diff --git a/tf_adapter/kernels/aicpu/npu_cpu_ops.cc b/tf_adapter/kernels/aicpu/npu_cpu_ops.cc
index ff9dc6d2ffe9fbae28d9febe6bef0b50b4a5d5df..39b2a32185befd51de43507e4ebd993aeaceb4e1 100644
--- a/tf_adapter/kernels/aicpu/npu_cpu_ops.cc
+++ b/tf_adapter/kernels/aicpu/npu_cpu_ops.cc
@@ -221,6 +221,13 @@ class ScatterElementsV2Op : public OpKernel {
   }
 };
 
+class PrecisionCompareOp : public OpKernel {
+ public:
+  explicit PrecisionCompareOp(OpKernelConstruction *context) : OpKernel(context) {}
+  ~PrecisionCompareOp() override {}
+  void Compute(OpKernelContext *context) override { ADP_LOG(INFO) << "PrecisionCompareOp Compute"; }
+};
+
 REGISTER_KERNEL_BUILDER(Name("ScatterElementsV2").Device(DEVICE_CPU), ScatterElementsV2Op);
 REGISTER_KERNEL_BUILDER(Name("EmbeddingRankId").Device(DEVICE_CPU), EmbeddingRankIdOpKernel);
 REGISTER_KERNEL_BUILDER(Name("EmbeddingLocalIndex").Device(DEVICE_CPU), EmbeddingLocalIndexOpKernel);
@@ -242,6 +249,7 @@ REGISTER_KERNEL_BUILDER(Name("NonZeroWithValueShape").Device(DEVICE_CPU), NonZer
 REGISTER_KERNEL_BUILDER(Name("NonZeroWithValueShapeV2").Device(DEVICE_CPU), NonZeroWithValueShapeV2Op);
 REGISTER_KERNEL_BUILDER(Name("WarpAffineV2").Device(DEVICE_CPU), WarpAffineV2Op);
 REGISTER_KERNEL_BUILDER(Name("ResizeV2").Device(DEVICE_CPU), ResizeV2Op);
+REGISTER_KERNEL_BUILDER(Name("PrecisionCompare").Device(DEVICE_CPU), PrecisionCompareOp);
 
 class DecodeImageV3Op : public OpKernel {
 public:
diff --git a/tf_adapter/ops/aicpu/npu_cpu_ops.cc b/tf_adapter/ops/aicpu/npu_cpu_ops.cc
index 40857b44989f707098f76c2f6a00ca1930d70969..048ea0c04138bfcbb11eda7909cb10de57169507 100644
--- a/tf_adapter/ops/aicpu/npu_cpu_ops.cc
+++ b/tf_adapter/ops/aicpu/npu_cpu_ops.cc
@@ -627,4 +627,12 @@ REGISTER_OP("ResizeV2")
     .Output("image: dtype")
     .Attr("expand_animations: bool = true")
     .SetShapeFn(DecodeImageV3ShapeFn);
+
+    REGISTER_OP("PrecisionCompare")
+        .Input("x1: T")
+        .Input("x2: T")
+        .Output("y: uint32")
+        .Attr("detect_type: int = 0")
+        .Attr("T: {float32, float16, bfloat16}")
+        .SetShapeFn(tensorflow::shape_inference::ScalarShape);
 }  // namespace tensorflow
diff --git a/tf_adapter/python/npu_bridge/npu_cpu/npu_cpu_ops.py b/tf_adapter/python/npu_bridge/npu_cpu/npu_cpu_ops.py
index b247e96a9d5c243b37f00fe102982670a3b586b8..c49ef9fc55ef674fb5a6afd192084aaee0312130 100644
--- a/tf_adapter/python/npu_bridge/npu_cpu/npu_cpu_ops.py
+++ b/tf_adapter/python/npu_bridge/npu_cpu/npu_cpu_ops.py
@@ -465,3 +465,14 @@ def host_feature_mapping_import(path):
     """ host feature mapping export. """
     result = gen_npu_cpu_ops.FeatureMappingImport(path=path)
     return result
+
+## 提供硬件精度检测功能
+#  @param golden 支持float/float16/bfloat16类型
+#  @param realdata 支持float/float16/bfloat16类型
+#  @param detect_type int32 类型, 取值范围：0/1/2
+#  @return uint32
+def precision_compare(golden, realdata, detect_type):
+    """ precision compare. """
+    result = gen_npu_cpu_ops.PrecisionCompare(
+        x1=golden, x2=realdata, detect_type=detect_type)
+    return result