diff --git a/src/frontends/tensorflow/src/op/depth_to_space.cpp b/src/frontends/tensorflow/src/op/depth_to_space.cpp
index e93ac4f8403..5b5f8f05a20 100644
--- a/src/frontends/tensorflow/src/op/depth_to_space.cpp
+++ b/src/frontends/tensorflow/src/op/depth_to_space.cpp
@@ -20,7 +20,7 @@ OutputVector translate_depth_to_space_op(const NodeContext& node) {
 
     // retrieve attributes
     auto block_size = node.get_attribute<int64_t>("block_size");
-    auto data_format = node.get_attribute<std::string>("data_format");
+    auto data_format = node.get_attribute<string>("data_format", "NHWC");
 
     TENSORFLOW_OP_VALIDATION(node,
                              data_format == "NHWC" || data_format == "NCHW",
diff --git a/src/frontends/tensorflow/src/op/space_to_depth.cpp b/src/frontends/tensorflow/src/op/space_to_depth.cpp
index b98d0b15078..5fe661f9037 100644
--- a/src/frontends/tensorflow/src/op/space_to_depth.cpp
+++ b/src/frontends/tensorflow/src/op/space_to_depth.cpp
@@ -14,20 +14,24 @@ namespace tensorflow {
 namespace op {
 
 OutputVector translate_space_to_depth_op(const NodeContext& node) {
-    auto input = node.get_input(0);
+    default_op_checks(node, 1, {"SpaceToDepth"});
+    auto input_data = node.get_input(0);
 
+    // retrieve attributes
     auto block_size = node.get_attribute<int64_t>("block_size");
-    auto data_format = node.get_attribute<string>("data_format");
-
-    TENSORFLOW_OP_VALIDATION(node, data_format == "NHWC" || data_format == "NCHW", "Unsupported data format.");
+    auto data_format = node.get_attribute<string>("data_format", "NHWC");
 
+    TENSORFLOW_OP_VALIDATION(node,
+                             data_format == "NHWC" || data_format == "NCHW",
+                             "TensorFlow Frontend supports input data for SpaceToDepth either in NHWC or NCHW format.");
     bool is_nhwc = (data_format == "NHWC");
-    convert_nhwc_to_nchw(is_nhwc, input);
-    auto ng_mode = SpaceToDepth::SpaceToDepthMode::BLOCKS_FIRST;
-    auto res = make_shared<SpaceToDepth>(input, ng_mode, block_size)->output(0);
-    convert_nchw_to_nhwc(is_nhwc, res);
-    set_node_name(node.get_name(), res.get_node_shared_ptr());
-    return {res};
+
+    convert_nhwc_to_nchw(is_nhwc, input_data);
+    auto mode = SpaceToDepth::SpaceToDepthMode::BLOCKS_FIRST;
+    auto space_to_depth = make_shared<SpaceToDepth>(input_data, mode, block_size)->output(0);
+    convert_nchw_to_nhwc(is_nhwc, space_to_depth);
+    set_node_name(node.get_name(), space_to_depth.get_node_shared_ptr());
+    return {space_to_depth};
 }
 }  // namespace op
 }  // namespace tensorflow
diff --git a/tests/layer_tests/tensorflow_tests/test_tf_SpaceToDepth.py b/tests/layer_tests/tensorflow_tests/test_tf_SpaceToDepth.py
new file mode 100644
index 00000000000..b884327b0b7
--- /dev/null
+++ b/tests/layer_tests/tensorflow_tests/test_tf_SpaceToDepth.py
@@ -0,0 +1,35 @@
+# Copyright (C) 2018-2022 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import pytest
+import tensorflow as tf
+from common.tf_layer_test_class import CommonTFLayerTest
+
+
+class TestSpaceToDepth(CommonTFLayerTest):
+    def create_space_to_depth_net(self, input_shape, block_size, data_format):
+        tf.compat.v1.reset_default_graph()
+        # Create the graph and model
+        with tf.compat.v1.Session() as sess:
+            x = tf.compat.v1.placeholder(tf.float32, input_shape, 'x')
+            tf.raw_ops.SpaceToDepth(input=x, block_size=block_size, data_format=data_format)
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        return tf_net, None
+
+    test_data_basic = [
+        dict(input_shape=[2, 12, 16, 3], block_size=2, data_format='NHWC'),
+        dict(input_shape=[3, 6, 15, 2], block_size=3, data_format='NHWC'),
+        # On CPU TensorFlow does not support 'NCHW' for SpaceToDepth
+        # dict(input_shape=[2, 3, 10, 10], block_size=5, data_format='NCHW'),
+    ]
+
+    @pytest.mark.parametrize("params", test_data_basic)
+    @pytest.mark.precommit_tf_fe
+    @pytest.mark.nightly
+    def test_space_to_depth_basic(self, params, ie_device, precision, ir_version, temp_dir,
+                                  use_new_frontend, use_old_api):
+        self._test(*self.create_space_to_depth_net(**params),
+                   ie_device, precision, ir_version, temp_dir=temp_dir,
+                   use_new_frontend=use_new_frontend, use_old_api=use_old_api)