Object Detection on Intel Core i7 CPU 2.6 GHz (test)
60.3Latency (ms)YOLOv6-N
Evaluation results
| Method | Links | |
|---|---|---|
| YOLOv6-NInput=640, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 60.3 | |
| YOLOv5-NInput=640, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 118.9 | |
| YOLOv7-TinyInput=640, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 137.5 | |
| YOLOX-TinyInput=416, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 144.2 | |
| YOLOv6-SInput=640, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 148 | |
| YOLOX-SInput=640, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 164.6 | |
| YOLOv5-SInput=640, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 202.2 | |
| YOLOv6-MInput=640, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 269.3 | |
| YOLOX-MInput=640, Precision=FP32, Batch Size=1, Backend=OpenCV DNN2023.01 | 357.9 |