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Add reference model details (#2084)
* Add reference model details
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docs/index.md

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@@ -170,6 +170,23 @@ The currently valid [MLPerf Inference Benchmarks](index_gh.md) as of MLPerf infe
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- **Submission Category**: Datacenter
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## Automotive
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### 3D Object Detection
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#### [PointPainting](benchmarks/automotive/3d_object_detection/pointpainting.md)
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- **Dataset**: Waymo
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- **Dataset Size**: 39,986
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- **QSL Size**: 1,024
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- **Number of Parameters**:
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- **FLOPs**:
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- **Reference Model Accuracy (fp32)**: mAP: 54.25%
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- **Required Accuracy (Closed Division)**:
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- mAP: 54.25%
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- **Equal Issue mode**: False
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- **High accuracy variant**: Yes
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- **Submission Category**: Edge
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---
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## Submission Categories
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- **Datacenter Category**: All benchmarks except bert are applicable to the datacenter category for inference v5.0.
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- **Edge Category**: All benchmarks except DLRMv2, LLAMA2-70B, Mixtral-8x7B and R-GAT are applicable to the edge category for v5.0.

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