Intel N100 (iGPU)
AcceleratorOpenVINO (Intel)
8 builds on DetectFPS: 3 Frigate docs references and 5 community builds. 7 usable for stats. Hardware id intel-n100.
Median inference
25 ms
all models · 7 usable builds
Fastest model
12 ms
mobilenet · 1 community build
Most cameras seen
—
no camera counts reported
Price
not tracked
no verified price yet
Max detectors
1
as documented
Median inference by model
Capacity and cameras are estimatesModel · inputMedianCapacityCameras
mobilenet
12 ms
1 community build
83 det/s
19
mobilenet-v2
15 ms
1 docs reference
67 det/s
16
yolov8 · 320
21 ms
1 community build
48 det/s
11
yolo-nas · 320
29.5 ms
1 docs + 1 community (25 and 34 ms)
34 det/s
8
yolo-nas · 256
30 ms
1 community build
33 det/s
8
yolov9-s · 320
30 ms
1 docs reference
33 det/s
8
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
Community builds first, then docs references. db-135: “Problem report (~150 ms, misconfigured); not representative” db-159: “~30 ms light activity; up to 150 ms under motion”