Today very few deep learning-based mobile augmented reality (MAR) applications are applied in devices because they significantly energy-guzzling. In this paper, we design an edge-based energy-aware MAR system that enables to dynamically change their configurations, such as CPU frequency, computation model size, and image offloading frequency based on user preferences, camera sampling rates, ava...