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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                         |                                |
+