MLPerf Automotive

arXiv:2510.27065 · cs.LG, cs.PF · Submitted 2025-10-31 · Read on arXiv

cs.LG, cs.PF

Submitted: 2025-10-31

Updated: 2026-09-23

Code: https://github.com/mlcommons/mlperf_automotive

Terminology

• Benchmark — 109× in this paper · explained in 2 episodes
• Accuracy — 35× in this paper · explained in 1 episode
• Benchmarking — 11× in this paper · explained in 3 episodes
• Quantization — 8× in this paper · explained in 12 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Advanced Driver Assistance Systems — 2× in this paper
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Point Clouds — 2× in this paper · explained in 2 episodes
• Predictive Maintenance — 2× in this paper · explained in 2 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Quantization-Aware Training — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Single Shot MultiBox Detector — 1× in this paper
• Standardized Benchmarks — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• MLPerf Tiny Benchmark
• A Survey on Vision-Language-Action Models for Autonomous Driving
• Quantizing deep convolutional networks for efficient inference: A whitepaper
• 3D Vision with Transformers: A Survey
• BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
• HRDNet: High-resolution Detection Network for Small Objects
• Deformable DETR: Deformable Transformers for End-to-End Object Detection

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