diff --git a/csrc/mmdeploy/codebase/mmpose/simcc_label.cpp b/csrc/mmdeploy/codebase/mmpose/simcc_label.cpp
index fb4af47126..6ad142f6fa 100644
--- a/csrc/mmdeploy/codebase/mmpose/simcc_label.cpp
+++ b/csrc/mmdeploy/codebase/mmpose/simcc_label.cpp
@@ -27,6 +27,9 @@ class SimCCLabelDecode : public MMPose {
       flip_test_ = params.value("flip_test", flip_test_);
       simcc_split_ratio_ = params.value("simcc_split_ratio", simcc_split_ratio_);
       export_postprocess_ = params.value("export_postprocess", export_postprocess_);
+      if (export_postprocess_) {
+        simcc_split_ratio_ = 1.0;
+      }
       if (params.contains("input_size")) {
         from_value(params["input_size"], input_size_);
       }
@@ -53,8 +56,14 @@ class SimCCLabelDecode : public MMPose {
 
     Tensor keypoints({Device{"cpu"}, DataType::kFLOAT, {simcc_x.shape(0), simcc_x.shape(1), 2}});
     Tensor scores({Device{"cpu"}, DataType::kFLOAT, {simcc_x.shape(0), simcc_x.shape(1), 1}});
+    float *keypoints_data = nullptr, *scores_data = nullptr;
     if (!export_postprocess_) {
       get_simcc_maximum(simcc_x, simcc_y, keypoints, scores);
+      keypoints_data = keypoints.data<float>();
+      scores_data = scores.data<float>();
+    } else {
+      keypoints_data = simcc_x.data<float>();
+      scores_data = simcc_y.data<float>();
     }
 
     std::vector<float> center;
@@ -63,22 +72,11 @@ class SimCCLabelDecode : public MMPose {
     from_value(img_metas["scale"], scale);
     PoseDetectorOutput output;
 
-    float* keypoints_data = keypoints.data<float>();
-    float* simcc_x_data = simcc_x.data<float>();
-    float* simcc_y_data = simcc_y.data<float>();
-
-    float* scores_data = scores.data<float>();
     float scale_value = 200, x = -1, y = -1, s = 0;
     for (int i = 0; i < simcc_x.shape(1); i++) {
-      if (export_postprocess_) {
-        x = *(simcc_x_data++);
-        y = *(simcc_x_data++);
-        s = *(scores_data++);
-      } else {
-        x = *(keypoints_data++) / simcc_split_ratio_;
-        y = *(keypoints_data++) / simcc_split_ratio_;
-        s = *(scores_data++);
-      }
+      x = *(keypoints_data++) / simcc_split_ratio_;
+      y = *(keypoints_data++) / simcc_split_ratio_;
+      s = *(scores_data++);
 
       x = x * scale[0] * scale_value / input_size_[0] + center[0] - scale[0] * scale_value * 0.5;
       y = y * scale[1] * scale_value / input_size_[1] + center[1] - scale[1] * scale_value * 0.5;