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Google Coral USB Accelerator
Google · APU · Coral

Google Coral USB Accelerator — Benchmarks & Specs

$60 MSRP2019
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Bottom line: how fast is the Google Coral USB Accelerator?

For vision inference it processes 416.7 images/sec running MobileNet V1 1.0 224x224, per Google Coral. Note: this device is a fixed-function Edge TPU and cannot run LLM workloads — inference figures are images/sec, not language-model tokens/sec. In MobileNet V2 Classification Throughput (datasheet headline) it scores 400 fps, per Google Coral.

Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

The Google Coral USB Accelerator is an APU from the Coral family released in 2019 from Google. It launched with a $60 MSRP, though street prices typically diverge meaningfully from launch pricing. Data on this page draws on 25 synthetic benchmark results (top 10 shown), 37 vision inference benchmarks (top 12 shown), compiled from Google Coral, Analytics Vidhya (Medium) — Nicolas Bortolotti, Edge Devices Inference Performance Comparison; each table row links to its source. Read this page when shopping the Google Coral USB Accelerator, comparing it against other APUs in your build, or sizing it for a specific workload (vision inference workloads and edge AI applications).

Vision Inference Performance (images/sec)

Images (or frames) per second by model + input resolution — Edge TPU vision benchmarks only. This device does not support LLM inference. Higher = faster classification or detection.

Vision inference throughput on the Google Coral USB Accelerator (images/sec — Edge TPU vision models only, not LLM inference). Higher is better; each row links to the benchmark source.
Model Quantization Relative Inferences/sec VRAM used Source
MobileNet V1 1.0 224x224 INT8 TFLite Edge TPU 416.7 img/s — Google Coral — Edge TPU Performance Benchmarks (official) 2019-01-01
MobileNet V2 1.0 224x224 INT8 TFLite Edge TPU 384.6 img/s — Google Coral — Edge TPU Performance Benchmarks (official) 2019-01-01
MobileNet V2 (image classification, 224×224 INT8) INT8 tflite 384.6 img/s — Analytics Vidhya (Medium) — Nicolas Bortolotti 2020-02-06
MobileNet V2 (image classification, 224×224 INT8) INT8 tflite 365.8 img/s — Edge Devices Inference Performance Comparison (arXiv:2306.12093) 2023-06-20
MobileNet V2 (224×224) image classification INT8 TensorFlow Lite + Edge TPU runtime 365.8 img/s — Tobiasz et al. — Edge Devices Inference Performance Comparison, arXiv 2306.12093 2023-06-21
EfficientNet-EdgeTPU-S INT8 TFLite Edge TPU 200.0 img/s — Google Coral — Models Catalog (official) 2020-01-01
EfficientNet-EdgeTPU-S (224×224) image classification INT8 TensorFlow Lite (Edge TPU compiled) 196.0 img/s — Google Coral Official Docs 2020-01-01
SSD MobileNet V1 INT8 TFLite Edge TPU 153.8 img/s — Google Coral — Edge TPU Performance Benchmarks (official) 2019-01-01
MoveNet SinglePose Lightning INT8 TFLite Edge TPU 140.8 img/s — Google Coral — Models Catalog (official) 2021-01-01
SSD MobileNet V2 INT8 TFLite Edge TPU 138.9 img/s — Google Coral — Edge TPU Performance Benchmarks (official) 2019-01-01
EfficientNet-EdgeTPU-M INT8 TFLite Edge TPU 136.9 img/s — Google Coral — Models Catalog (official) 2020-01-01
EfficientNet-EdgeTPU-M (224×224) image classification INT8 TensorFlow Lite (Edge TPU compiled) 115.0 img/s — Google Coral Official Docs 2020-01-01

Synthetic Benchmarks

Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.

Synthetic benchmark scores for the Google Coral USB Accelerator — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
MobileNet V2 Classification Throughput (datasheet headline) 400 fps Google Coral — USB Accelerator Datasheet v1.4 2019-01-01
MobileNet V2 Peak Inference Throughput (USB 3.0, model-exec only) 385 inferences/sec Google Coral Official Docs 2020-01-01
Edge TPU inference latency — VGG19 (224x224) 308 ms Google Coral (official Edge TPU benchmarks) 2020-01-01
Edge TPU inference latency — VGG16 (224x224) 296 ms Google Coral (official Edge TPU benchmarks) 2020-01-01
Edge TPU inference latency — ResNet-152 V2 (299x299) 128 ms Google Coral (official Edge TPU benchmarks) 2020-01-01
Edge TPU inference latency — Inception v4 (299x299) 85 ms Google Coral (official Edge TPU benchmarks) 2020-01-01
Edge TPU inference latency — Inception-ResNet V2 (299x299) 57 ms Google Coral (official Edge TPU benchmarks) 2020-01-01
Edge TPU inference latency — DeepLab V3 (513x513) 52 ms Google Coral (official Edge TPU benchmarks) 2020-01-01
Edge TPU inference latency — ResNet-50 V2 (299x299) 50 ms Google Coral (official Edge TPU benchmarks) 2020-01-01
Edge TPU inference latency — ResNet-50 V1 (299x299) 49 ms Google Coral (official Edge TPU benchmarks) 2020-01-01

Full Specifications

ai tops4
interfaceUSB 3.0

Google Coral USB Accelerator — Frequently Asked Questions

What is the Google Coral USB Accelerator best used for?
Google Coral USB Accelerator is a Coral-family integrated CPU+GPU. Mainstream desktops and gaming builds are the typical workloads.
When was the Google Coral USB Accelerator released, and what was its launch MSRP?
Google Coral USB Accelerator launched in 2019 at a $60 MSRP. Street prices drift from launch pricing over a product's life, so check the current listing before buying.
Where do the Google Coral USB Accelerator benchmark numbers come from?
Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.
How many cores does the Google Coral USB Accelerator have, and how does it benchmark?
Core and thread counts for Google Coral USB Accelerator aren't on file. Synthetic benchmark results (PassMark CPU Mark, Cinebench, Geekbench) are in the Synthetic Benchmarks section.
Where can I buy the Google Coral USB Accelerator?
SpecPicks has no verified listing of the Google Coral USB Accelerator on file yet; the Amazon search link at the top of this page shows its current offers. SpecPicks earns a small affiliate commission on qualifying purchases.

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