# ai-benchmark
**Repository Path**: techwolf/ai-benchmark
## Basic Information
- **Project Name**: ai-benchmark
- **Description**: ai benchmark
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-11-21
- **Last Updated**: 2023-07-19
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
[AI Benchmark Alpha](http://ai-benchmark.com/alpha) is an open source python library for evaluating AI performance of various hardware platforms, including CPUs, GPUs and TPUs. The benchmark is relying on [TensorFlow](https://www.tensorflow.org) machine learning library, and is providing a lightweight and accurate solution for assessing inference and training speed for key Deep Learning models.
In total, AI Benchmark consists of 42 tests and 19 sections provided below:
1. MobileNet-V2 `[classification]`
2. Inception-V3 `[classification]`
3. Inception-V4 `[classification]`
4. Inception-ResNet-V2 `[classification]`
5. ResNet-V2-50 `[classification]`
6. ResNet-V2-152 `[classification]`
7. VGG-16 `[classification]`
8. SRCNN 9-5-5 `[image-to-image mapping]`
9. VGG-19 `[image-to-image mapping]`
10. ResNet-SRGAN `[image-to-image mapping]`
11. ResNet-DPED `[image-to-image mapping]`
12. U-Net `[image-to-image mapping]`
13. Nvidia-SPADE `[image-to-image mapping]`
14. ICNet `[image segmentation]`
15. PSPNet `[image segmentation]`
16. DeepLab `[image segmentation]`
17. Pixel-RNN `[inpainting]`
18. LSTM `[sentence sentiment analysis]`
19. GNMT `[text translation]`
For more information and results, please visit the project website: [http://ai-benchmark.com/alpha](http://ai-benchmark.com/alpha)
#### Run Instructions
```sudo docker build -t odyssee/ai-benchmark:latest"```
```sudo docker run --gpus all -it odyssee/ai-benchmark:latest"```