diff --git a/neural_compressor/adaptor/pytorch.py b/neural_compressor/adaptor/pytorch.py
index 5909de644ac..1dfc27c1237 100644
--- a/neural_compressor/adaptor/pytorch.py
+++ b/neural_compressor/adaptor/pytorch.py
@@ -1242,6 +1242,8 @@ def _combine_capability(self, bf16_ops, q_capability):
                 q_capability["opwise"][bf16_op] = [bf16_config, fp32_config]
                 if bf16_op[1] not in q_capability["optypewise"]:
                     q_capability["optypewise"][bf16_op[1]] = [bf16_config, fp32_config]
+            if bf16_op[1] in q_capability["optypewise"] and bf16_config not in q_capability["optypewise"][bf16_op[1]]:
+                q_capability["optypewise"][bf16_op[1]].append(bf16_config)
         return q_capability
 
     def get_fused_list(self, model):
diff --git a/test/adaptor/pytorch_adaptor/test_adaptor_pytorch_1x.py b/test/adaptor/pytorch_adaptor/test_adaptor_pytorch_1x.py
index b13c6ff5a76..be1accfaaf6 100644
--- a/test/adaptor/pytorch_adaptor/test_adaptor_pytorch_1x.py
+++ b/test/adaptor/pytorch_adaptor/test_adaptor_pytorch_1x.py
@@ -1103,16 +1103,18 @@ def test_bf16_capability(self):
         os.environ["FORCE_BF16"] = "1"
         q_capability = self.adaptor._get_quantizable_ops(model_origin)
         del os.environ["FORCE_BF16"]
-
-        self.assertEqual([elem["weight"]["dtype"] for elem in q_capability["optypewise"]["Conv2d"]], [["int8"], "fp32"])
         self.assertEqual(
-            [elem["activation"]["dtype"] for elem in q_capability["optypewise"]["Conv2d"]], [["uint8"], "fp32"]
+            [elem["weight"]["dtype"] for elem in q_capability["optypewise"]["Conv2d"]], [["int8"], "fp32", "bf16"]
+        )
+        self.assertEqual(
+            [elem["activation"]["dtype"] for elem in q_capability["optypewise"]["Conv2d"]], [["uint8"], "fp32", "bf16"]
         )
         self.assertEqual(
-            [elem["weight"]["dtype"] for elem in q_capability["opwise"][("conv", "Conv2d")]], [["int8"], "fp32"]
+            [elem["weight"]["dtype"] for elem in q_capability["opwise"][("conv", "Conv2d")]], [["int8"], "fp32", "bf16"]
         )
         self.assertEqual(
-            [elem["activation"]["dtype"] for elem in q_capability["opwise"][("conv", "Conv2d")]], [["uint8"], "fp32"]
+            [elem["activation"]["dtype"] for elem in q_capability["opwise"][("conv", "Conv2d")]],
+            [["uint8"], "fp32", "bf16"],
         )
         self.assertEqual(
             [elem["weight"]["dtype"] for elem in q_capability["opwise"][("linear", "Linear")]],