DetectFPS
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Nvidia RTX 5060 Ti

AcceleratorONNX (Nvidia / GPU)

4 builds on DetectFPS: 4 Frigate docs references and 0 community builds. All 4 are usable for stats. Hardware id nvidia-rtx-5060-ti.

Estimate capacityCompare Submit a build with this device
Median inference
6 ms
all models · 4 usable builds
Fastest model
4 ms
rf-detr-nano · 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 estimates
Model · inputMedianCapacityCameras
rf-detr-nano · 320
4 ms
1 docs reference
250 det/s
60
yolov9-t · 320
5 ms
1 docs reference
200 det/s
48
yolov9-s · 320
7 ms
1 docs reference
143 det/s
34
yolov9-s · 640
22 ms
1 docs reference
45 det/s
10

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
db-076 Frigate docs rf-detr nano 320 4 ms — — checked 2026-10-19
db-073 Frigate docs yolov9-t 320 5 ms — — checked 2026-10-19
db-074 Frigate docs yolov9-s 320 7 ms — — checked 2026-10-19
db-075 Frigate docs yolov9-s 640 22 ms — — checked 2026-10-19

Community builds first, then docs references.