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Add to hardware docs

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Nicolas Mowen 2025-08-18 07:54:18 -06:00
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docs/docs/frigate/hardware.md
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@ -64,6 +64,13 @@ Frigate supports multiple different detectors that work on different types of ha
- [Supports limited model architectures](../../configuration/object_detectors#supported-models-1)
- Runs best on discrete AMD GPUs
**Apple Silicon**
- [Apple Silicon](#apple-silicon): Apple Silicon is usable on all M1 and newer Apple Silicon devices to provide efficient and fast object detection
- [Supports primarily ssdlite and mobilenet model architectures](../../configuration/object_detectors#supported-models)
- Runs well with any size models including large
- Runs via ZMQ proxy which adds some latency, only recommended for local connection
**Intel**
- [OpenVino](#openvino---intel): OpenVino can run on Intel Arc GPUs, Intel integrated GPUs, and Intel CPUs to provide efficient object detection.
@ -173,14 +180,27 @@ Inference speeds will vary greatly depending on the GPU and the model used.
| RTX A4000 | | 320: ~ 15 ms | |
| Tesla P40 | | 320: ~ 105 ms | |
### Apple Silicon
With the [Apple Silicon](../configuration/object_detectors.md#apple-silicon-detector) detector Frigate can take advantage of the NPU in M1 and newer Apple Silicon.
:::warning
Apple Silicon can not run within a container, so a ZMQ proxy is utilized to communicate with [the Apple Silicon Frigate detector](https://github.com/frigate-nvr/apple-silicon-detector) which runs on the host. This should add minimal latency when run on the same device.
:::
| Name | YOLOv9 Inference Time |
| --------- | ---------------------- |
| M3 Pro | t-320: 6 ms s-320: 8ms |
### ROCm - AMD GPU
With the [rocm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs.
With the [ROCm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs.
| Name | YOLOv9 Inference Time | YOLO-NAS Inference Time |
| --------- | --------------------- | ------------------------- |
| AMD 780M | ~ 14 ms | 320: ~ 25 ms 640: ~ 50 ms |
| AMD 8700G | | 320: ~ 20 ms 640: ~ 40 ms |
## Community Supported Detectors