diff --git a/src/frontends/tensorflow/src/decoder_proto.cpp b/src/frontends/tensorflow/src/decoder_proto.cpp
index 309f75ed886..f42c9bfbb4c 100644
--- a/src/frontends/tensorflow/src/decoder_proto.cpp
+++ b/src/frontends/tensorflow/src/decoder_proto.cpp
@@ -67,6 +67,9 @@ void extract_compressed_tensor_content(const ::tensorflow::TensorProto& tensor_p
             case ov::element::i64:
                 val_i = tensor_proto.int64_val()[i];
                 break;
+            case ov::element::f16:
+                val_i = float16::from_bits(tensor_proto.half_val()[i]);
+                break;
             case ov::element::f32:
                 val_i = tensor_proto.float_val()[i];
                 break;
@@ -227,6 +230,10 @@ ov::Any DecoderProto::get_attribute(const std::string& name) const {
                 val_size = tensor_proto.int64_val_size();
                 extract_compressed_tensor_content<int64_t>(tensor_proto, val_size, &res);
                 break;
+            case ov::element::f16:
+                val_size = tensor_proto.half_val_size();
+                extract_compressed_tensor_content<float16>(tensor_proto, val_size, &res);
+                break;
             case ov::element::f32:
                 val_size = tensor_proto.float_val_size();
                 extract_compressed_tensor_content<float>(tensor_proto, val_size, &res);
diff --git a/tests/layer_tests/tensorflow_tests/test_tf_BiasAdd.py b/tests/layer_tests/tensorflow_tests/test_tf_BiasAdd.py
index f851820afe2..90f74819f92 100644
--- a/tests/layer_tests/tensorflow_tests/test_tf_BiasAdd.py
+++ b/tests/layer_tests/tensorflow_tests/test_tf_BiasAdd.py
@@ -5,10 +5,11 @@ import pytest
 
 from common.tf_layer_test_class import CommonTFLayerTest
 from common.utils.tf_utils import permute_nchw_to_nhwc
-
+import tensorflow as tf
+import numpy as np
 
 class TestBiasAdd(CommonTFLayerTest):
-    def create_bias_add_placeholder_const_net(self, shape, ir_version, use_new_frontend):
+    def create_bias_add_placeholder_const_net(self, shape, ir_version, use_new_frontend, output_type=tf.float32):
         """
             Tensorflow net                      IR net
 
@@ -18,9 +19,6 @@ class TestBiasAdd(CommonTFLayerTest):
 
         """
 
-        import tensorflow as tf
-        import numpy as np
-
         tf.compat.v1.reset_default_graph()
 
         # Create the graph and model
@@ -30,8 +28,8 @@ class TestBiasAdd(CommonTFLayerTest):
             tf_x_shape = permute_nchw_to_nhwc(tf_x_shape, use_new_frontend)
             tf_y_shape = tf_x_shape[-1:]
 
-            x = tf.compat.v1.placeholder(tf.float32, tf_x_shape, 'Input')
-            constant_value = np.random.randint(0, 1, tf_y_shape).astype(np.float32)
+            x = tf.compat.v1.placeholder(output_type, tf_x_shape, 'Input')
+            constant_value = np.random.randint(0, 1, tf_y_shape).astype(output_type.as_numpy_dtype())
             if (constant_value == 0).all():
                 # Avoid elimination of the layer from IR
                 constant_value = constant_value + 1
@@ -42,17 +40,11 @@ class TestBiasAdd(CommonTFLayerTest):
             tf.compat.v1.global_variables_initializer()
             tf_net = sess.graph_def
 
-        #
-        #   Create reference IR net
-        #   Please, specify 'type': 'Input' for input node
-        #   Moreover, do not forget to validate ALL layer attributes!!!
-        #
-
         ref_net = None
 
         return tf_net, ref_net
 
-    def create_bias_add_2_consts_net(self, shape, ir_version, use_new_frontend):
+    def create_bias_add_2_consts_net(self, shape, ir_version, use_new_frontend, output_type=tf.float32):
         """
             Tensorflow net                         IR net
 
@@ -68,9 +60,6 @@ class TestBiasAdd(CommonTFLayerTest):
         #   Create Tensorflow model
         #
 
-        import tensorflow as tf
-        import numpy as np
-
         tf.compat.v1.reset_default_graph()
 
         tf_concat_axis = -1
@@ -82,14 +71,14 @@ class TestBiasAdd(CommonTFLayerTest):
             tf_x_shape = permute_nchw_to_nhwc(tf_x_shape, use_new_frontend)
             tf_y_shape = tf_x_shape[-1:]
 
-            constant_value_x = np.random.randint(-256, 256, tf_x_shape).astype(np.float32)
+            constant_value_x = np.random.randint(-256, 256, tf_x_shape).astype(output_type.as_numpy_dtype())
             x = tf.constant(constant_value_x)
-            constant_value_y = np.random.randint(-256, 256, tf_y_shape).astype(np.float32)
+            constant_value_y = np.random.randint(-256, 256, tf_y_shape).astype(output_type.as_numpy_dtype())
             y = tf.constant(constant_value_y)
 
             add = tf.nn.bias_add(x, y, name="Operation")
 
-            placeholder = tf.compat.v1.placeholder(tf.float32, tf_x_shape,
+            placeholder = tf.compat.v1.placeholder(output_type, tf_x_shape,
                                                    'Input')  # Input_1 in graph_def
 
             concat = tf.concat([placeholder, add], axis=tf_concat_axis, name='Operation')
@@ -97,12 +86,6 @@ class TestBiasAdd(CommonTFLayerTest):
             tf.compat.v1.global_variables_initializer()
             tf_net = sess.graph_def
 
-        #
-        #   Create reference IR net
-        #   Please, specify 'type': 'Input' for input node
-        #   Moreover, do not forget to validate ALL layer attributes!!!
-        #
-
         ref_net = None
 
         return tf_net, ref_net
@@ -155,7 +138,8 @@ class TestBiasAdd(CommonTFLayerTest):
 
     test_data_4D = [
         dict(shape=[1, 1, 100, 224]),
-        pytest.param(dict(shape=[1, 3, 100, 224]), marks=pytest.mark.precommit_tf_fe)
+        pytest.param(dict(shape=[1, 3, 100, 224]), marks=pytest.mark.precommit_tf_fe),
+        pytest.param(dict(shape=[1, 3, 100, 224], output_type=tf.float16), marks=pytest.mark.precommit_tf_fe)
     ]
 
     @pytest.mark.parametrize("params", test_data_4D)