Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones

arXiv:2603.26551v2 Announce Type: replace-cross Abstract: Vision backbone networks play a central role in modern computer vision. Enhancing their efficiency directly benefits a wide range of downstream applications. To measure efficiency, many publications rely on MACs (Multiply Accumulate operations) as a predictor of execution time. In this paper, we experimentally demonstrate the shortcomings of such a metric, especially in the context of edge devices. By contrasting the MAC count and execution time of common architectural design elements, we identify key factors for efficient execution and

Source: arXiv cs.AI — read the full report at the original publisher.

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