Rockchip RK3588 NPU · yolov8 · 1 camera

Frigate 0.12.1Community build older version, may be outdated

Posted Sep 2023·GitHub #7601 ·db-128

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

Inference

40 ms

as reported

Est. capacity

~25 det/s

1000 ÷ 40 ms · estimate

Cameras

as reported

CPU

—

not reported

Power

—

not reported

Parts

prices show only once verified by hand

Accelerator

Rockchip RK3588 NPU

RKNN (Rockchip) · 6 builds on DetectFPS

price not tracked yet

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Host

Orange Pi 5B

Host · 1 build

price not tracked yet

CPU

—

not reported

—

Cameras

1 camera

resolution not reported

—

Tracked totalno verified prices yet

Setup

Detector

RKNN (Rockchip)

Detector instances

—

Model, as reported

yolov8

Model family · input

yolov8 · input not stated

Camera resolution

—

Cameras

Frigate version

0.12.1 (0.12 series, 6 behind newest)

Armbian 23.08.0

Numbers

dashes mean the source didn't say

Inference

40 ms

Inference range

—

Total fps

—

CPU

—

Power

—

Used in stats

Yes

Notes and flags

This build ran Frigate 0.12.1, more than two minor versions behind 0.18.2. Detectors and models have changed since, so treat the number as historical.

Source

Where

github.com/blakeblackshear/frigate/discussions/7601

Date, as the source wrote it

2023-09/2023-11 (month precision)

Added to DetectFPS

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

What this build implies

1 cameras at 5 fps, Typical activity

Comfortable 2.5 of ~25 det/s

0%60%100%

Demand 1 × 5 × 0.5 = 2.5 det/s against ~25 det/s from this build's own 40 ms. An estimate.

Try other settings in the calculator

Hardware

Rockchip RK3588 NPU

Detector type

RKNN (Rockchip)

Builds on DetectFPS

Median, this model

40 ms (1 build)

Price

price not tracked yet

Shown because this guide lists Rockchip RK3588 NPU in its hardware (hardware_ids). Cross-device guides are only linked when they name this device or its host.

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Jun 2024GitHub #12011

5 other builds use the same device; the rest share the yolov8 model family.