administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-02-04 10:15:22 +03:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

Add nvidia detector inference times from survey

Browse Source
This commit is contained in:
Nicolas Mowen 2023-02-11 15:57:23 -07:00 committed by GitHub
parent 27a31e731f
commit de0acf937c
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 9 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
docs/docs/frigate/hardware.md
View File

@ -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 |
| Qudro P2000 | ~ 15 ms |
## What does Frigate use the CPU for and what does it use a detector for? (ELI5 Version)