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update benchmark data on VGG19 #5148

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Nov 1, 2017
Merged

update benchmark data on VGG19 #5148

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update benchmark data on VGG19
tensor-tang Oct 27, 2017
5bd1886
update the VGG benchmark on CentOs6.3 and Intel 6148
luotao1 Nov 1, 2017
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48 changes: 48 additions & 0 deletions benchmark/IntelOptimizedPaddle.md
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# Benchmark

Machine:

- Server
- Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 2 Sockets, 20 Cores per socket
- Laptop
- DELL XPS15-9560-R1745: i7-7700HQ 8G 256GSSD
- i5 MacBook Pro (Retina, 13-inch, Early 2015)
- Desktop
- i7-6700k

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
- OpenBLAS v0.2.20

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

## Benchmark Model

### Server
Test on batch size 64, 128, 256 on Intel(R) Xeon(R) Gold 6148M CPU @ 2.40GHz

Input image size - 3 * 224 * 224, Time: images/second

- VGG-19

| 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 |


chart on batch size 128
TBD

- ResNet
- GoogLeNet

### Laptop
TBD
### Desktop
TBD