diff --git a/paddle/fluid/inference/tests/api/lite_resnet50_test.cc b/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
index 9ae073e9e5b142254b32396e0355f59ae1826909..da5f0b0dea0d835c0eb122c318fb8e0382d090d7 100644
--- a/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
+++ b/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
@@ -15,6 +15,7 @@ limitations under the License. */
 #include <gflags/gflags.h>
 #include <glog/logging.h>
 #include <gtest/gtest.h>
+
 #include <cmath>
 
 #include "paddle/fluid/inference/tests/api/tester_helper.h"
@@ -49,17 +50,14 @@ TEST(AnalysisPredictor, use_gpu) {
   ASSERT_TRUE(predictor->Run(inputs, &outputs));
 
   const std::vector<float> truth_values = {
-      127.780396f, 738.16656f,  1013.2264f,  -438.17206f, 366.4022f,
-      927.66187f,  736.2241f,   -633.68567f, -329.92737f, -430.15637f,
-      -633.0639f,  -146.54858f, -1324.2804f, -1349.3661f, -242.67671f,
-      117.44864f,  -801.7251f,  -391.51495f, -404.8202f,  454.16132f,
-      515.48206f,  -133.03114f, 69.293076f,  590.09753f,  -1434.6917f,
-      -1070.8903f, 307.0744f,   400.52573f,  -316.12177f, -587.1265f,
-      -161.05742f, 800.3663f,   -96.47157f,  748.708f,    868.17645f,
-      -447.9403f,  112.73656f,  1127.1992f,  47.43518f,   677.7219f,
-      593.1881f,   -336.4011f,  551.3634f,   397.82474f,  78.39835f,
-      -715.4006f,  405.96988f,  404.25684f,  246.01978f,  -8.430191f,
-      131.36617f,  -648.0528f};
+      127.779,  738.165,  1013.22,  -438.17,  366.401,  927.659,  736.222,
+      -633.684, -329.927, -430.155, -633.062, -146.548, -1324.28, -1349.36,
+      -242.675, 117.448,  -801.723, -391.514, -404.818, 454.16,   515.48,
+      -133.031, 69.293,   590.096,  -1434.69, -1070.89, 307.074,  400.525,
+      -316.12,  -587.125, -161.056, 800.363,  -96.4708, 748.706,  868.174,
+      -447.938, 112.737,  1127.2,   47.4355,  677.72,   593.186,  -336.4,
+      551.362,  397.823,  78.3979,  -715.398, 405.969,  404.256,  246.019,
+      -8.42969, 131.365,  -648.051};
 
   const size_t expected_size = 1;
   EXPECT_EQ(outputs.size(), expected_size);
@@ -108,17 +106,14 @@ TEST(Predictor, use_gpu) {
   output_t->CopyToCpu(out_data.data());
 
   const std::vector<float> truth_values = {
-      127.780396f, 738.16656f,  1013.2264f,  -438.17206f, 366.4022f,
-      927.66187f,  736.2241f,   -633.68567f, -329.92737f, -430.15637f,
-      -633.0639f,  -146.54858f, -1324.2804f, -1349.3661f, -242.67671f,
-      117.44864f,  -801.7251f,  -391.51495f, -404.8202f,  454.16132f,
-      515.48206f,  -133.03114f, 69.293076f,  590.09753f,  -1434.6917f,
-      -1070.8903f, 307.0744f,   400.52573f,  -316.12177f, -587.1265f,
-      -161.05742f, 800.3663f,   -96.47157f,  748.708f,    868.17645f,
-      -447.9403f,  112.73656f,  1127.1992f,  47.43518f,   677.7219f,
-      593.1881f,   -336.4011f,  551.3634f,   397.82474f,  78.39835f,
-      -715.4006f,  405.96988f,  404.25684f,  246.01978f,  -8.430191f,
-      131.36617f,  -648.0528f};
+      127.779,  738.165,  1013.22,  -438.17,  366.401,  927.659,  736.222,
+      -633.684, -329.927, -430.155, -633.062, -146.548, -1324.28, -1349.36,
+      -242.675, 117.448,  -801.723, -391.514, -404.818, 454.16,   515.48,
+      -133.031, 69.293,   590.096,  -1434.69, -1070.89, 307.074,  400.525,
+      -316.12,  -587.125, -161.056, 800.363,  -96.4708, 748.706,  868.174,
+      -447.938, 112.737,  1127.2,   47.4355,  677.72,   593.186,  -336.4,
+      551.362,  397.823,  78.3979,  -715.398, 405.969,  404.256,  246.019,
+      -8.42969, 131.365,  -648.051};
 
   float* data_o = out_data.data();
   for (size_t j = 0; j < out_num; j += 10) {