Google Coral (type not stated) · n/s · 15 cameras

Community build

Posted Mar 1, 2026·GitHub #22189 ·db-153

I run this too, add my numbers Opens the submit form prefilled with this hardware, model and version

Inference

10 ms

as reported

Est. capacity

~100 det/s

1000 ÷ 10 ms · estimate

Cameras

as reported

CPU

—

not reported

Power

—

not reported

Parts

prices show only once verified by hand

Accelerator

Google Coral (type not stated)

Coral (EdgeTPU) · 4 builds on DetectFPS · reported as “Google Coral”

price not tracked yet

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Host

HPE ProLiant DL380 Gen10

Host · 2 builds

price not tracked yet

CPU

—

not reported

—

Cameras

15 cameras

resolution not reported

—

Tracked totalno verified prices yet

Setup

Detector

Coral (EdgeTPU)

Detector instances

—

Model, as reported

n/s

Model family · input

unspecified · input not stated

Camera resolution

—

Cameras

Frigate version

—

Numbers

dashes mean the source didn't say

Inference

10 ms

Inference range

—

Total fps

—

CPU

—

Power

—

Used in stats

Yes

Notes and flags

'around 10ms' previously on same server

Source

Where

github.com/blakeblackshear/frigate/discussions/22189

Date, as the source wrote it

2026-03-01 (day precision)

Added to DetectFPS

from a public post; numbers copied as written, not re-tested

What this build implies

15 cameras at 5 fps, Typical activity

Comfortable 37.5 of ~100 det/s

0%60%100%

Demand 15 × 5 × 0.5 = 37.5 det/s against ~100 det/s from this build's own 10 ms. An estimate; the poster's note: “'around 10ms' previously on same server”.

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Hardware

Google Coral (type not stated)

Detector type

Coral (EdgeTPU)

Builds on DetectFPS

Median, this model

10 ms (1 build)

Price

price not tracked yet

Shown because this guide lists Google Coral (type not stated) in its hardware (hardware_ids). Cross-device guides are only linked when they name this device or its host.

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