EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices

17 May 2019Mario AlmeidaStefanos LaskaridisIlias LeontiadisStylianos I. VenierisNicholas D. Lane

In recent years, advances in deep learning have resulted in unprecedented leaps in diverse tasks spanning from speech and object recognition to context awareness and health monitoring. As a result, an increasing number of AI-enabled applications are being developed targeting ubiquitous and mobile devices... (read more)

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