Model Zoo
本章节主要介绍进迭时空 Model Zoo 相关内容。
1 模型列表
Classification
Model Name
| Fp32 top1/%
| Quant top1/% | 1线程推理耗时@1.6GHz/ms
| 2线程推理耗时@1.6GHz/ms
| 4线程推理耗时@1.6GHz/ms | 模型链接 |
| resnet18 | 69.64 | 69.64 | 38.4699 | 28.289 | 17.2622 | |
| resnet50 | 75.46 | 76.00 | 100.06 | 71.571 | 45.1088 | |
| seresnet50 | 79.26 | 79.00 | 115.113 | 90.6925 | 62.0626 | |
| resnext50 | 80.64 | 79.28 | 149.82 | 126.746 | 100.67 | |
| mobilenet_v1 | 71.64 | 71.42 | 29.9216 | 21.0166 | 13.1717 | |
| mobilenet_v2 | 71.32 | 71.66 | 34.1042 | 23.8068 | 16.0097 | |
| mobilenet_v3_large | 73.26 | 73.20 | 54.3095 | 35.1863 | 25.6427 | |
| efficientnet_v1_b1 | 76.7 | 76.1 | 114.632 | 86.3809 | 56.6777 | |
| efficientnet_v2_s | 80.3 | 79.68 | 149.592 | 111.917 | 77.4648 | |
| v100_gpu64_6ms | 74.58 | 74.82 | 57.637 | 48.2335 | 35.2046 | |
| shufflenet_v2_x1_0 | 68.72 | 68.6 | 37.0776 | 31.8273 | 26.3727 | |
| inception_v1 | 66.04 | 65.1 | 125.068 | 85.2864 | 60.1591 | |
| inception_resnet_v2 | 80.18 | 80.04 | 313.24 | 226.824 | 142.386 | |
| inception_v3 | 76.74 | 76.32 | 121.433 | 86.5108 | 55.4845 | |
| repvgg | 71.82 | 71.7 | 24.8253 | 18.3217 | 12.5148 | |
| squeezenetv1.1 | 56.12 | 56.18 | 18.9487 | 14.7087 | 11.3769 | |
| swin-tiny_16xb64_in1k | 80.26 | 79.9 | 1614.54 | 1273.49 | 1087.9 | |
Detection
Model Name
| Fp32 mAP/% | Quant mAP/% | 1线程推理耗时@1.6GHz/ms
| 2线程推理耗时@1.6GHz/ms
| 4线程推理耗时@1.6GHz/ms | 模型链接 |
| yolov5_n_dyn(320x320) | | | 95.8678 | 85.5698 | 67.9318 | |
| yolov5_s_dyn(320x320) | | | 150.188 | 118.762 | 88.8557 | |
| yolov6p5_n(320x320) | | | 40.0114 | 29.973 | 23.655 | |
| ssd-mobilenet(300x300) | | | 58.1563 | 43.1459 | 25.629 | |
| nanodet-plus-m(320x320) | | | 84.9497 | 72.1837 | 59.2333 | |
Pose
Model Name
| Fp32 mAP/% | Quant mAP/% | 1线程推理耗时@1.6GHz/ms
| 2线程推理耗时@1.6GHz/ms
| 4线程推理耗时@1.6GHz/ms | 模型链接 |
| rtmdet-nano | | | 71.4352 | 54.9239 | 41.8441 | |
| rtmpose-t | | | 36.5269 | 28.6969 | 23.0973 | |
| rtmpose-s | | | 47.6432 | 37.6789 | 28.9216 | |
2 常见问题（FAQ）
欢迎大家踊跃提问
