diff --git a/benchmark/IntelOptimizedPaddle.md b/benchmark/IntelOptimizedPaddle.md
index 16c2390fd31bf1c79f29735fb98180d3f7302eb2..c275aeb5cbab4b0c7afa8686625648e3c41005ae 100644
--- a/benchmark/IntelOptimizedPaddle.md
+++ b/benchmark/IntelOptimizedPaddle.md
@@ -23,6 +23,8 @@ On each machine, we will test and compare the performance of training on single
 ## Benchmark Model
 
 ### Server
+
+#### Training
 Test on batch size 64, 128, 256 on Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
 
 Input image size - 3 * 224 * 224, Time: images/second
@@ -62,6 +64,34 @@ TBD
 chart on batch size 128
 TBD
 
+#### Inference
+Test on batch size 1, 2, 4, 8, 16 on Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
+- VGG-19
+
+| BatchSize | 1     | 2     | 4     | 8     | 16    |
+|-----------|-------|-------|-------|-------|-------|
+| OpenBLAS  | 0.36  | 0.48  | 0.56  | 0.50  | 0.43  |
+| MKLML     | 5.41  | 9.52  | 14.71 | 20.46 | 29.35 |
+| MKL-DNN   | 65.52 | 89.94 | 83.92 | 94.77 | 95.78 |
+
+- ResNet-50
+
+| BatchSize | 1     | 2      | 4      | 8      | 16     |
+|-----------|-------|--------|--------|--------|--------|
+| OpenBLAS  | 0.29  | 0.43   | 0.71   | 0.85   | 0.71   |
+| MKLML     | 6.26  | 11.88  | 21.37  | 39.67  | 59.01  |
+| MKL-DNN   | 90.27 | 134.03 | 136.03 | 153.66 | 211.22 |
+
+
+- GoogLeNet	
+
+| BatchSize | 1      | 2      | 4      | 8      | 16     |
+|-----------|--------|--------|--------|--------|--------|
+| OpenBLAS  | 12.47  | 12.36  | 12.25  | 12.13  | 12.08  |
+| MKLML     | 22.50  | 43.90  | 81.22  | 132.92 | 199.69 |
+| MKL-DNN   | 221.69 | 341.33 | 428.09 | 528.24 | 624.18 |
+
+
 ### Laptop
 TBD
 ### Desktop