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update resnet50 benchmark data #5578

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Nov 22, 2017
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update resnet50 benchmark data #5578

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719644a
update resnet50 benchmark data
tensor-tang Nov 13, 2017
44609c2
Update the VGG and ResNet benchmark when NUMA=ON
luotao1 Nov 21, 2017
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27 changes: 19 additions & 8 deletions benchmark/IntelOptimizedPaddle.md
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Expand Up @@ -12,11 +12,11 @@ Machine:

System: CentOS release 6.3 (Final), Docker 1.12.1.

PaddlePaddle: paddlepaddle/paddle:latest (TODO: will rerun after 0.11.0)

- MKL-DNN tag v0.10
- MKLML 2018.0.20170720
PaddlePaddle: paddlepaddle/paddle:latest (for MKLML and MKL-DNN), paddlepaddle/paddle:latest-openblas (for OpenBLAS)
- MKL-DNN tag v0.11
- MKLML 2018.0.1.20171007
- OpenBLAS v0.2.20
(TODO: will rerun after 0.11.0)

On each machine, we will test and compare the performance of training on single node using MKL-DNN / MKLML / OpenBLAS respectively.

Expand All @@ -31,15 +31,26 @@ Input image size - 3 * 224 * 224, Time: images/second

| BatchSize | 64 | 128 | 256 |
|--------------|-------| -----| --------|
| OpenBLAS | 7.82 | 8.62 | 10.34 |
| MKLML | 11.02 | 12.86 | 15.33 |
| MKL-DNN | 27.69 | 28.8 | 29.27 |
| OpenBLAS | 7.80 | 9.00 | 10.80 |
| MKLML | 12.12 | 13.70 | 16.18 |
| MKL-DNN | 28.46 | 29.83 | 30.44 |


chart on batch size 128
TBD

- ResNet-50

| BatchSize | 64 | 128 | 256 |
|--------------|-------| ------| -------|
| OpenBLAS | 25.22 | 25.68 | 27.12 |
| MKLML | 32.52 | 31.89 | 33.12 |
| MKL-DNN | 81.69 | 82.35 | 84.08 |


chart on batch size 128
TBD

- ResNet
- GoogLeNet

### Laptop
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