IntelOptimizedPaddle.md

# 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 (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.

## 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

- VGG-19

| BatchSize    | 64    | 128  | 256     |
|--------------|-------| -----| --------|
| 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

 - GoogLeNet

| BatchSize    | 64    | 128   | 256    |
|--------------|-------| ------| -------|
| OpenBLAS     | 89.52 | 96.97 | 108.25 | 
| MKLML        | 128.46| 137.89| 158.63 |
| MKL-DNN      | 250.46| 264.83| 269.50 |

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
TBD