How fast is YOLOv8n on M.2 AI accelerators?
The fastest result is the Hailo-8 (M.2/PCIe, x86 host) at 1,036 FPS, running yolov8n in INT8 (Hailo quantized). That is the vendor's own figure, from a page last edited on 2026-10-15. Hailo-10H (M.2/PCIe, x86 host) comes next at 375 FPS, then Hailo-8L (M.2/PCIe, x86 host) at 201 FPS. All of these are nano models at batch 1, so they compare directly.
| # | Platform | Result | Power | Perf/W | Price | Grade · date | Source |
|---|---|---|---|---|---|---|---|
| 1 | Hailo-8 (M.2/PCIe, x86 host) | 1,036 FPS yolov8n · INT8 (Hailo quantized) | 2.5 W (spec) | 414 FPS/W (spec power) | unknown | D 2026-10-15 (page last edited) | Hailo Model Zoo public models (Hailo-8) |
| 2 | Hailo-10H (M.2/PCIe, x86 host) | 375 FPS yolov8n · INT8 (Hailo quantized) | 2.5 W (spec) | 150 FPS/W (spec power) | unknown | D 2026-09-03 (page last edited) | Hailo Model Zoo public models (Hailo-10H) |
| 3 | Hailo-8L (M.2/PCIe, x86 host) | 201 FPS yolov8n · INT8 (Hailo quantized) | 1.5 W (spec) | 134 FPS/W (spec power) | unknown | D 2026-10-15 (page last edited) | Hailo Model Zoo public models (Hailo-8L) |
Filters: task=object detection, model=yolov8n, form=M.2. Power marked “spec” is the vendor's rated figure, not a measurement. Ranking: grade A–C dated results first where available, then headroom and perf/W. Open in /find · JSON
Sources
- https://github.com/hailo-ai/hailo_model_zoo/tree/v2.20.0/docs/public_models/HAILO8
- https://github.com/hailo-ai/hailo_model_zoo/tree/v5.4.0/docs/public_models/HAILO10H
- https://github.com/hailo-ai/hailo_model_zoo/tree/v2.20.0/docs/public_models/HAILO8L
Generated 2026-10-16 from HWBench data only. All answers · Submit a result
Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.