Intel N97 (iGPU)

AcceleratorOpenVINO (Intel)

1 build on DetectFPS: 0 Frigate docs references and 1 community build. All 1 are usable for stats. Hardware id intel-n97.

Median inference
18.5 ms
all models · 1 usable build
Fastest model
18.5 ms
yolov9-t · 320 · 1 community build
Most cameras seen
8
db-166 · yolov9-t 320
Price
not tracked
no verified price yet
Max detectors
—
no limit recorded

Median inference by model

Capacity and cameras are estimates
Model · inputMedianCapacityCameras
yolov9-t · 320
18.5 ms
1 community build
54 det/s
12

Bars show relative throughput (fastest model = full). Capacity = 1000 ÷ median ms for one detector. Cameras = how many at 5 fps and Typical activity stay under 60% of that capacity. Where a row mixes docs and community numbers, treat the median as a range rather than a point.

All builds for this device

Open in the database →
BuildSourceModelSpeedCamsFrigatePosted
db-166 community yolov9-t 320 18.5 ms 8 0.17 Mar 19, 2026 · yanghu.github.io

Community builds first, then docs references.