diff --git a/neural_compressor/torch/algorithms/pt2e_quant/utility.py b/neural_compressor/torch/algorithms/pt2e_quant/utility.py
index ecf14ec02a7..966baf0e53a 100644
--- a/neural_compressor/torch/algorithms/pt2e_quant/utility.py
+++ b/neural_compressor/torch/algorithms/pt2e_quant/utility.py
@@ -21,7 +21,7 @@
 from torch.ao.quantization.quantizer import QuantizationSpec
 from torch.ao.quantization.quantizer.x86_inductor_quantizer import QuantizationConfig, X86InductorQuantizer
 
-from neural_compressor.torch.utils import GT_TORCH_VERSION_2_3_2
+from neural_compressor.torch.utils import GT_OR_EQUAL_TORCH_VERSION_2_5
 
 
 def create_quant_spec_from_config(dtype, sym, granularity, algo, is_dynamic=False) -> QuantizationSpec:
@@ -102,8 +102,8 @@ def create_xiq_quantizer_from_pt2e_config(config, is_dynamic=False) -> X86Induct
     # set global
     global_config = _map_inc_config_to_torch_quant_config(config, is_dynamic)
     quantizer.set_global(global_config)
-    # need torch >= 2.3.2
-    if GT_TORCH_VERSION_2_3_2:  # pragma: no cover
+    # need torch >= 2.5
+    if GT_OR_EQUAL_TORCH_VERSION_2_5:  # pragma: no cover
         op_type_config_dict, op_name_config_dict = config._get_op_name_op_type_config()
         if op_type_config_dict:
             for op_type, config in op_type_config_dict.items():
diff --git a/neural_compressor/torch/utils/environ.py b/neural_compressor/torch/utils/environ.py
index aa6b9affba0..444aaa95f3d 100644
--- a/neural_compressor/torch/utils/environ.py
+++ b/neural_compressor/torch/utils/environ.py
@@ -104,7 +104,7 @@ def get_torch_version():
     return version
 
 
-GT_TORCH_VERSION_2_3_2 = get_torch_version() > Version("2.3.2")
+GT_OR_EQUAL_TORCH_VERSION_2_5 = get_torch_version() >= Version("2.5")
 
 
 def get_accelerator(device_name="auto"):
diff --git a/test/3x/torch/quantization/test_pt2e_quant.py b/test/3x/torch/quantization/test_pt2e_quant.py
index d55e9004a3a..ab80e991203 100644
--- a/test/3x/torch/quantization/test_pt2e_quant.py
+++ b/test/3x/torch/quantization/test_pt2e_quant.py
@@ -15,7 +15,7 @@
     prepare,
     quantize,
 )
-from neural_compressor.torch.utils import GT_TORCH_VERSION_2_3_2, TORCH_VERSION_2_2_2, get_torch_version
+from neural_compressor.torch.utils import GT_OR_EQUAL_TORCH_VERSION_2_5, TORCH_VERSION_2_2_2, get_torch_version
 
 torch.manual_seed(0)
 
@@ -131,7 +131,7 @@ def calib_fn(model):
         logger.warning("out shape is %s", out.shape)
         assert out is not None
 
-    @pytest.mark.skipif(not GT_TORCH_VERSION_2_3_2, reason="Requires torch>=2.3.2")
+    @pytest.mark.skipif(not GT_OR_EQUAL_TORCH_VERSION_2_5, reason="Requires torch>=2.5")
     def test_quantize_simple_model_with_set_local(self, force_not_import_ipex):
         model, example_inputs = self.build_simple_torch_model_and_example_inputs()
         float_model_output = model(*example_inputs)
@@ -243,7 +243,7 @@ def get_node_in_graph(graph_module):
                     nodes_in_graph[n] = 1
         return nodes_in_graph
 
-    @pytest.mark.skipif(not GT_TORCH_VERSION_2_3_2, reason="Requires torch>=2.3.0")
+    @pytest.mark.skipif(not GT_OR_EQUAL_TORCH_VERSION_2_5, reason="Requires torch>=2.5")
     def test_mixed_fp16_and_int8(self, force_not_import_ipex):
         model, example_inputs = self.build_model_include_conv_and_linear()
         model = export(model, example_inputs=example_inputs)