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Hailo-8 AI Processor vs Google Coral USB Accelerator — Specs & Performance Compared

Side-by-side comparison of 2 APU parts: Hailo-8 AI Processor vs Google Coral USB Accelerator. Release years: 2019, 2021. MSRP range: $200 · $60. Specs, synthetic benchmarks, AI inference tok/s, and Amazon availability — click into any column header for the per-SKU benchmark page.

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*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.

BenchmarkHailo-8 AI ProcessorGoogle Coral USB Accelerator
CenterNet ResNet V1-50 Detection (512x512, batch=1) 87 FPS—
Edge TPU Peak Compute (INT8) —4 TOPS
Edge TPU Peak Throughput —4 TOPS
Edge TPU Power Efficiency (INT8) —2 TOPS/W
EfficientNet-M Image Classification (hw-only, batch=1, 240x240) 984 FPS—
MobileNet V1 Classification (224x224) 3,305 FPS—
MobileNet V2 Classification Throughput (datasheet headline) —400 fps
MobileNet V2 Peak Inference Throughput (USB 3.0, model-exec only) —385 inferences/sec
MobileNet V2 USB 2.0 Standard Clock Latency —13 ms
MobileNet V2 USB 3.0 Standard Clock Latency —3 ms
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—

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

All Hailo-8 AI Processor AI benchmarks →

Google Coral USB Accelerator

  • MobileNet V1 1.0 224x224: 416.7 tok/s
  • MobileNet V2 (image classification, 224×224 INT8): 384.6 tok/s
  • MobileNet V2 1.0 224x224: 384.6 tok/s

All Google Coral USB Accelerator AI benchmarks →

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