diff --git a/src/bindings/python/src/openvino/runtime/utils/data_helpers/data_dispatcher.py b/src/bindings/python/src/openvino/runtime/utils/data_helpers/data_dispatcher.py
index bce10c9c3774ef..9b14a9f13c3ea4 100644
--- a/src/bindings/python/src/openvino/runtime/utils/data_helpers/data_dispatcher.py
+++ b/src/bindings/python/src/openvino/runtime/utils/data_helpers/data_dispatcher.py
@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 from functools import singledispatch
-from typing import Any, Dict, Union, Optional
+from typing import Any, Dict, Union, Optional, List
 
 import numpy as np
 
@@ -41,6 +41,16 @@ def get_request_tensor(
         raise TypeError(f"Unsupported key type: {type(key)} for Tensor under key: {key}")
 
 
+def is_all_ascii(input_array: Union[np.ndarray, List[bytes]]) -> bool:
+    def isascii(data: Union[str, bytes]) -> bool:
+        if isinstance(data, bytes):
+            data = data.decode("utf-8")
+        return data.isascii()
+    v_isascii = np.vectorize(isascii)
+    ascii_flags = v_isascii(input_array)
+    return ascii_flags.all()
+
+
 @singledispatch
 def value_to_tensor(
     value: Union[Tensor, np.ndarray, ScalarTypes, str],
@@ -321,7 +331,11 @@ def _(
             tensor.shape = inputs.shape
         # When copying, type should be up/down-casted automatically.
         if tensor.element_type == Type.string:
-            tensor.bytes_data = inputs
+            # Edge case resolving assignment segfaults on GPU
+            if is_all_ascii(inputs) and inputs.dtype.char == "U" and inputs.flags["F_CONTIGUOUS"]:
+                tensor.bytes_data[:] = inputs[:]
+            else:
+                tensor.bytes_data = inputs
         else:
             tensor.data[:] = inputs[:]
     else:
diff --git a/tests/layer_tests/tensorflow_tests/test_tf_LookupTableSize.py b/tests/layer_tests/tensorflow_tests/test_tf_LookupTableSize.py
index e0050c245f1321..04831c5604358a 100644
--- a/tests/layer_tests/tensorflow_tests/test_tf_LookupTableSize.py
+++ b/tests/layer_tests/tensorflow_tests/test_tf_LookupTableSize.py
@@ -68,9 +68,6 @@ def create_lookup_table_size_net(self, hash_table_type, keys_type, values_type,
     @pytest.mark.nightly
     def test_lookup_table_size(self, hash_table_type, params, ie_device, precision, ir_version, temp_dir,
                                use_legacy_frontend):
-        keys_type = params['keys_type']
-        if ie_device == 'GPU' and keys_type == str:
-            pytest.skip("148921: Segmentation fault on GPU")
         self._test(*self.create_lookup_table_size_net(hash_table_type=hash_table_type, **params),
                    ie_device, precision, ir_version, temp_dir=temp_dir,
                    use_legacy_frontend=use_legacy_frontend)