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add inference benchmark data #6267

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30 changes: 30 additions & 0 deletions benchmark/IntelOptimizedPaddle.md
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down Expand Up @@ -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 |
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BatchSize 1 2 4 8 16
OpenBLAS 1.07 1.08 1.06 0.88 0.65
MKLML 5.58 9.80 15.15 21.21 28.67
MKL-DNN 75.07 88.64 82.58 92.29 96.75


- 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 |
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BatchSize 1 2 4 8 16
OpenBLAS 3.35 3.19 3.09 2.55 1.96
MKLML 6.33 12.02 22.88 40.53 63.09
MKL-DNN 107.83 148.84 177.78 189.35 217.69



- 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 |
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BatchSize 1 2 4 8 16
OpenBLAS 12.04 11.31 10.00 9.07 4.34
MKLML 22.74 41.56 81.22 133.47 210.53
MKL-DNN 175.10 272.92 450.70 512.00 600.94



### Laptop
TBD
### Desktop
Expand Down