Google Coral PCIe Accelerator — Benchmarks & Specs
Bottom line: how fast is the Google Coral PCIe Accelerator?
In MobileNet V1 image classification inference it scores 417 inferences/sec, per Google Coral Official Documentation.
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 PCIe Accelerator is an APU from the Coral family released in 2020 from Google. It launched with a $35 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current Amazon listings. Data on this page draws on 10 synthetic benchmark results, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the Google Coral PCIe Accelerator, comparing it against other APUs in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, productivity benchmarks, or local LLM inference).
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.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| MobileNet V1 image classification inference | 417 inferences/sec | Google Coral Official Documentation 2020-06-01 | |
| MobileNet V2 image classification inference | 385 inferences/sec | Google Coral Official Documentation 2020-06-01 | |
| MobileNet V2 Image Classification INT8 - Throughput | 345 FPS | Google Coral Documentation 2020-01-01 | |
| MobileNet V2 Image Classification (224×224) — Coral PCIe | 289.01 inferences/sec | arXiv 2306.12093 — Edge Devices Inference Performance Comparison 2023-06-01 | |
| EfficientDet-Lite3x Object Detection INT8 - Inference Latency (PCIe-only model) | 197 ms | Google Coral Documentation 2020-01-01 | |
| EfficientNet-EdgeTPU-S image classification inference | 196 inferences/sec | Google Coral Official Documentation 2020-06-01 | |
| SSD MobileNet V1 object detection inference | 154 inferences/sec | Google Coral Official Documentation 2020-06-01 | |
| SSD MobileNet V1 Object Detection (300×300) — Edge TPU | 153.85 inferences/sec | Google Coral Official Model Zoo — coral.ai 2023-01-01 | |
| SSD MobileNet V2 object detection inference | 137 inferences/sec | Google Coral Official Documentation 2020-06-01 | |
| SSD MobileNet V2 Object Detection (300×300) — Edge TPU | 136.99 inferences/sec | Google Coral Official Model Zoo — coral.ai 2023-01-01 |
Full Specifications
| ai tops | 4 |
|---|---|
| interface | PCIe M.2 |
Google Coral PCIe Accelerator — Frequently Asked Questions
What is the Google Coral PCIe Accelerator best used for?
When was the Google Coral PCIe Accelerator released, and what was its launch MSRP?
Where do the benchmark numbers on this page come from?
How does the Google Coral PCIe Accelerator compare to its predecessor?
Where can I buy the Google Coral PCIe Accelerator?
Buying guides that rank the Google Coral PCIe Accelerator's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
Editorial guides covering the Google Coral PCIe Accelerator
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