Tests for yolov8s, 8s_h8l and 11m on the hailo 13M. Note 8s_h8l is slightly faster than 8s.
Code:
gt64bw@raspberrypi:~ $ hailortcli run /usr/share/hailo-models/yolov8s.hef --batch-size 1Running streaming inference (/usr/share/hailo-models/yolov8s.hef): Transform data: true Type: auto Quantized: trueNetwork yolov8s/yolov8s: 100% | 143 | FPS: 28.59 | ETA: 00:00:00> Inference result: Network group: yolov8s Frames count: 143 FPS: 28.59 Send Rate: 281.06 Mbit/s Recv Rate: 279.31 Mbit/sgt64bw@raspberrypi:~ $ hailortcli run /usr/share/hailo-models/yolov8s_h8l.hef --batch-size 1Running streaming inference (/usr/share/hailo-models/yolov8s_h8l.hef): Transform data: true Type: auto Quantized: trueNetwork yolov8s/yolov8s: 100% | 149 | FPS: 29.76 | ETA: 00:00:00> Inference result: Network group: yolov8s Frames count: 149 FPS: 29.76 Send Rate: 292.56 Mbit/s Recv Rate: 290.73 Mbit/sgt64bw@raspberrypi:~ $ hailortcli run /usr/share/hailo-models/yolov11m.hef --batch-size 1Running streaming inference (/usr/share/hailo-models/yolov11m.hef): Transform data: true Type: auto Quantized: trueNetwork yolov11m/yolov11m: 100% | 60 | FPS: 12.00 | ETA: 00:00:00> Inference result: Network group: yolov11m Frames count: 60 FPS: 12.00 Send Rate: 117.93 Mbit/s Recv Rate: 117.19 Mbit/sStatistics: Posted by gordon77 — Tue Sep 23, 2025 7:22 am