RTX 2060 Super for Machine Learning
by Mathieu Poliquin
Full review Coming Soon but in the meantime here are some performance test results
Performance tests results
| Test | P106-100 |
|---|---|
| PPO2 Atari Pong | ~1670 frame/sec |
| Resnet50 batch=32 | 181.88 images/sec |
| Resnet50 batch=32 (16 bit) | 292.80 images/sec |
| Resnet50 batch=64 (16 bit) | 324.83 images/sec |
| Isaac gym/OpenAI - Shadowhand | 30952 steps/s |
| Host to Device | 1122 MB/s |
| Device to Host | 1218.3 MB/s |
| Device to Device | 168540.0 MB/s |
Software
- Ubuntu 18.04
- Tensorflow 1.14
- Pytorch 1.8
- CUDA 10.0
- CUDNN 7.36
- NVIDIA driver 430
Hardware
- MaxSun iCraft RTX 2060 Super
- E5 2678 v3 ES (30MB cache, 12C/24T)
- 16 GB ECC DDR4 2133Mhz
- Dell T7810 dual socket motherboard (but only one CPU is used)