diff --git a/inference-engine/src/transformations/src/transformations/serialize.cpp b/inference-engine/src/transformations/src/transformations/serialize.cpp
index fa1f473ddab..33c64233bd9 100644
--- a/inference-engine/src/transformations/src/transformations/serialize.cpp
+++ b/inference-engine/src/transformations/src/transformations/serialize.cpp
@@ -240,6 +240,8 @@ std::string get_output_precision_name(ngraph::Output<Node>& o) {
         return "FP32";
     case ::ngraph::element::Type_t::bf16:
         return "BF16";
+    case ::ngraph::element::Type_t::f64:
+        return "FP64";
     case ::ngraph::element::Type_t::i8:
         return "I8";
     case ::ngraph::element::Type_t::i16:
diff --git a/inference-engine/tests/functional/inference_engine/ir_serialization/models/add_abc_f64.xml b/inference-engine/tests/functional/inference_engine/ir_serialization/models/add_abc_f64.xml
new file mode 100644
index 00000000000..fa68bf0a77b
--- /dev/null
+++ b/inference-engine/tests/functional/inference_engine/ir_serialization/models/add_abc_f64.xml
@@ -0,0 +1,112 @@
+<?xml version="1.0" ?>
+<net name="add_abc" version="10">
+	<layers>
+		<layer id="0" name="A" type="Parameter" version="opset1">
+			<data element_type="f64" shape="1"/>
+			<output>
+				<port id="0" precision="FP64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="B" type="Parameter" version="opset1">
+			<data element_type="f64" shape="1"/>
+			<output>
+				<port id="0" precision="FP64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="add_node1" type="Add" version="opset1">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+				</port>
+				<port id="1">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="C" type="Parameter" version="opset1">
+			<data element_type="f64" shape="1"/>
+			<output>
+				<port id="0" precision="FP64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Y" type="Add" version="opset1">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+				</port>
+				<port id="1">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Y/sink_port_0" type="Result" version="opset1">
+			<input>
+				<port id="0">
+					<dim>1</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="0" 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="0" to-layer="4" to-port="1"/>
+		<edge from-layer="4" from-port="2" to-layer="5" to-port="0"/>
+	</edges>
+	<meta_data>
+		<MO_version value="unknown version"/>
+		<cli_parameters>
+			<caffe_parser_path value="DIR"/>
+			<data_type value="float"/>
+			<disable_nhwc_to_nchw value="False"/>
+			<disable_omitting_optional value="False"/>
+			<disable_resnet_optimization value="False"/>
+			<disable_weights_compression value="False"/>
+			<enable_concat_optimization value="False"/>
+			<enable_flattening_nested_params value="False"/>
+			<enable_ssd_gluoncv value="False"/>
+			<extensions value="DIR"/>
+			<framework value="onnx"/>
+			<freeze_placeholder_with_value value="{}"/>
+			<generate_deprecated_IR_V7 value="False"/>
+			<input_model value="DIR/add_abc.onnx"/>
+			<input_model_is_text value="False"/>
+			<k value="DIR/CustomLayersMapping.xml"/>
+			<keep_shape_ops value="True"/>
+			<legacy_mxnet_model value="False"/>
+			<log_level value="ERROR"/>
+			<mean_scale_values value="{}"/>
+			<mean_values value="()"/>
+			<model_name value="add_abc"/>
+			<output_dir value="DIR"/>
+			<placeholder_data_types value="{}"/>
+			<progress value="False"/>
+			<remove_memory value="False"/>
+			<remove_output_softmax value="False"/>
+			<reverse_input_channels value="False"/>
+			<save_params_from_nd value="False"/>
+			<scale_values value="()"/>
+			<silent value="False"/>
+			<static_shape value="False"/>
+			<stream_output value="False"/>
+			<unset unset_cli_parameters="batch, counts, disable_fusing, disable_gfusing, finegrain_fusing, input, input_checkpoint, input_meta_graph, input_proto, input_shape, input_symbol, mean_file, mean_file_offsets, move_to_preprocess, nd_prefix_name, output, placeholder_shapes, pretrained_model_name, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_use_custom_operations_config, transformations_config"/>
+		</cli_parameters>
+	</meta_data>
+</net>
diff --git a/inference-engine/tests/functional/inference_engine/ir_serialization/serialize.cpp b/inference-engine/tests/functional/inference_engine/ir_serialization/serialize.cpp
index 7357e7cb713..70984ec0be7 100644
--- a/inference-engine/tests/functional/inference_engine/ir_serialization/serialize.cpp
+++ b/inference-engine/tests/functional/inference_engine/ir_serialization/serialize.cpp
@@ -49,6 +49,7 @@ TEST_P(SerializationTest, CompareFunctions) {
 
 INSTANTIATE_TEST_CASE_P(IRSerialization, SerializationTest,
         testing::Values(std::make_tuple("add_abc.xml"),
+                        std::make_tuple("add_abc_f64.xml"),
                         std::make_tuple("split_equal_parts_2d.xml"),
                         std::make_tuple("addmul_abc.xml"),
                         std::make_tuple("add_abc_initializers.xml"),