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Add nvidia detector inference times from survey (#5456)

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* Add nvidia detector inference times from survey

* Fix typo

* Update hardware.md
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Nicolas Mowen 2023-02-11 18:59:36 -07:00 committed by GitHub
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docs/docs/frigate/hardware.md
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@ -80,10 +80,15 @@ The TensortRT detector is able to run on x86 hosts that have an Nvidia GPU which
Inference speeds will vary greatly depending on the GPU and the model used.
`tiny` variants are faster than the equivalent non-tiny model, some known examples are below:
| Name | Model | Inference Speed |
| -------- | --------------- | --------------- |
| RTX 3050 | yolov4-tiny-416 | ~ 5 ms |
| RTX 3050 | yolov7-tiny-416 | ~ 6 ms |
| Name | Inference Speed |
| --------------- | ----------------- |
| GTX 1060 6GB | ~ 7 ms |
| GTX 1070 | ~ 6 ms |
| GTX 1660 SUPER | ~ 4 ms |
| RTX 3050 | 5 - 7 ms |
| RTX 3070 Mobile | ~ 5 ms |
| Quadro P400 2GB | 20 - 25 ms |
| Quadro P2000 | ~ 12 ms |
## What does Frigate use the CPU for and what does it use a detector for? (ELI5 Version)