Intel iGPU (model not stated)

AcceleratorOpenVINO (Intel)

2 builds on DetectFPS: 0 Frigate docs references and 2 community builds. All 2 are usable for stats. Hardware id intel-igpu-unspecified.

Median inference
33.39 ms
all models · 2 usable builds
Fastest model
16 ms
unspecified · 1 community build
Most cameras seen
13
db-157 · n/s
Price
not tracked
no verified price yet
Max detectors
—
no limit recorded

Median inference by model

Capacity and cameras are estimates
Model · inputMedianCapacityCameras
unspecified
16 ms
1 community build
63 det/s
15
frigate-plus · 640
50.77 ms
1 community build
20 det/s
4

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-173 community Frigate+ yolov9s 640 50.77 ms 6 0.18.2-cfa08c5 Oct 16, 2026 · GitHub #24688
db-157 community n/s 16 ms 13 — Apr 14, 2025 · GitHub #17700

Community builds first, then docs references. db-173: “84% iGPU usage. Maintainer advised switching to a 320x320 model; no after numbers posted yet.” db-157: “Detector CPU 100%.”