今天為了對(duì)比滴滴云NVIDIA?A100，特地跑了一下RTX2080的TensorFlow基準(zhǔn)測(cè)試，現(xiàn)在把結(jié)果記錄一下！

運(yùn)行環(huán)境

平臺(tái)為：矩池云

系統(tǒng)為：Ubuntu 18.04

顯卡為：RTX 2080 Ti

Python版本： 3.6.10

TensorFlow版本：1.15.2

顯卡相關(guān)內(nèi)容如下：

系統(tǒng)配置如下：

測(cè)試方法

https://github.com/tensorflow/benchmarks

Resnet50 BS64

python tf_cnn_benchmarks.py --num_gpus=1 --batch_size=64 --model=resnet50

Step Img/sec total_loss

1 images/sec: 305.5 +/- 0.0 (jitter = 0.0) 8.220

10 images/sec: 305.2 +/- 0.3 (jitter = 0.7) 7.880

20 images/sec: 305.3 +/- 0.2 (jitter = 0.9) 7.910

30 images/sec: 305.1 +/- 0.2 (jitter = 0.8) 7.820

40 images/sec: 304.9 +/- 0.2 (jitter = 0.7) 8.005

50 images/sec: 304.8 +/- 0.1 (jitter = 0.9) 7.770

60 images/sec: 304.5 +/- 0.2 (jitter = 1.1) 8.114

70 images/sec: 304.3 +/- 0.2 (jitter = 1.3) 7.816

80 images/sec: 304.2 +/- 0.2 (jitter = 1.5) 7.975

90 images/sec: 304.0 +/- 0.1 (jitter = 1.5) 8.094

100 images/sec: 303.8 +/- 0.1 (jitter = 1.6) 8.035

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total images/sec: 303.65

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AlexNet BS512

python tf_cnn_benchmarks.py --num_gpus=1 --batch_size=512 --model=alexnet

Step? ? Img/sec total_loss

1? ? ? images/sec: 3939.5 +/- 0.0 (jitter = 0.0)? ? ? nan

10? ? ? images/sec: 3927.5 +/- 3.0 (jitter = 12.2)? ? ? nan

20? ? ? images/sec: 3923.9 +/- 2.1 (jitter = 11.7)? ? ? nan

30? ? ? images/sec: 3923.0 +/- 2.5 (jitter = 11.0)? ? ? nan

40? ? ? images/sec: 3921.2 +/- 2.0 (jitter = 9.4)? ? ? nan

50? ? ? images/sec: 3919.0 +/- 1.8 (jitter = 9.2)? ? ? nan

60? ? ? images/sec: 3915.4 +/- 1.9 (jitter = 11.5)? ? ? nan

70? ? ? images/sec: 3912.2 +/- 2.0 (jitter = 13.7)? ? ? nan

80? ? ? images/sec: 3911.5 +/- 1.8 (jitter = 14.5)? ? ? nan

90? ? ? images/sec: 3909.8 +/- 1.8 (jitter = 15.9)? ? ? nan

100? ? images/sec: 3907.9 +/- 1.7 (jitter = 15.9)? ? ? nan

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total images/sec: 3905.13

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Inception v3 BS64

python tf_cnn_benchmarks.py --num_gpus=1 --batch_size=64 --model=inception3

Step? ? Img/sec total_loss

1? ? ? images/sec: 200.6 +/- 0.0 (jitter = 0.0)? ? ? ? 7.278

10? ? ? images/sec: 200.6 +/- 0.1 (jitter = 0.6)? ? ? ? 7.298

20? ? ? images/sec: 200.5 +/- 0.1 (jitter = 0.4)? ? ? ? 7.291

30? ? ? images/sec: 200.3 +/- 0.1 (jitter = 0.4)? ? ? ? 7.412

40? ? ? images/sec: 200.1 +/- 0.1 (jitter = 0.7)? ? ? ? 7.306

50? ? ? images/sec: 199.9 +/- 0.1 (jitter = 0.8)? ? ? ? 7.287

60? ? ? images/sec: 199.7 +/- 0.1 (jitter = 1.0)? ? ? ? 7.378

70? ? ? images/sec: 199.5 +/- 0.1 (jitter = 1.2)? ? ? ? 7.351

80? ? ? images/sec: 199.3 +/- 0.1 (jitter = 1.3)? ? ? ? 7.402

90? ? ? images/sec: 199.2 +/- 0.1 (jitter = 1.2)? ? ? ? 7.309

100? ? images/sec: 199.0 +/- 0.1 (jitter = 1.2)? ? ? ? 7.354

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total images/sec: 198.97

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VGG16 BS64

python tf_cnn_benchmarks.py --num_gpus=1 --batch_size=64 --model=vgg16

Step? ? Img/sec total_loss

1? ? ? images/sec: 180.0 +/- 0.0 (jitter = 0.0)? ? ? ? 7.346

10? ? ? images/sec: 179.5 +/- 0.1 (jitter = 0.2)? ? ? ? 7.294

20? ? ? images/sec: 179.4 +/- 0.1 (jitter = 0.3)? ? ? ? 7.282

30? ? ? images/sec: 179.1 +/- 0.1 (jitter = 0.4)? ? ? ? 7.278

40? ? ? images/sec: 178.9 +/- 0.1 (jitter = 0.8)? ? ? ? 7.287

50? ? ? images/sec: 178.7 +/- 0.1 (jitter = 0.7)? ? ? ? 7.272

60? ? ? images/sec: 178.6 +/- 0.1 (jitter = 0.7)? ? ? ? 7.261

70? ? ? images/sec: 178.4 +/- 0.1 (jitter = 1.0)? ? ? ? 7.267

80? ? ? images/sec: 178.3 +/- 0.1 (jitter = 1.1)? ? ? ? 7.280

90? ? ? images/sec: 178.2 +/- 0.1 (jitter = 1.0)? ? ? ? 7.270

100? ? images/sec: 178.1 +/- 0.1 (jitter = 0.9)? ? ? ? 7.268

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total images/sec: 178.02

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GoogLeNet BS128

python tf_cnn_benchmarks.py --num_gpus=1 --batch_size=128 --model=googlenet

Step? ? Img/sec total_loss

1? ? ? images/sec: 784.7 +/- 0.0 (jitter = 0.0)? ? ? ? 7.104

10? ? ? images/sec: 782.9 +/- 0.4 (jitter = 1.4)? ? ? ? 7.104

20? ? ? images/sec: 782.3 +/- 0.6 (jitter = 2.1)? ? ? ? 7.092

30? ? ? images/sec: 780.3 +/- 0.7 (jitter = 4.3)? ? ? ? 7.087

40? ? ? images/sec: 779.2 +/- 0.6 (jitter = 5.5)? ? ? ? 7.067

50? ? ? images/sec: 778.9 +/- 0.5 (jitter = 5.0)? ? ? ? 7.092

60? ? ? images/sec: 778.4 +/- 0.5 (jitter = 4.7)? ? ? ? 7.050

70? ? ? images/sec: 778.3 +/- 0.4 (jitter = 4.2)? ? ? ? 7.073

80? ? ? images/sec: 778.2 +/- 0.4 (jitter = 3.9)? ? ? ? 7.077

90? ? ? images/sec: 778.2 +/- 0.4 (jitter = 3.0)? ? ? ? 7.079

100? ? images/sec: 778.1 +/- 0.3 (jitter = 2.7)? ? ? ? 7.066

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total images/sec: 777.65

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ResNet152 BS32

python tf_cnn_benchmarks.py --num_gpus=1 --batch_size=32 --model=resnet152

Step? ? Img/sec total_loss

1? ? ? images/sec: 116.5 +/- 0.0 (jitter = 0.0)? ? ? ? 9.028

10? ? ? images/sec: 116.3 +/- 0.1 (jitter = 0.2)? ? ? ? 8.593

20? ? ? images/sec: 116.2 +/- 0.1 (jitter = 0.3)? ? ? ? 8.603

30? ? ? images/sec: 116.0 +/- 0.1 (jitter = 0.4)? ? ? ? 8.712

40? ? ? images/sec: 115.8 +/- 0.1 (jitter = 0.5)? ? ? ? 8.655

50? ? ? images/sec: 115.7 +/- 0.1 (jitter = 0.6)? ? ? ? 8.800

60? ? ? images/sec: 115.7 +/- 0.1 (jitter = 0.6)? ? ? ? 8.625

70? ? ? images/sec: 115.5 +/- 0.1 (jitter = 0.6)? ? ? ? 9.093

80? ? ? images/sec: 115.5 +/- 0.1 (jitter = 0.6)? ? ? ? 8.856

90? ? ? images/sec: 115.4 +/- 0.1 (jitter = 0.6)? ? ? ? 8.996

100? ? images/sec: 115.3 +/- 0.1 (jitter = 0.6)? ? ? ? 8.842

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total images/sec: 115.28

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性能對(duì)比

A100 和V100 和 2080ti 性能對(duì)比：

https://www.tonyisstark.com/383.html