Intel Iris Xe (iGPU)
AcceleratorOpenVINO (Intel)
8 builds on DetectFPS: 8 Frigate docs references and 0 community builds. All 8 are usable for stats. Hardware id intel-iris-xe.
Median inference
12 ms
all models · 8 usable builds
Fastest model
6 ms
yolov9-t · 320 · 1 docs reference
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
yolov9-t · 320
6 ms
1 docs reference
167 det/s
39
yolov9-s · 320
8 ms
1 docs reference
125 det/s
30
mobilenet-v2
10 ms
1 docs reference
100 det/s
24
yolo-nas · 320
10 ms
1 docs reference
100 det/s
24
yolov9-t · 640
14 ms
1 docs reference
71 det/s
17
yolov9-s · 640
16 ms
1 docs reference
63 det/s
15
yolo-nas · 640
20 ms
1 docs reference
50 det/s
12
rf-detr-nano · 320
33 ms
1 docs reference
30 det/s
7
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.