Nvidia RTX (model not stated)
AcceleratorONNX (Nvidia / GPU)
1 build on DetectFPS: 0 Frigate docs references and 1 community build. All 1 are usable for stats. Hardware id nvidia-rtx-unspecified.
Median inference
19.5 ms
all models · 1 usable build
Fastest model
19.5 ms
unspecified · 1 community build
Most cameras seen
40
db-174 · n/s
Price
not tracked
no verified price yet
Max detectors
—
no limit recorded
Median inference by model
Capacity and cameras are estimatesModel · inputMedianCapacityCameras
unspecified
19.5 ms
1 community build
51 det/s
12
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-174: “ONNX detector on the 0.18.0 -tensorrt image (TensorRT execution provider), 4 instances at 17-22 ms; ~200 aggregate detect fps. Detectors kept up; the thread is a bug report about a frame-copy bottleneck elsewhere in Frigate.”