Apple M1 · yolov9-s 320

Frigate docs reference

Checked 2026-10-19· Frigate docs hardware page ·db-083

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

Inference

9 ms

docs reference

Est. capacity

~111 det/s

1000 ÷ 9 ms · estimate

Cameras

—

not reported

CPU

—

not reported

Power

—

not reported

Parts

prices show only once verified by hand

SoC

Apple M1

Apple Silicon · 2 builds on DetectFPS

price not tracked yet

Get price drops in the weekly newsletter

Price drops, once a week

When a tracked price is verified or drops, it goes in the newsletter alongside new benchmarks. No per-device alerts and no tracking: the newsletter is the only list.

Newsletter coming soon The signup form appears here as soon as the newsletter embed code is pasted into site.json. Issue #1 is already readable here.

Host

Apple M1

SoC · 2 builds

price not tracked yet

CPU

—

not reported

—

Cameras

—

resolution not reported

—

Tracked totalno verified prices yet

Setup

Detector

Apple Silicon

Detector instances

—

Model, as reported

yolov9-s 320

Model family · input

yolov9-s · 320

Camera resolution

—

Cameras

—

Frigate version

—

Numbers

dashes mean the source didn't say

Inference

9 ms

Inference range

—

Total fps

—

CPU

—

Power

—

Used in stats

Yes

Source

Where

docs.frigate.video/frigate/hardware

Date, as the source wrote it

—

Added to DetectFPS

copied from the Frigate project's hardware page on 2026-10-19; approximate reference value

What this build implies

~111 detections per second

1000 ÷ 9 ms. No camera count was reported, so use the calculator to see what that covers: at 5 fps and Typical activity, that is about 26 cameras comfortably.

Open in the calculator

Hardware

Apple M1

Detector type

Apple Silicon

Builds on DetectFPS

Median, this model

9 ms (2 builds)

Price

price not tracked yet

Shown because this guide lists Apple M1 in its hardware (hardware_ids). Cross-device guides are only linked when they name this device or its host.

Affiliate links

DetectFPS may earn a commission when you buy through links on this site. It never changes which builds we show or how they rank. Buy buttons say “affiliate link” whenever one is used; none is used on this page.

Similar builds

Same device, then the same model family

Nvidia RTX 5070 Ti

ONNX (Nvidia / GPU) · About 20-25 cameras (20 recorded).

Speed10.5 ms

Cameras20

Modelyolov9-s 320

Version0.17.2

AcceleratorNvidia RTX 5070 Tiprice not tracked
Host—
CPUIntel Core i7-14700KF

Aug 13, 2026GitHub #23978

Intel UHD 730 (12th-14th gen iGPU)

OpenVINO (Intel) · Detector CPU 50-75%.

Speed15–20 ms

Cameras1

Modelyolov9-s 320

Version—

AcceleratorIntel UHD 730 (12th-14th gen iGPU)price not tracked
Host—
CPUIntel Core i5-14400

Nov 2025GitHub #20991

Intel Arc A310

OpenVINO (Intel) · ~20 ms; no Resizable BAR support

Speed20 ms

Cameras15

Modelyolov9-s 320

Version—

AcceleratorIntel Arc A310price not tracked
HostHPE ProLiant DL380 Gen10price not tracked
CPU—

Mar 1, 2026GitHub #22189

AMD XDNA2 NPU (Strix Halo)

AMD XDNA2 NPU · Community ZMQ sidecar detector.

Frigate docs

Speed9 ms

Cameras—

Modelyolov9-s 320

Version—

AcceleratorAMD XDNA2 NPU (Strix Halo)price not tracked
HostAMD Strix Halo (Ryzen AI Max 300) PCprice not tracked
CPU—

checked 2026-10-19Frigate docs

Intel Iris Xe (iGPU)

OpenVINO (Intel)

Frigate docs

Speed8 ms

Cameras—

Modelyolov9-s 320

Version—

AcceleratorIntel Iris Xe (iGPU)price not tracked
Host—
CPU—

checked 2026-10-19Frigate docs

Intel Arc A310

OpenVINO (Intel)

Frigate docs

Speed8 ms

Cameras—

Modelyolov9-s 320

Version—

AcceleratorIntel Arc A310price not tracked
Host—
CPU—

checked 2026-10-19Frigate docs

No other build uses this exact device yet; these share the yolov9-s model family (34 builds), nearest speeds first.