diff --git a/benchmark/benchmark.cpp b/benchmark/benchmark.cpp
index 37ecf9ff5..20ff25da7 100644
--- a/benchmark/benchmark.cpp
+++ b/benchmark/benchmark.cpp
@@ -138,10 +138,14 @@ std::vector<float> doBench(Model& model, int loop, int warmup = 10, int forward
     MNN::Tensor* input    = net->getSessionInput(session, NULL);
 
     // if the model has not the input dimension, umcomment the below code to set the input dims
-    // std::vector<int> dims{1, 3, 224, 224};
-    // net->resizeTensor(input, dims);
-    // net->resizeSession(session);
-    net->releaseModel();
+    std::vector<int> dims{1, 3, 224, 224};
+    net->resizeTensor(input, dims);
+    auto t1 =  std::chrono::high_resolution_clock::now();
+    net->resizeSession(session);
+    auto t2 =  std::chrono::high_resolution_clock::now();
+    auto duration = std::chrono::duration_cast<std::chrono::microseconds>(t2 - t1).count();
+    MNN_PRINT("### MNN Semi-Search Time is : %f ms\n", duration);
+    // net->releaseModel();
 
     const MNN::Backend* inBackend = net->getBackend(session, input);
 
@@ -362,7 +366,7 @@ void iosBenchAll(const char* modelPath) {
     int loop               = 20;
     int warmup             = 10;
     MNNForwardType forward = MNN_FORWARD_CPU;
-    forward = MNN_FORWARD_NN;
+    //forward = MNN_FORWARD_NN;
     int numberThread       = 4;
     int precision = 2;
     std::cout << "Forward type: **" << forwardType(forward) << "** thread=" << numberThread << "** precision=" <<precision << std::endl;