diff --git a/onnxruntime/core/providers/webgpu/reduction/reduction_ops.cc b/onnxruntime/core/providers/webgpu/reduction/reduction_ops.cc
index 1a56cafdb3952..a0213f63494d3 100644
--- a/onnxruntime/core/providers/webgpu/reduction/reduction_ops.cc
+++ b/onnxruntime/core/providers/webgpu/reduction/reduction_ops.cc
@@ -11,7 +11,7 @@
 namespace onnxruntime {
 namespace webgpu {
 
-#define REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceOp, begin, end)              \
+#define REGISTER_REDUCE_VERSIONED_KERNEL(ReduceOp, begin, end)                         \
   ONNX_OPERATOR_VERSIONED_KERNEL_EX(                                                   \
       ReduceOp,                                                                        \
       kOnnxDomain,                                                                     \
@@ -20,7 +20,16 @@ namespace webgpu {
       (*KernelDefBuilder::Create()).TypeConstraint("T", WebGpuSupportedNumberTypes()), \
       ReduceOp);
 
-#define REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceOp, version)                                                                  \
+#define REGISTER_REDUCE_VERSIONED_KERNEL_WITH_AXIS_IN_INPUT(ReduceOp, begin, end)                                             \
+  ONNX_OPERATOR_VERSIONED_KERNEL_EX(                                                                                          \
+      ReduceOp,                                                                                                               \
+      kOnnxDomain,                                                                                                            \
+      begin, end,                                                                                                             \
+      kWebGpuExecutionProvider,                                                                                               \
+      (*KernelDefBuilder::Create()).TypeConstraint("T", WebGpuSupportedNumberTypes()).InputMemoryType(OrtMemTypeCPUInput, 1), \
+      ReduceOp);
+
+#define REGISTER_REDUCE_KERNEL(ReduceOp, version)                                                                             \
   ONNX_OPERATOR_KERNEL_EX(                                                                                                    \
       ReduceOp,                                                                                                               \
       kOnnxDomain,                                                                                                            \
@@ -29,58 +38,58 @@ namespace webgpu {
       (*KernelDefBuilder::Create()).TypeConstraint("T", WebGpuSupportedNumberTypes()).InputMemoryType(OrtMemTypeCPUInput, 1), \
       ReduceOp);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMean, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMean, 11, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMean, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceMean, 18);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMean, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMean, 11, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMean, 13, 17);
+REGISTER_REDUCE_KERNEL(ReduceMean, 18);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMax, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMax, 11, 11);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMax, 12, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMax, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMax, 18, 19);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceMax, 20);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMax, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMax, 11, 11);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMax, 12, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMax, 13, 17);
+REGISTER_REDUCE_VERSIONED_KERNEL_WITH_AXIS_IN_INPUT(ReduceMax, 18, 19);
+REGISTER_REDUCE_KERNEL(ReduceMax, 20);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMin, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMin, 11, 11);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMin, 12, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMin, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMin, 18, 19);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceMin, 20);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMin, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMin, 11, 11);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMin, 12, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceMin, 13, 17);
+REGISTER_REDUCE_VERSIONED_KERNEL_WITH_AXIS_IN_INPUT(ReduceMin, 18, 19);
+REGISTER_REDUCE_KERNEL(ReduceMin, 20);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceSum, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceSum, 11, 12);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceSum, 13);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceSum, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceSum, 11, 12);
+REGISTER_REDUCE_KERNEL(ReduceSum, 13);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceProd, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceProd, 11, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceProd, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceProd, 18);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceProd, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceProd, 11, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceProd, 13, 17);
+REGISTER_REDUCE_KERNEL(ReduceProd, 18);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL1, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL1, 11, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL1, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceL1, 18);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceL1, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceL1, 11, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceL1, 13, 17);
+REGISTER_REDUCE_KERNEL(ReduceL1, 18);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL2, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL2, 11, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL2, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceL2, 18);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceL2, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceL2, 11, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceL2, 13, 17);
+REGISTER_REDUCE_KERNEL(ReduceL2, 18);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSum, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSum, 11, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSum, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceLogSum, 18);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceLogSum, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceLogSum, 11, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceLogSum, 13, 17);
+REGISTER_REDUCE_KERNEL(ReduceLogSum, 18);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceSumSquare, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceSumSquare, 11, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceSumSquare, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceSumSquare, 18);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceSumSquare, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceSumSquare, 11, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceSumSquare, 13, 17);
+REGISTER_REDUCE_KERNEL(ReduceSumSquare, 18);
 
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSumExp, 1, 10);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSumExp, 11, 12);
-REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSumExp, 13, 17);
-REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceLogSumExp, 18);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceLogSumExp, 1, 10);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceLogSumExp, 11, 12);
+REGISTER_REDUCE_VERSIONED_KERNEL(ReduceLogSumExp, 13, 17);
+REGISTER_REDUCE_KERNEL(ReduceLogSumExp, 18);
 
 Status ReduceKernelProgram::GenerateShaderCode(ShaderHelper& shader) const {
   const auto& output = shader.AddOutput("output", ShaderUsage::UseUniform | ShaderUsage::UseIndicesTypeAlias | ShaderUsage::UseValueTypeAlias);
diff --git a/onnxruntime/test/testdata/onnx_backend_test_series_filters.jsonc b/onnxruntime/test/testdata/onnx_backend_test_series_filters.jsonc
index e261d66a0d22a..d62ffe644e4cc 100644
--- a/onnxruntime/test/testdata/onnx_backend_test_series_filters.jsonc
+++ b/onnxruntime/test/testdata/onnx_backend_test_series_filters.jsonc
@@ -694,7 +694,9 @@
         "^test_gelu_tanh_2_expanded_cpu",
         "^test_dynamicquantizelinear_expanded_cpu",
         "^test_center_crop_pad_crop_negative_axes_hwc*", // failed due to new types or shape infer with negative axis for CenterCropPad.
-        "^test_center_crop_pad_crop_negative_axes_hwc_expanded*" // failed due to new types or shape infer with negative axis for CenterCropPad.
+        "^test_center_crop_pad_crop_negative_axes_hwc_expanded*", // failed due to new types or shape infer with negative axis for CenterCropPad.
+        "^test_reduce_max_empty_set",
+        "^test_reduce_min_empty_set"
     ],
     "current_failing_tests_pure_DML": [
         "^test_negative_log_likelihood_loss_input_shape_is_NCd1d2d3_none_no_weight_negative_ignore_index_cpu",