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Nvidia GTX 1080 · yolov9-t 320

Community build
Posted Aug 25, 2025·GitHub #19741 ·db-142
I run this too, add my numbers Opens the submit form prefilled with this hardware, model and version
Inference
28–30 ms
as reported
Est. capacity
~34 det/s
1000 ÷ 29 ms · estimate
Cameras
—
not reported
CPU
—
not reported
Power
—
not reported

Parts

prices show only once verified by hand
Accelerator
Nvidia GTX 1080
ONNX (Nvidia / GPU) · 2 builds on DetectFPS
price not tracked yet
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Host
—
not reported
—
CPU
—
not reported
—
Cameras
—
resolution not reported
—
Tracked totalno verified prices yet

Setup

Detector
ONNX (Nvidia / GPU)
Detector instances
—
Model, as reported
yolov9-t 320
Model family · input
yolov9-t · 320
Camera resolution
—
Cameras
—
Frigate version
—
OS
—

Numbers

dashes mean the source didn't say
Inference
—
Inference range
28–30 ms
Total fps
—
CPU
—
Power
—
Used in stats
Yes

Notes and flags

Stated "28-30+ ms".

Source

Where
Date, as the source wrote it
2025-08-25 (day precision)
Added to DetectFPS
from a public post; numbers copied as written, not re-tested

Similar builds

Same device, then the same model family

Nvidia GTX 1080
ONNX (Nvidia / GPU)
Speed25–26 ms
Cameras—
Modelyolo-nas-s 320
Version—
  • AcceleratorNvidia GTX 1080price not tracked
  • Host—
  • CPU—
Aug 25, 2025GitHub #19741
Intel N97 (iGPU)
OpenVINO (Intel)
Speed18.5 ms
Cameras8
Modelyolov9-t 320
Version0.17
  • AcceleratorIntel N97 (iGPU)price not tracked
  • HostIntel N97 mini PCprice not tracked
  • CPUIntel N97
Mar 19, 2026yanghu.github.io
Nvidia RTX 3060
ONNX (Nvidia / GPU)
Speed10–14 ms
Cameras—
Modelyolov9-t
Version0.16
  • AcceleratorNvidia RTX 3060price not tracked
  • Host—
  • CPU—
Aug 2025GitHub #19741
Rockchip RK3588 NPU
RKNN (Rockchip)
Frigate docs
Speed35 ms
Cameras—
Modelyolov9-tiny
Version—
  • AcceleratorRockchip RK3588 NPUprice not tracked
  • Host—
  • CPU—
checked 2026-10-19Frigate docs

1 other build uses the same device; the rest share the yolov9-t model family.