Detect Model
Pre-process | Inference | Post-process | NB Size | |
yolov8nu8 | 3ms | 25ms | 19ms | 6.93MB |
yolov8n16 | 3ms | 50ms | 29ms | 8.57MB |
yolov8su8 | 3ms | 47ms | 20ms | 9.94MB |
yolov8s16 | 3ms | 112ms | 34ms | 20.0MB |
yolov8mu8 | 3ms | 75ms | 21ms | 19.4MB |
yolov8m16 | 3ms | 232ms | 35ms | 41.3MB |
yolov8lu8 | 3ms | 142ms | 25ms | 33.2MB |
yolov8l16 | 3ms | 390ms | 35ms | 66.4MB |
| Info |
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yolov8nu8 means that yolov8n model convert to uint8 format with VSI ACUITY toolkit. yolov8n16 means that yolov8n model convert to int16 format with VSI ACUITY toolkit. All experimental data were measured in the C3V q654 environment. |
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Read a BGR file(640*640) which was on the rootfs of c3v q654.
yolov8 nano uint8 detect model.
Just one thread for reading frame of the file and feeding to NN module.
Record the duration that between the time1 which is feeding the 1st frame and the time2 which is just outputing the 1000th's NN post result.
Average time = duration / 1000 = 30.293ms .
So, maybe we can run 30fps video for NN runtime by yolov8 nano uint8 detect model.
Pose Model
Pre-process | Inference | Post-process | NB Size | |
yolov8nu8-pose | 3ms | 26ms | 17ms | 7.02MB |
yolov8n16-pose | 3ms | 52ms | 19ms | 9.00MB |
yolov8su8-pose | 3ms | 47ms | 15ms | 10.1MB |
yolov8s16-pose | 3ms | 116ms | 19ms | 20.9MB |
| Info |
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yolov8nu8-pose means that yolov8n pose model convert to uint8 format with VSI ACUITY toolkit. yolov8n16-pose means that yolov8n pose model convert to int16 format with VSI ACUITY toolkit. All experimental data were measured in the C3V q654 environment. |
Segment Model
Pre-process | Inference | Post-process | NB Size | |
yolov8nu8-seg | 3ms | 30ms | 26ms | 7.67MB |
yolov8n16-seg | 3ms | 60ms | 36ms | 9.69MB |
yolov8su8-seg | 3ms | 59ms | 26ms | 10.8MB |
yolov8s16-seg | 3ms | 138ms | 37ms | 21.7MB |
| Info |
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yolov8nu8-seg means that yolov8n segment model convert to uint8 format with VSI ACUITY toolkit. yolov8n16-seg means that yolov8n segment model convert to int16 format with VSI ACUITY toolkit. All experimental data were measured in the C3V q654 environment. |
Classify Model
Pre-process | Inference | Post-process | NB Size | |
yolov8nu8-cls | 0ms | 4ms | 0ms | 2.1MB |
yolov8n16-cls | 0ms | 5ms | 0ms | 4.51MB |
yolov8su8-cls | 0ms | 5ms | 0ms | 4.49MB |
yolov8s16-cls | 0ms | 9ms | 0ms | 10.1MB |
yolov8x16-cls | 0ms | 46ms | 0ms | 86.2MB |
| Info |
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yolov8nu8-cls means that yolov8n classify model convert to uint8 format with VSI ACUITY toolkit. yolov8n16-cls means that yolov8n classify model convert to int16 format with VSI ACUITY toolkit. All experimental data were measured in the C3V q654 environment. |
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| Info |
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yolov8x16-cls means that yolov8x classify model convert to int16 format with VSI ACUITY toolkit. yolov8n16-cls means that yolov8n classify model convert to int16 format with VSI ACUITY toolkit. yolov8nu8-cls means that yolov8n classify model convert to uint8 format with VSI ACUITY toolkit. All experimental data were measured in the C3V q654 environment. |
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Based on the official parameters of the integrated model and our measurement data on the C3V platform, we recommend using YOLOv8n16-cls.
OBB Model
Pre-process | Inference | Post-process | NB Size | |
yolov8nu8-obb | 7ms | 74ms | 14ms | 6.44MB |
yolov8n16-obb | 9ms | 148ms | 18ms | 13.7MB |
yolov8su8-obb | 7ms | 119ms | 14ms | 18.8MB |
yolov8s16-obb | 9ms | 374ms | 18ms | 23.5MB |
| Info |
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yolov8nu8-obb means that yolov8n OBB model convert to uint8 format with VSI ACUITY toolkit. yolov8n16-obb means that yolov8n OBB model convert to int16 format with VSI ACUITY toolkit. All experimental data were measured in the C3V q654 environment. |
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