Intel UHD 730 (12th-14th gen iGPU)
AcceleratorOpenVINO (Intel)
9 builds on DetectFPS: 7 Frigate docs references and 2 community builds. All 9 are usable for stats. Hardware id intel-uhd-730.
Median inference
24 ms
all models · 9 usable builds
Fastest model
10 ms
mobilenet-v2 · 1 docs reference
Most cameras seen
1
db-164 · yolov9-s 320
Price
not tracked
no verified price yet
Max detectors
—
no limit recorded
Median inference by model
Capacity and cameras are estimatesModel · inputMedianCapacityCameras
mobilenet-v2
10 ms
1 docs reference
100 det/s
24
yolov9-t · 320
14 ms
1 docs reference
71 det/s
17
yolo-nas · 320
19 ms
1 docs reference
53 det/s
12
yolov9-s · 320
20.75 ms
1 docs + 1 community (17.5 and 24 ms)
48 det/s
11
yolov9-t · 640
34 ms
1 docs reference
29 det/s
7
yolo-nas · 640
54 ms
1 docs reference
19 det/s
4
yolov9-s · 640
57.5 ms
1 docs + 1 community (50 and 65 ms)
17 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
Community builds first, then docs references. db-164: “Detector CPU 50-75%.” db-165: “~50 ms; detector CPU ~100%.”