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BUG1989 authored Oct 13, 2023
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# Benchmark(AX650N)

Benchmark 是了解硬件平台网络模型运行速度的最佳途径。以下数据基于 AXera-Pi Pro 测试获取，**仅供社区参考，不代表商业交付最终性能**。

| Models | Input Size | Inference Time(ms)@1Core@3.6T | Inference Time(ms)@3Core@10.8T |
| -------------- | ---------- | ----------------------------- | ------------------------------ |
| Inceptionv1 | 224 | 1.166 | 0.543 |
| Inceptionv3 | 299 | 4.370 | 1.712 |
| MobileNetv1 | 224 | 0.567 | 0.283 |
| MobileNetv2 | 224 | 0.595 | 0.296 |
| SqueezeNetv11 | 227 | 0.471 | 0.214 |
| SqueezeNetv10 | 227 | 0.904 | 0.346 |
| ResNet18 | 224 | 1.269 | 0.583 |
| ResNet50 | 224 | 2.867 | 1.355 |
| VGG16 | 224 | 14.135 | 8.141 |
| YOLOv3 | 608 | 43.198 | 15.041 |
| YOLOv5s | 640 | 6.658 | 2.885 |
| YOLOv6s | 640 | 13.139 | 4.582 |
| YOLOv7-Tiny | 640 | 5.938 | 2.771 |
| YOLOv8s | 640 | 10.881 | 3.908 |
| YOLOX_s | 640 | 9.668 | 3.595 |
| YOLO-Nas_s | 640 | 12.061 | 4.270 |
| PPYOLOE+_s | 640 | 11.439 | 5.495 |
| Deit_t | 224 | 1.723 | 0.780 |
| Swin_t | 224 | 6.483 | 2.888 |
| ViT_b | 224 | 17.369 | 6.120 |
| EfficientViT_b | 224 | 1.900 | |

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