All models were compiled using Hailo Dataflow Compiler v2.18.0.
| Key / Icon | Description |
|---|---|
| ⭐ | Networks used by Hailo-apps. |
| S | Source – Link to the model's open-source repository. |
| PT | Pretrained – Download the pretrained model file (ZIP format). |
| HEF, NV12, RGBX | Compiled Models – Links to models in various formats: - HEF: RGB format - NV12: NV12 format - RGBX: RGBX format |
| PR | Profiler Report – Download the model's performance profiling report. |
| Network Name | float Accuracy (top1) | Hardware Accuracy (top1) | FPS (Batch Size=1) | FPS (Batch Size=8) | Links | Input Resolution (HxWxC) | Params (M) | OPS (G) |
|---|---|---|---|---|---|---|---|---|
| cas_vit_m | 81.2 | 80.9 | 47.8 | 157 | 384x384x3 | 12.42 | 10.89 | |
| cas_vit_s | 79.9 | 79.7 | 71.1 | 226 | 384x384x3 | 5.5 | 5.4 | |
| cas_vit_t | 81.9 | 81.6 | 31.6 | 95.9 | 384x384x3 | 21.76 | 20.85 | |
| davit_tiny | 82.7 | 82.2 | 17.8 | 54.4 | 224x224x3 | 28.36 | 9.1 | |
| deit_base | 80.9 | 80.4 | 28.5 | 107 | 224x224x3 | 80.26 | 35.22 | |
| deit_small | 78.2 | 77.0 | 70.0 | 309 | 224x224x3 | 20.52 | 9.4 | |
| deit_tiny | 69.1 | 68.5 | 89.1 | 406 | 224x224x3 | 5.3 | 2.57 | |
| efficientformer_l1 | 79.1 | 76.1 | 96.7 | 277 | 224x224x3 | 12.3 | 2.6 | |
| efficientnet_l | 80.5 | 79.3 | 221 | 221 | 300x300x3 | 10.55 | 19.4 | |
| efficientnet_lite0 | 75.0 | 73.9 | 1952 | 1952 | 224x224x3 | 4.63 | 0.78 | |
| efficientnet_lite1 | 76.7 | 76.3 | 1668 | 1668 | 240x240x3 | 5.39 | 1.22 | |
| efficientnet_lite2 | 77.5 | 76.7 | 977 | 977 | 260x260x3 | 6.06 | 1.74 | |
| efficientnet_lite3 | 79.3 | 78.6 | 512 | 512 | 280x280x3 | 8.16 | 2.8 | |
| efficientnet_lite4 | 80.8 | 80.1 | 273 | 273 | 300x300x3 | 12.95 | 5.10 | |
| efficientnet_m | 78.9 | 78.5 | 984 | 984 | 240x240x3 | 6.87 | 7.32 | |
| efficientnet_s | 77.6 | 77.2 | 1232 | 1232 | 224x224x3 | 5.41 | 4.72 | |
| fastvit_sa12⭐ | 79.8 | 76.7 | 1113 | 1113 | 224x224x3 | 11.99 | 3.59 | |
| hardnet39ds⭐ | 73.4 | 73.1 | 1975 | 1975 | 224x224x3 | 3.48 | 0.86 | |
| hardnet68⭐ | 75.5 | 75.2 | 137 | 400 | 224x224x3 | 17.56 | 8.5 | |
| inception_v1 | 69.7 | 69.5 | 2454 | 2454 | 224x224x3 | 6.62 | 3 | |
| levit128 | 78.4 | 76.0 | 128 | 675 | 224x224x3 | 9.2 | 0.8 | |
| levit192 | 79.7 | 77.2 | 134 | 707 | 224x224x3 | 10.9 | 1.3 | |
| levit256 | 81.4 | 79.1 | 100 | 522 | 224x224x3 | 18.9 | 2.3 | |
| levit384 | 82.3 | 78.6 | 65.6 | 325 | 224x224x3 | 39.1 | 4.7 | |
| mobilenet_v1 | 71.0 | 70.3 | 3305 | 3305 | 224x224x3 | 4.22 | 1.14 | |
| mobilenet_v2_1.0 | 71.8 | 70.9 | 2597 | 2597 | 224x224x3 | 3.49 | 0.62 | |
| mobilenet_v2_1.4 | 74.2 | 73.3 | 1652 | 1652 | 224x224x3 | 6.09 | 1.18 | |
| mobilenet_v3 | 72.2 | 71.8 | 3697 | 3697 | 224x224x3 | 4.07 | 2 | |
| regnetx_1.6gf | 77.0 | 76.8 | 2551 | 2551 | 224x224x3 | 9.17 | 3.22 | |
| regnetx_800mf | 75.2 | 74.9 | 3498 | 3498 | 224x224x3 | 7.24 | 1.6 | |
| repghost_1_0x | 73.0 | 72.2 | 242 | 1071 | 224x224x3 | 4.1 | 0.28 | |
| repghost_2_0x | 77.2 | 76.9 | 140 | 623 | 224x224x3 | 9.8 | 1.04 | |
| repvgg_a1 | 74.4 | 72.4 | 2707 | 2707 | 224x224x3 | 12.79 | 4.7 | |
| repvgg_a2 | 76.5 | 74.3 | 1132 | 1132 | 224x224x3 | 25.5 | 10.2 | |
| resmlp12_relu | 75.3 | 75.0 | 1429 | 1429 | 224x224x3 | 15.77 | 6.04 | |
| resnet_v1_18⭐ | 71.3 | 71.1 | 2718 | 2718 | 224x224x3 | 11.68 | 3.64 | |
| resnet_v1_34⭐ | 72.7 | 72.2 | 1505 | 1505 | 224x224x3 | 21.79 | 7.34 | |
| resnet_v1_50⭐ | 75.2 | 74.7 | 1372 | 1372 | 224x224x3 | 25.53 | 6.98 | |
| resnext26_32x4d | 76.2 | 75.9 | 1630 | 1630 | 224x224x3 | 15.37 | 4.96 | |
| resnext50_32x4d | 79.3 | 78.4 | 761 | 761 | 224x224x3 | 24.99 | 8.48 | |
| squeezenet_v1.1 | 59.8 | 59.4 | 3034 | 3034 | 224x224x3 | 1.24 | 0.78 | |
| swin_small | 83.1 | 79.9 | 16.2 | 51.5 | 224x224x3 | 50 | 17.6 | |
| swin_tiny | 81.3 | 79.3 | 28.7 | 81.2 | 224x224x3 | 29 | 9.1 | |
| vit_base | 84.5 | 83.2 | 29.1 | 108 | 224x224x3 | 86.5 | 35.188 | |
| vit_base_bn | 80.0 | 78.8 | 40.6 | 167 | 224x224x3 | 86.5 | 35.188 | |
| vit_small | 81.5 | 80.0 | 70.1 | 309 | 224x224x3 | 21.12 | 8.62 | |
| vit_small_bn | 78.1 | 77.1 | 131 | 640 | 224x224x3 | 21.12 | 8.62 | |
| vit_tiny | 75.5 | 73.6 | 89.2 | 406 | 224x224x3 | 5.73 | 2.2 | |
| vit_tiny_bn | 69.0 | 67.2 | 208 | 1081 | 224x224x3 | 5.73 | 2.2 |