| Task | Model | Size (MB) | Linux | Android | iOS | Linux | Linux | Linux | Linux | TBD... |
|:------------------:|:-----------------------------------------------------------------------------------------:|:---------:|:-------:|:-------:|:-------:|:-----------------------------:|:------------------------------------:|:---------------------------------:|:---------------------------------:|:-------:|
| --- | --- | --- | ARM CPU | ARM CPU | ARM CPU | Rockchip-NPU
RK3568/RK3588 | Rockchip-NPU
RV1109/RV1126/RK1808 | Amlogic-NPU
A311D/S905D/C308X | NXP-NPU
i.MX 8M Plus | TBD...| |
| Classification | [PaddleClas/PP-LCNet](examples/vision/classification/paddleclas) | 11.9 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/PP-LCNetv2](examples/vision/classification/paddleclas) | 26.6 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/EfficientNet](examples/vision/classification/paddleclas) | 31.4 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/GhostNet](examples/vision/classification/paddleclas) | 20.8 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/MobileNetV1](examples/vision/classification/paddleclas) | 17 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/MobileNetV2](examples/vision/classification/paddleclas) | 14.2 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/MobileNetV3](examples/vision/classification/paddleclas) | 22 | ✅ | ✅ | ❔ | ❔ | ❔ | ❔ | ❔ | -- |
| Classification | [PaddleClas/ShuffleNetV2](examples/vision/classification/paddleclas) | 9.2 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/SqueezeNetV1.1](examples/vision/classification/paddleclas) | 5 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/Inceptionv3](examples/vision/classification/paddleclas) | 95.5 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/PP-HGNet](examples/vision/classification/paddleclas) | 59 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Classification | [PaddleClas/SwinTransformer_224_win7](examples/vision/classification/paddleclas) | 352.7 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | [PaddleDetection/PP-PicoDet_s_320_coco](examples/vision/detection/paddledetection) | 4.1 | ✅ | ✅ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | [PaddleDetection/PP-PicoDet_s_320_lcnet](examples/vision/detection/paddledetection) | 4.9 | ✅ | ✅ | ❔ | ❔ | ✅ | ✅ | ✅ | -- |
| Detection | [PaddleDetection/CenterNet](examples/vision/detection/paddledetection) | 4.8 | ✅ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | [PaddleDetection/YOLOv3_MobileNetV3](examples/vision/detection/paddledetection) | 94.6 | ✅ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | [PaddleDetection/PP-YOLO_tiny_650e_coco](examples/vision/detection/paddledetection) | 4.4 | ✅ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | [PaddleDetection/SSD_MobileNetV1_300_120e_voc](examples/vision/detection/paddledetection) | 23.3 | ✅ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | [PaddleDetection/PP-YOLO_ResNet50vd](examples/vision/detection/paddledetection) | 188.5 | ✅ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | [PaddleDetection/PP-YOLOv2_ResNet50vd](examples/vision/detection/paddledetection) | 218.7 | ✅ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | [PaddleDetection/PP-YOLO_crn_l_300e_coco](examples/vision/detection/paddledetection) | 209.1 | ✅ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Detection | YOLOv5s | 29.3 | ❔ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Face Detection | BlazeFace | 1.5 | ❔ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Face Detection | RetinaFace | 1.7 | ❔ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| Keypoint Detection | [PaddleDetection/PP-TinyPose](examples/vision/keypointdetection/tiny_pose) | 5.5 | ✅ | ❔ | ❔ | ❔ | ❔ | ❔ | ❔ | -- |
| Segmentation | [PaddleSeg/PP-LiteSeg(STDC1)](examples/vision/segmentation/paddleseg) | 32.2 | ✅ | ❔ | ❔ | ✅ | -- | -- | -- | -- |
| Segmentation | [PaddleSeg/PP-HumanSeg-Lite](examples/vision/segmentation/paddleseg) | 0.556 | ✅ | ❔ | ❔ | ✅ | -- | -- | -- | -- |
| Segmentation | [PaddleSeg/HRNet-w18](examples/vision/segmentation/paddleseg) | 38.7 | ✅ | ❔ | ❔ | ✅ | -- | -- | -- | -- |
| Segmentation | [PaddleSeg/PP-HumanSeg](examples/vision/segmentation/paddleseg) | 107.2 | ✅ | ❔ | ❔ | ✅ | -- | -- | -- | -- |
| Segmentation | [PaddleSeg/Unet](examples/vision/segmentation/paddleseg) | 53.7 | ✅ | ❔ | ❔ | ✅ | -- | -- | -- | -- |
| Segmentation | [PaddleSeg/Deeplabv3](examples/vision/segmentation/paddleseg) | 150 | ❔ | ❔ | ❔ | ✅ | | | | |
| OCR | PaddleOCR/PP-OCRv1 | 2.3+4.4 | ❔ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| OCR | [PaddleOCR/PP-OCRv2](examples/vision/ocr/PP-OCRv2) | 2.3+4.4 | ✅ | ❔ | ❔ | ❔ | -- | -- | -- | -- |
| OCR | [PaddleOCR/PP-OCRv3](examples/vision/ocr/PP-OCRv3) | 2.4+10.6 | ✅ | ❔ | ❔ | ❔ | ❔ | ❔ | ❔ | -- |
| OCR | PaddleOCR/PP-OCRv3-tiny | 2.4+10.7 | ❔ | ❔ | ❔ | ❔ | -- | -- | -- | -- |