dim>
-					<dim>16</dim>
-				</port>
-				<port id="1">
-					<dim>32</dim>
-					<dim>16</dim>
-					<dim>5</dim>
-					<dim>5</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>16</dim>
-					<dim>16</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="9" name="23/Dims351/copy_const" type="Const" version="opset1">
-			<data element_type="f16" offset="28032" shape="1,32,1,1" size="64"/>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="10" name="23" type="Add" version="opset1">
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>16</dim>
-					<dim>16</dim>
-				</port>
-				<port id="1">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>16</dim>
-					<dim>16</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="11" name="25/mean/Fused_Mul_618620_const" type="Const" version="opset1">
-			<data element_type="f16" offset="28096" shape="64,32,3,3" size="36864"/>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>64</dim>
-					<dim>32</dim>
-					<dim>3</dim>
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="12" name="24/WithoutBiases" type="Convolution" version="opset1">
-			<data dilations="1,1" output_padding="0,0" pads_begin="2,2" pads_end="2,2" strides="1,1"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>32</dim>
-					<dim>16</dim>
-					<dim>16</dim>
-				</port>
-				<port id="1">
-					<dim>64</dim>
-					<dim>32</dim>
-					<dim>3</dim>
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>18</dim>
-					<dim>18</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="13" name="data_add_578583/copy_const" type="Const" version="opset1">
-			<data element_type="f16" offset="64960" shape="1,64,1,1" size="128"/>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="14" name="24/Fused_Add_" type="Add" version="opset1">
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>18</dim>
-					<dim>18</dim>
-				</port>
-				<port id="1">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>18</dim>
-					<dim>18</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="15" name="26" type="ReLU" version="opset1">
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>18</dim>
-					<dim>18</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>18</dim>
-					<dim>18</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="16" name="27" type="MaxPool" version="opset1">
-			<data kernel="2,2" pads_begin="0,0" pads_end="0,0" rounding_type="floor" strides="2,2"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>18</dim>
-					<dim>18</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>9</dim>
-					<dim>9</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="17" name="28/Reshape/Cast_1955_const" type="Const" version="opset1">
-			<data element_type="i64" offset="65088" shape="2" size="16"/>
-			<output>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="18" name="28/Reshape" type="Reshape" version="opset1">
-			<data special_zero="True"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>9</dim>
-					<dim>9</dim>
-				</port>
-				<port id="1">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>5184</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="19" name="onnx_initializer_node_17/Output_0/Data__const" type="Const" version="opset1">
-			<data element_type="f16" offset="65104" shape="10,5184" size="103680"/>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>10</dim>
-					<dim>5184</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="20" name="29/WithoutBiases" type="MatMul" version="opset1">
-			<data transpose_a="0" transpose_b="1"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>5184</dim>
-				</port>
-				<port id="1">
-					<dim>10</dim>
-					<dim>5184</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>10</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="21" name="onnx_initializer_node_18/Output_0/Data_/copy_const" type="Const" version="opset1">
-			<data element_type="f16" offset="168784" shape="1,10" size="20"/>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>10</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="22" name="29" type="Add" version="opset1">
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>10</dim>
-				</port>
-				<port id="1">
-					<dim>1</dim>
-					<dim>10</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>1</dim>
-					<dim>10</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="23" name="fc_out" type="SoftMax" version="opset1">
-			<data axis="1"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>10</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>1</dim>
-					<dim>10</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="24" name="fc_out/sink_port_0" type="Result" version="opset1">
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>10</dim>
-				</port>
-			</input>
-		</layer>
-	</layers>
-	<edges>
-		<edge from-layer="0" from-port="0" to-layer="2" to-port="0"/>
-		<edge from-layer="1" from-port="1" to-layer="2" to-port="1"/>
-		<edge from-layer="2" from-port="2" to-layer="4" to-port="0"/>
-		<edge from-layer="3" from-port="1" to-layer="4" to-port="1"/>
-		<edge from-layer="4" from-port="2" to-layer="5" to-port="0"/>
-		<edge from-layer="5" from-port="1" to-layer="6" to-port="0"/>
-		<edge from-layer="6" from-port="1" to-layer="8" to-port="0"/>
-		<edge from-layer="7" from-port="1" to-layer="8" to-port="1"/>
-		<edge from-layer="8" from-port="2" to-layer="10" to-port="0"/>
-		<edge from-layer="9" from-port="1" to-layer="10" to-port="1"/>
-		<edge from-layer="10" from-port="2" to-layer="12" to-port="0"/>
-		<edge from-layer="11" from-port="1" to-layer="12" to-port="1"/>
-		<edge from-layer="12" from-port="2" to-layer="14" to-port="0"/>
-		<edge from-layer="13" from-port="1" to-layer="14" to-port="1"/>
-		<edge from-layer="14" from-port="2" to-layer="15" to-port="0"/>
-		<edge from-layer="15" from-port="1" to-layer="16" to-port="0"/>
-		<edge from-layer="16" from-port="1" to-layer="18" to-port="0"/>
-		<edge from-layer="17" from-port="1" to-layer="18" to-port="1"/>
-		<edge from-layer="18" from-port="2" to-layer="20" to-port="0"/>
-		<edge from-layer="19" from-port="1" to-layer="20" to-port="1"/>
-		<edge from-layer="20" from-port="2" to-layer="22" to-port="0"/>
-		<edge from-layer="21" from-port="1" to-layer="22" to-port="1"/>
-		<edge from-layer="22" from-port="2" to-layer="23" to-port="0"/>
-		<edge from-layer="23" from-port="1" to-layer="24" to-port="0"/>
-	</edges>
-	<meta_data>
-		<MO_version value="unknown version"/>
-		<cli_parameters>
-			<blobs_as_inputs value="True"/>
-			<data_type value="FP16"/>
-			<disable_resnet_optimization value="False"/>
-			<disable_weights_compression value="False"/>
-			<enable_concat_optimization value="False"/>
-			<extensions value="DIR"/>
-			<framework value="onnx"/>
-			<freeze_placeholder_with_value value="{}"/>
-			<generate_deprecated_IR_V2 value="False"/>
-			<generate_deprecated_IR_V7 value="False"/>
-			<generate_experimental_IR_V10 value="True"/>
-			<input_model value="DIR/test_model.onnx"/>
-			<keep_quantize_ops_in_IR value="True"/>
-			<keep_shape_ops value="False"/>
-			<log_level value="ERROR"/>
-			<mean_scale_values value="{}"/>
-			<mean_values value="()"/>
-			<model_name value="test_model"/>
-			<move_to_preprocess value="False"/>
-			<output_dir value="DIR"/>
-			<placeholder_data_types value="{}"/>
-			<progress value="False"/>
-			<reverse_input_channels value="False"/>
-			<scale_values value="()"/>
-			<silent value="False"/>
-			<stream_output value="False"/>
-			<unset unset_cli_parameters="batch, disable_fusing, disable_gfusing, finegrain_fusing, input, input_shape, output, placeholder_shapes, scale, transformations_config"/>
-		</cli_parameters>
-	</meta_data>
-</net>
diff --git a/src/bindings/python/tests/utils/utils/test_model_fp32.bin b/src/bindings/python/tests/utils/utils/test_model_fp32.bin
deleted file mode 100644
index b5f85e41083..00000000000
Binary files a/src/bindings/python/tests/utils/utils/test_model_fp32.bin and /dev/null differ
diff --git a/src/bindings/python/tests/utils/utils/test_model_fp32.xml b/src/bindings/python/tests/utils/utils/test_model_fp32.xml
deleted file mode 100644
index dcf0cd74b06..00000000000
--- a/src/bindings/python/tests/utils/utils/test_model_fp32.xml
+++ /dev/null
@@ -1,467 +0,0 @@
-<?xml version="1.0" ?>
-<net name="test_model" version="10">
-	<layers>
-		<layer id="0" name="data" type="Parameter" version="opset1">
-			<data element_type="f32" shape="1,3,32,32"/>
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>3</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1" name="20/mean/Fused_Mul_614616_const" type="Const" version="opset1">
-			<data element_type="f32" offset="0" shape="16,3,5,5" size="4800"/>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>16</dim>
-					<dim>3</dim>
-					<dim>5</dim>
-					<dim>5</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2" name="19/WithoutBiases" type="Convolution" version="opset1">
-			<data dilations="1,1" output_padding="0,0" pads_begin="2,2" pads_end="2,2" strides="1,1"/>
-			<input>
-				<port id="0">
-					<dim>1</dim>
-					<dim>3</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-				<port id="1">
-					<dim>16</dim>
-					<dim>3</dim>
-					<dim>5</dim>
-					<dim>5</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>16</dim>
-					<dim>32</dim>
-					<dim>32</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3" name="data_add_575/copy_const" type="Const" version="opset1">
-			<data element_type="f32" offset="4800" shape="1,16,1,1" size="64"/>
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