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Hailo-8L: 46 benchmark rows, 67% measured.

Method v1.4.1 · dataset 2026-09-29 · verified 2026-09-16 · last updated September 2026

31 of 46 rows are measured and published (class C); the rest are EdgeAIStack-derived (class D). 14 model families. Precisions: INT8 (46). Runtimes: hailo sdk (46). Tasks: detection (27), classification (4), pose (6), segmentation (9).

Family × precision: best value

The fastest matching row per family and precision (fps, or tokens/s for language models), with its evidence class. Click a cell for the full breakdown.

FamilyINT8
DETR23.4 fps C
MobileNet2565 fps C
MobileNetV21738 fps C
ResNet172 fps C
SSD MobileNet356 fps C
YOLO11371 fps C
YOLO11151 fps D
YOLO11129 fps D
YOLOv10359 fps C
YOLOv5243 fps C
YOLOv5145 fps C
YOLOv8438 fps C
YOLOv8195 fps D
YOLOv8168 fps C

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