HWBenchedge-AI hardware data, cited & graded

Which board is best for instance segmentation under $300?

Hailo-8 (M.2/PCIe, x86 host): 528 FPS (yolov8n_seg, INT8 (Hailo quantized); grade D; undated). Next: Hailo-10H (M.2/PCIe, x86 host) 311 FPS; Hailo-8L (M.2/PCIe, x86 host) 168 FPS. Like-for-like group: nano (YOLO-n), batch 1.

Top results
#PlatformResultPerf/WPriceGrade · dateSource
1Hailo-8 (M.2/PCIe, x86 host)528 FPS
yolov8n_seg · INT8 (Hailo quantized)
211 specunknownD undatedHailo Model Zoo public models (Hailo-8)
2Hailo-10H (M.2/PCIe, x86 host)311 FPS
yolov8n_seg · INT8 (Hailo quantized)
124 specunknownD undatedHailo Model Zoo public models (Hailo-10H)
3Hailo-8L (M.2/PCIe, x86 host)168 FPS
yolov8n_seg · INT8 (Hailo quantized)
112 specunknownD undatedHailo Model Zoo public models (Hailo-8L)
4Apple M4 (10-core GPU, 120 GB/s)196 FPS
YOLO26n-seg · FP16
unknownunknownB 2026 (year only)Ultralytics docs: Apple Core AI integration benchmark
5Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)14.13 FPS
yolov8n-seg · INT8 (VNNX)
unknownunknownD undatedMicrochip VectorBlox SDK tutorial metrics

Filters: task=instance segmentation, budget=300. Ranking: boards that meet every known target, then headroom and perf/W; unknown power or price is not penalised. Open in /find · JSON

Sources

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.