| | --- |
| | comments: true |
| | description: Benchmark mode compares speed and accuracy of various YOLOv8 export formats like ONNX or OpenVINO. Optimize formats for speed or accuracy. |
| | keywords: YOLOv8, Benchmark Mode, Export Formats, ONNX, OpenVINO, TensorRT, Ultralytics Docs |
| | --- |
| | |
| | <img width="1024" src="https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png"> |
| |
|
| | **Benchmark mode** is used to profile the speed and accuracy of various export formats for YOLOv8. The benchmarks |
| | provide information on the size of the exported format, its `mAP50-95` metrics (for object detection, segmentation and pose) |
| | or `accuracy_top5` metrics (for classification), and the inference time in milliseconds per image across various export |
| | formats like ONNX, OpenVINO, TensorRT and others. This information can help users choose the optimal export format for |
| | their specific use case based on their requirements for speed and accuracy. |
| |
|
| | !!! tip "Tip" |
| |
|
| | * Export to ONNX or OpenVINO for up to 3x CPU speedup. |
| | * Export to TensorRT for up to 5x GPU speedup. |
| |
|
| | ## Usage Examples |
| |
|
| | Run YOLOv8n benchmarks on all supported export formats including ONNX, TensorRT etc. See Arguments section below for a |
| | full list of export arguments. |
| |
|
| | !!! example "" |
| |
|
| | === "Python" |
| | |
| | ```python |
| | from ultralytics.yolo.utils.benchmarks import benchmark |
| | |
| | # Benchmark on GPU |
| | benchmark(model='yolov8n.pt', imgsz=640, half=False, device=0) |
| | ``` |
| | === "CLI" |
| | |
| | ```bash |
| | yolo benchmark model=yolov8n.pt imgsz=640 half=False device=0 |
| | ``` |
| | |
| | ## Arguments |
| |
|
| | Arguments such as `model`, `imgsz`, `half`, `device`, and `hard_fail` provide users with the flexibility to fine-tune |
| | the benchmarks to their specific needs and compare the performance of different export formats with ease. |
| |
|
| | | Key | Value | Description | |
| | |-------------|---------|----------------------------------------------------------------------| |
| | | `model` | `None` | path to model file, i.e. yolov8n.pt, yolov8n.yaml | |
| | | `imgsz` | `640` | image size as scalar or (h, w) list, i.e. (640, 480) | |
| | | `half` | `False` | FP16 quantization | |
| | | `int8` | `False` | INT8 quantization | |
| | | `device` | `None` | device to run on, i.e. cuda device=0 or device=0,1,2,3 or device=cpu | |
| | | `hard_fail` | `False` | do not continue on error (bool), or val floor threshold (float) | |
| |
|
| | ## Export Formats |
| |
|
| | Benchmarks will attempt to run automatically on all possible export formats below. |
| |
|
| | | Format | `format` Argument | Model | Metadata | |
| | |--------------------------------------------------------------------|-------------------|---------------------------|----------| |
| | | [PyTorch](https://pytorch.org/) | - | `yolov8n.pt` | ✅ | |
| | | [TorchScript](https://pytorch.org/docs/stable/jit.html) | `torchscript` | `yolov8n.torchscript` | ✅ | |
| | | [ONNX](https://onnx.ai/) | `onnx` | `yolov8n.onnx` | ✅ | |
| | | [OpenVINO](https://docs.openvino.ai/latest/index.html) | `openvino` | `yolov8n_openvino_model/` | ✅ | |
| | | [TensorRT](https://developer.nvidia.com/tensorrt) | `engine` | `yolov8n.engine` | ✅ | |
| | | [CoreML](https://github.com/apple/coremltools) | `coreml` | `yolov8n.mlmodel` | ✅ | |
| | | [TF SavedModel](https://www.tensorflow.org/guide/saved_model) | `saved_model` | `yolov8n_saved_model/` | ✅ | |
| | | [TF GraphDef](https://www.tensorflow.org/api_docs/python/tf/Graph) | `pb` | `yolov8n.pb` | ❌ | |
| | | [TF Lite](https://www.tensorflow.org/lite) | `tflite` | `yolov8n.tflite` | ✅ | |
| | | [TF Edge TPU](https://coral.ai/docs/edgetpu/models-intro/) | `edgetpu` | `yolov8n_edgetpu.tflite` | ✅ | |
| | | [TF.js](https://www.tensorflow.org/js) | `tfjs` | `yolov8n_web_model/` | ✅ | |
| | | [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n_paddle_model/` | ✅ | |
| |
|
| | See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page. |
