Hailo · Hailo
Hailo-8 AI Processor
$200 MSRP2021
Full Hailo-8 AI Processor benchmarks →
Hailo-8 AI Processor vs NVIDIA Jetson Orin Nano Super — Specs & Performance Compared
Side-by-side comparison of 2 APU parts: Hailo-8 AI Processor vs NVIDIA Jetson Orin Nano Super. Release years: 2021, 2024. MSRP range: $200 · $249. Specs, synthetic benchmarks, AI inference tok/s, and Amazon availability — click into any column header for the per-SKU benchmark page.
vs
NVIDIA · Jetson Orin
NVIDIA Jetson Orin Nano Super
$249 MSRP2024
Full NVIDIA Jetson Orin Nano Super benchmarks →
*Price sourced from Amazon.com. Price and availability subject to change.
Synthetic benchmarks
Higher is better. Per-row scores come from public benchmark databases (PassMark, TechPowerUp, Geekbench, Cinebench). Empty cells mean we don't yet have that benchmark on file for the SKU.
| Benchmark | Hailo-8 AI Processor | NVIDIA Jetson Orin Nano Super |
|---|---|---|
| 7-Zip MIPS | — | 14,820 DMIPS |
| CenterNet ResNet V1-50 Detection (512x512, batch=1) | 87 FPS | — |
| EfficientNet-M Image Classification (hw-only, batch=1, 240x240) | 984 FPS | — |
| Geekbench 5 multi-core | — | 2,866 points |
| Geekbench 5 single-core | — | 538 points |
| glmark2 OpenGL 4.6 | — | 2,563 points |
| glmark2-es2 | — | 2,488 points |
| MobileNet V1 Classification (224x224) | 3,305 FPS | — |
| MobileNet-v2-1.0 Image Classification (hw-only, batch=1, 224x224) | 2,597 FPS | — |
| MobileNet-v3 Image Classification (hw-only, batch=1, 224x224) | 3,697 FPS | — |
| ResNet V1-18 Classification (224x224) | 2,718 FPS | — |
| ResNet V1-50 Classification (224x224, hw_only streaming) | 1,329 FPS | — |
AI inference (tokens/sec)
Top community-reported tokens-per-second results for popular LLMs. See the per-SKU benchmark page for the full set including quantization, prompt length, and source citations.
Hailo-8 AI Processor
- YOLOv8s: 491.0 tok/s
- YOLOv8n: 431.0 tok/s
- YOLOv8m (multi-stream object detection, 640x640, batch 8): 0.0 tok/s
NVIDIA Jetson Orin Nano Super
- llama3.2:1b: 86.5 tok/s
- llama3.2:1b: 79.0 tok/s
- smollm2:1.7b: 64.5 tok/s
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