diff --git a/python/paddle/fluid/contrib/slim/tests/QAT_mkldnn_int8_readme.md b/python/paddle/fluid/contrib/slim/tests/QAT_mkldnn_int8_readme.md
index 720511e8eb6a42486411aa0bee8ea37e66a459c7..f1bad2cea5ba3aa9ca8746a8c575106aadffcd2f 100644
--- a/python/paddle/fluid/contrib/slim/tests/QAT_mkldnn_int8_readme.md
+++ b/python/paddle/fluid/contrib/slim/tests/QAT_mkldnn_int8_readme.md
@@ -162,14 +162,14 @@ Image classification models performance was measured using a single thread. The
 
 >**Intel(R) Xeon(R) Gold 6271**
 
-|    Model     | FP32 (images/s) | INT8 QAT (images/s) | Ratio (INT8/FP32)  |
-| :----------: | :-------------: | :-----------------: | :---------------:  |
-| MobileNet-V1 |      77.00      |       210.76        |      2.74          |
-| MobileNet-V2 |      88.43      |       182.47        |      2.06          |
-|  ResNet101   |      7.20       |        25.88        |      3.60          |
-|   ResNet50   |      13.26      |        47.44        |      3.58          |
-|    VGG16     |      3.48       |        10.11        |      2.90          |
-|    VGG19     |      2.83       |        8.77         |      3.10          |
+|     Model    | FP32 (images/s) | INT8 (images/s) | Ratio (INT8/FP32) |
+|:------------:|:---------------:|:---------------:|:-----------------:|
+| MobileNet-V1 |      74.76      |      221.80     |        2.97       |
+| MobileNet-V2 |      94.19      |      195.78     |        2.08       |
+|   ResNet101  |       7.16      |      26.51      |        3.70       |
+|   ResNet50   |      13.22      |      49.40      |        3.74       |
+|     VGG16    |       3.51      |      10.25      |        2.92       |
+|     VGG19    |       2.84      |       8.58      |        3.02       |
 
 >**Intel(R) Xeon(R) Gold 6148**
 
@@ -204,7 +204,6 @@ Notes:
 
 #### Performance
 
-
 >**Intel(R) Xeon(R) Gold 6271**
 
 |  Model  |     Threads  | FP32 Latency (ms) | QAT INT8 Latency (ms)    | Ratio (FP32/INT8) |