diff --git a/paddle/fluid/inference/tests/api/CMakeLists.txt b/paddle/fluid/inference/tests/api/CMakeLists.txt
index 131712ca88370aa977184fcb00d09f2283db110c..6854282a164773ad32a105c254b12a3bb4731e7f 100644
--- a/paddle/fluid/inference/tests/api/CMakeLists.txt
+++ b/paddle/fluid/inference/tests/api/CMakeLists.txt
@@ -100,14 +100,14 @@ set(OCR_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/ocr")
 if (NOT EXISTS ${OCR_INSTALL_DIR})
     inference_download_and_uncompress(${OCR_INSTALL_DIR} "http://paddlemodels.cdn.bcebos.com/" "inference-vis-demos%2Focr.tar.gz")
 endif()
-inference_analysis_api_test_with_refer_result(test_analyzer_ocr ${OCR_INSTALL_DIR} analyzer_vis_tester.cc)
+inference_analysis_api_test_with_refer_result(test_analyzer_ocr ${OCR_INSTALL_DIR} analyzer_vis_tester.cc SERIAL)
 
 # mobilenet with transpose op
 set(MOBILENET_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/mobilenet")
 if (NOT EXISTS ${MOBILENET_INSTALL_DIR})
     inference_download_and_uncompress(${MOBILENET_INSTALL_DIR} "http://paddlemodels.cdn.bcebos.com/" "inference-vis-demos%2Fmobilenet.tar.gz")
 endif()
-inference_analysis_api_test_with_refer_result(test_analyzer_mobilenet_transpose ${MOBILENET_INSTALL_DIR} analyzer_vis_tester.cc)
+inference_analysis_api_test_with_refer_result(test_analyzer_mobilenet_transpose ${MOBILENET_INSTALL_DIR} analyzer_vis_tester.cc SERIAL)
 
 # resnet50
 inference_analysis_api_test_with_fake_data(test_analyzer_resnet50
diff --git a/paddle/fluid/inference/tests/api/tester_helper.h b/paddle/fluid/inference/tests/api/tester_helper.h
index 524b5fa0eecf8f031e05d1a70bae24cf2a52325e..7572468e323e08c3538b92715395c787026eb071 100644
--- a/paddle/fluid/inference/tests/api/tester_helper.h
+++ b/paddle/fluid/inference/tests/api/tester_helper.h
@@ -313,13 +313,12 @@ void CompareDeterministic(
   int num_times = FLAGS_repeat;
   auto predictor = CreateTestPredictor(config, FLAGS_use_analysis);
 
-  // warmup run
   std::vector<PaddleTensor> warmup_outputs, outputs;
-  predictor->Run(inputs[0], &warmup_outputs, batch_size);
-
   // run num_times to Compare Deterministic Result.
-  for (int i = 0; i < num_times; i++) {
-    for (size_t j = 0; j < inputs.size(); j++) {
+  for (size_t j = 0; j < inputs.size(); j++) {
+    // warmup run
+    predictor->Run(inputs[j], &warmup_outputs, batch_size);
+    for (int i = 0; i < num_times; i++) {
       predictor->Run(inputs[j], &outputs, batch_size);
       CompareResult(outputs, warmup_outputs);
     }