Google Coral PCIe Accelerator Benchmarks

Bottom line: how fast is the Google Coral PCIe Accelerator?

In MobileNet V1 image classification inference it scores 417 inferences/sec, per Google Coral 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. Data on this page draws on 30 synthetic benchmark results (top 10 shown), compiled from Google Coral Documentation, arXiv 2306.12093 — Edge Devices Inference Performance Comparison; each table row links to its source. 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 (vision inference workloads and edge AI applications).

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 PCIe Accelerator — higher is better. Each row links to the public database the number was taken from.
Benchmark	Score	Source
MobileNet V1 image classification inference	417 inferences/sec	Google Coral Official Documentation 2020-06
MobileNet V2 image classification inference	385 inferences/sec	Google Coral Official Documentation 2020-06
MobileNet V2 Image Classification INT8 - Throughput	345 FPS	Google Coral Documentation 2020-01
MobileNet V2 Image Classification (224×224) — Coral PCIe	289.01 inferences/sec	arXiv 2306.12093 — Edge Devices Inference Performance Comparison 2023-06
EfficientDet-Lite3x Object Detection INT8 - Inference Latency (PCIe-only model)	197 ms	Google Coral Documentation 2020-01
EfficientNet-EdgeTPU-S image classification inference	196 inferences/sec	Google Coral Official Documentation 2020-06
SSD MobileNet V1 object detection inference	154 inferences/sec	Google Coral Official Documentation 2020-06
SSD MobileNet V1 Object Detection (300×300) — Edge TPU	153.85 inferences/sec	Google Coral Official Model Zoo — coral.ai 2023-01
SSD MobileNet V2 object detection inference	137 inferences/sec	Google Coral Official Documentation 2020-06
SSD MobileNet V2 Object Detection (300×300) — Edge TPU	136.99 inferences/sec	Google Coral Official Model Zoo — coral.ai 2023-01

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?

Google Coral PCIe Accelerator is a Coral-family integrated CPU+GPU. Mainstream desktops and gaming builds are the typical workloads.

When was the Google Coral PCIe Accelerator released, and what was its launch MSRP?

Google Coral PCIe Accelerator launched in 2020 at a $35 MSRP. Street prices drift from launch pricing over a product's life, so check the current listing before buying.

Where do the Google Coral PCIe 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 PCIe Accelerator have, and how does it benchmark?

Core and thread counts for Google Coral PCIe 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 PCIe Accelerator?

SpecPicks has no verified listing of the Google Coral PCIe 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.