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arXiv · 2207.06150

Estimating the Power Consumption of Heterogeneous Devices when performing AI Inference

Pedro Machado·Ivica Matic·Francisco de Lemos·Isibor Kennedy Ihianle·David Ada Adama
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Abstract

Modern-day life is driven by electronic devices connected to the internet. The emerging research field of the Internet-of-Things (IoT) has become popular, just as there has been a steady increase in the number of connected devices. Since many of these devices are utilised to perform CV tasks, it is essential to understand their power consumption against performance. We report the power consumption profile and analysis of the NVIDIA Jetson Nano board while performing object classification. The authors present an extensive analysis regarding power consumption per frame and the output in frames per second using YOLOv5 models. The results show that the YOLOv5n outperforms other YOLOV5 variants in terms of throughput (i.e. 12.34 fps) and low power consumption (i.e. 0.154 mWh/frame).

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Pedro Machado, Ivica Matic, Francisco de Lemos, Isibor Kennedy Ihianle, David Ada Adama. 2022-07-13. Estimating the Power Consumption of Heterogeneous Devices when performing AI Inference. https://arxiv.org/abs/2207.06150

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