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result_high.txt
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>> AI-Benchmark-v.0.1.2
>> Let the AI Games begin..
* TF Version: 2.2.0
* Platform: Linux-5.4.0-33-generic-x86_64-with-glibc2.10
* CPU: AMD Ryzen 9 3900X 12-Core Processor
* CPU RAM: 126 GB
* GPU/0: TITAN RTX
* GPU RAM: 21.5 GB
* GPU/1:
* GPU RAM: 16.0 GB
* CUDA Version: N/A
* CUDA Build: N/A
The benchmark is running...
The tests might take up to 20 minutes
Please don't interrupt the script
1/19. MobileNet-V2
1.1 - training | batch=50, size=224x224: 176.8 ± 0.6 ms
2/19. Inception-V3
2.1 - training | batch=20, size=346x346: 144 ± 2 ms
3/19. Inception-V4
3.1 - training | batch=10, size=346x346: 151.8 ± 0.8 ms
4/19. Inception-ResNet-V2
4.1 - training | batch=8, size=346x346: 160.7 ± 0.8 ms
5/19. ResNet-V2-50
5.1 - training | batch=10, size=346x346: 92.4 ± 1.3 ms
6/19. ResNet-V2-152
6.1 - training | batch=10, size=256x256: 134.1 ± 0.8 ms
7/19. VGG-16
7.1 - training | batch=2, size=224x224: 115.0 ± 0.7 ms
8/19. SRCNN 9-5-5
8.1 - training | batch=10, size=512x512: 168 ± 2 ms
9/19. VGG-19 Super-Res
9.1 - training | batch=10, size=224x224: 234.2 ± 0.8 ms
10/19. ResNet-SRGAN
10.1 - training | batch=5, size=512x512: 126 ± 7 ms
11/19. ResNet-DPED
11.1 - training | batch=15, size=128x128: 147 ± 6 ms
12/19. U-Net
12.1 - training | batch=4, size=256x256: 159.7 ± 0.6 ms
13/19. Nvidia-SPADE
13.1 - training | batch=1, size=128x128: 106.5 ± 0.6 ms
14/19. ICNet
14.1 - training | batch=10, size=1024x1536: 305 ± 3 ms
15/19. PSPNet
15.1 - training | batch=1, size=512x512: 109.7 ± 0.7 ms
16/19. DeepLab
16.1 - training | batch=1, size=384x384: 89.7 ± 0.7 ms
17/19. Pixel-RNN
17.1 - training | batch=10, size=64x64: 1712 ± 21 ms
18/19. LSTM-Sentiment
18.1 - training | batch=10, size=1024x300: 856 ± 15 ms
19/19. GNMT-Translation
Device Training Score: 16332
For more information and results, please visit http://ai-benchmark.com/alpha