Intel N150 (iGPU)
AcceleratorOpenVINO (Intel)
5 builds on DetectFPS: 3 Frigate docs references and 2 community builds. All 5 are usable for stats. Hardware id intel-n150.
Median inference
16 ms
all models · 5 usable builds
Fastest model
13 ms
mobilenet-v2 · 300 · 1 community build
Most cameras seen
—
no camera counts reported
Price
not tracked
no verified price yet
Max detectors
—
no limit recorded
Median inference by model
Capacity and cameras are estimatesModel · inputMedianCapacityCameras
mobilenet-v2 · 300
13 ms
1 community build
77 det/s
18
mobilenet-v2
15 ms
1 docs reference
67 det/s
16
yolov9-t · 320
16 ms
1 docs reference
63 det/s
15
yolov9-s · 320
24 ms
1 docs reference
42 det/s
9
yolo-nas · 320
27.5 ms
1 community build
36 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-149: “~13 ms, CPU 20-25%” db-134: “Multiple GPU detectors (count not stated); ms is per detector.”