- System host: Intel® Core™ i5-9400 CPU @ 2.90GHz
- Hailo Dataflow Compiler Version v5.3.0
- Measurement conditions: PCIe Gen 3 x 4 lanes, room temperature
| 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 mAP | Hardware mAP | FPS (Batch Size=1) | FPS (Batch Size=8) | Links | Input Resolution (HxWxC) | Params (M) | OPS (G) |
|---|---|---|---|---|---|---|---|---|
| centernet_resnet_v1_18_postprocess | 26.4 | 24.8 | 282 | 282 | 512x512x3 | 14.22 | 31.21 | |
| centernet_resnet_v1_50_postprocess | 31.8 | 29.5 | 100 | 157 | 512x512x3 | 30.07 | 56.92 | |
| damoyolo_tinynasL20_T | 42.8 | 42.2 | 205 | 282 | 640x640x3 | 11.35 | 18.02 | |
| damoyolo_tinynasL25_S | 46.5 | 45.3 | 115 | 204 | 640x640x3 | 16.25 | 37.64 | |
| damoyolo_tinynasL35_M | 49.7 | 47.8 | 73.7 | 135 | 640x640x3 | 33.98 | 61.64 | |
| detr_resnet_v1_18_bn | 33.9 | 31.6 | 41.3 | 86.5 | 800x800x3 | 32.42 | 61.87 | |
| efficientdet_lite0 | 27.3 | 26.6 | 173 | 219 | 320x320x3 | 3.56 | 1.94 | |
| efficientdet_lite1 | 32.3 | 31.8 | 117 | 168 | 384x384x3 | 4.73 | 4 | |
| efficientdet_lite2 | 35.9 | 34.8 | 100 | 140 | 448x448x3 | 5.93 | 6.84 | |
| nanodet_repvgg | 29.3 | 28.6 | 904 | 900 | 416x416x3 | 6.74 | 11.28 | |
| nanodet_repvgg_a12 | 33.7 | 32.5 | 338 | 338 | 640x640x3 | 5.13 | 28.23 | |
| nanodet_repvgg_a1_640 | 33.3 | 32.9 | 305 | 305 | 640x640x3 | 10.79 | 42.8 | |
| ssd_mobilenet_v1⭐ | 23.2 | 22.2 | 479 | 477 | 300x300x3 | 6.79 | 2.5 | |
| ssd_mobilenet_v2 | 24.2 | 23.3 | 482 | 478 | 300x300x3 | 4.46 | 1.52 | |
| tiny_yolov3 | 14.6 | 14.3 | 1327 | 1291 | 416x416x3 | 8.85 | 5.58 | |
| tiny_yolov4 | 19.2 | 17.7 | 1269 | 1268 | 416x416x3 | 6.05 | 6.92 | |
| yolo26m | 52.3 | 50.9 | 58.8 | 103 | 640x640x3 | 20.4 | 68.4 | |
| yolo26n | 40.0 | 38.8 | 233 | 305 | 640x640x3 | 2.4 | 5.5 | |
| yolo26s | 47.5 | 46.0 | 125 | 221 | 640x640x3 | 9.5 | 20.9 | |
| yolov10b⭐ | 52.0 | 51.1 | 50.0 | 90.1 | 640x640x3 | 20.15 | 92.09 | |
| yolov10n⭐ | 38.5 | 36.9 | 312 | 360 | 640x640x3 | 2.3 | 6.8 | |
| yolov10s⭐ | 45.9 | 45.1 | 150 | 242 | 640x640x3 | 7.2 | 21.7 | |
| yolov10x⭐ | 53.7 | 52.1 | 22.6 | 39.4 | 640x640x3 | 31.72 | 160.56 | |
| yolov11l⭐ | 52.8 | 52.3 | 41.6 | 73.3 | 640x640x3 | 25.3 | 87.17 | |
| yolov11m⭐ | 51.1 | 50.1 | 70.6 | 126 | 640x640x3 | 20.1 | 68.1 | |
| yolov11n⭐ | 39.0 | 37.9 | 303 | 344 | 640x640x3 | 2.6 | 6.55 | |
| yolov11s⭐ | 46.3 | 45.4 | 142 | 229 | 640x640x3 | 9.4 | 21.6 | |
| yolov11x⭐ | 54.1 | 53.0 | 28.4 | 44.3 | 640x640x3 | 56.9 | 195.29 | |
| yolov12n | 40.5 | 39.6 | 67.5 | 129 | 640x640x3 | 2.6 | 7.5 | |
| yolov3 | 38.4 | 38.3 | 43.8 | 59.4 | 608x608x3 | 68.79 | 158.10 | |
| yolov3_416 | 37.7 | 37.5 | 75.4 | 121 | 416x416x3 | 61.92 | 65.94 | |
| yolov3_gluon | 37.3 | 35.8 | 48.4 | 63.9 | 608x608x3 | 68.79 | 140.7 | |
| yolov3_gluon_416 | 36.3 | 34.2 | 75.5 | 127 | 416x416x3 | 61.92 | 65.94 | |
| yolov4_leaky | 48.3 | 47.2 | 63.5 | 96.6 | 512x512x3 | 64.33 | 91.04 | |
| yolov5m⭐ | 42.6 | 41.3 | 111 | 175 | 640x640x3 | 21.78 | 52.17 | |
| yolov5m6_6.1 | 50.7 | 49.4 | 40.3 | 50.4 | 1280x1280x3 | 35.70 | 200.04 | |
| yolov5m_6.1 | 44.7 | 43.4 | 85.8 | 122 | 640x640x3 | 21.17 | 48.96 | |
| yolov5m_wo_spp⭐ | 43.1 | 41.6 | 122 | 210 | 640x640x3 | 22.67 | 52.88 | |
| yolov5s⭐ | 35.3 | 34.1 | 250 | 304 | 640x640x3 | 7.46 | 17.44 | |
| yolov5s_bbox_decoding_only | 35.3 | 34.1 | 249 | 301 | 640x640x3 | 7.46 | 17.44 | |
| yolov5s_c3tr | 37.1 | 35.8 | 200 | 271 | 640x640x3 | 10.29 | 17.02 | |
| yolov5s_wo_spp | 34.8 | 33.8 | 261 | 380 | 640x640x3 | 7.85 | 17.74 | |
| yolov5xs_wo_spp | 33.2 | 32.1 | 361 | 526 | 512x512x3 | 7.85 | 11.36 | |
| yolov6n⭐ | 34.3 | 32.4 | 546 | 547 | 640x640x3 | 4.32 | 11.12 | |
| yolov6n_0.2.1 | 35.2 | 33.4 | 620 | 544 | 640x640x3 | 4.33 | 11.06 | |
| yolov6n_0.2.1_nms_core | 35.2 | 34.0 | 232 | 232 | 640x640x3 | 4.32 | 11.12 | |
| yolov7⭐ | 50.6 | 48.9 | 54.9 | 85.0 | 640x640x3 | 36.91 | 104.51 | |
| yolov7_tiny | 37.1 | 36.2 | 272 | 375 | 640x640x3 | 6.22 | 13.74 | |
| yolov7e6 | 55.4 | 53.2 | 16.7 | 20.5 | 1280x1280x3 | 97.20 | 515.12 | |
| yolov7x⭐ | 52.4 | 51.0 | 34.9 | 53.0 | 640x640x3 | 71.46 | 189.68 | |
| yolov8l⭐ | 52.4 | 51.9 | 40.0 | 61.0 | 640x640x3 | 43.7 | 165.3 | |
| yolov8m⭐ | 49.9 | 49.2 | 78.5 | 132 | 640x640x3 | 25.9 | 78.93 | |
| yolov8n⭐ | 37.0 | 36.5 | 378 | 388 | 640x640x3 | 3.2 | 8.74 | |
| yolov8s⭐ | 44.6 | 44.1 | 166 | 261 | 640x640x3 | 11.2 | 28.6 | |
| yolov8s_bbox_decoding_only | 44.8 | 44.3 | 166 | 258 | 640x640x3 | 11.2 | 28.6 | |
| yolov8x⭐ | 53.5 | 52.8 | 25.8 | 38.6 | 640x640x3 | 68.2 | 258 | |
| yolov9c⭐ | 52.6 | 51.5 | 54.5 | 90.1 | 640x640x3 | 25.3 | 102.1 | |
| yolox_l_leaky | 48.7 | 46.6 | 45.0 | 66.8 | 640x640x3 | 54.17 | 155.3 | |
| yolox_s_leaky | 38.1 | 37.3 | 200 | 243 | 640x640x3 | 8.96 | 26.74 | |
| yolox_s_wide_leaky | 42.4 | 41.0 | 113 | 153 | 640x640x3 | 20.12 | 59.46 | |
| yolox_tiny | 32.6 | 31.5 | 400 | 568 | 416x416x3 | 5.05 | 6.44 |