https://github.com/mlcommons/mlperf_automotive
https://github.com/mlcommons/mlperf_automotive
Last synced: 9 months ago
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- Host: GitHub
- URL: https://github.com/mlcommons/mlperf_automotive
- Owner: mlcommons
- License: apache-2.0
- Created: 2025-04-04T17:48:18.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2025-06-03T23:01:25.000Z (about 1 year ago)
- Last Synced: 2025-06-04T01:08:41.217Z (about 1 year ago)
- Language: Python
- Homepage: https://mlcommons.org/working-groups/benchmarks/automotive/
- Size: 474 MB
- Stars: 2
- Watchers: 1
- Forks: 3
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Codeowners: .github/CODEOWNERS
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README
# MLPerf® Automotive Benchmark Suite
MLPerf Automotive is a benchmark suite for measuring how fast automotive systems can run models in a variety of deployment scenarios.
## MLPerf Automotive v0.5
Use the r0.5 branch (```git checkout v0.5abtf```) if you want to reproduce v0.5 results.
See the individual Readme files in the reference app for details.
| model | reference app | framework | dataset |
| ---- | ---- | ---- | ---- |
| ssd-resnet50| [v0.5/2D object detection](https://github.com/mlcommons/mlperf_automotive/tree/master/automotive/2d-object-detection) | pytorch, onnx | Cognata |
| bevformer-tiny | [v0.5/camera-based 3D object detection](https://github.com/mlcommons/mlperf_automotive/tree/master/automotive/camera-3d-detection) | onnx | NuScenes |
| DeepLabV3+ | [v0.5/semantic segmentation](https://github.com/mlcommons/mlperf_automotive/tree/master/automotive/semantic-segmentation) |pytorch, onnx | Cognata |