Before revision:  We present a novel evaluation framework for measuring energy and performance for deep neural networks using ARMs Streamline Performance Analyser integrated with standard deep learning frameworks such as Caffe and CuDNNv5 . We apply the framework to study the execution behaviour of SqueezeNet on the Maxwell GPU of the NVidia Jetson TX1 , on an image classification task (also known as inference) and demonstrate the ability to measure energy of specific layers of the neural network .
After revision:  We present a novel evaluation framework for measuring energy and performance for deep neural networks using ARMs Streamline Performance Analyser integrated with standard deep learning frameworks such as Caffe and CuDNNv5 , to study the execution behaviour of SqueezeNet on the Maxwell GPU of the NVidia Jetson TX1 , on an image classification task (also known as inference) and demonstrate the ability to measure energy of specific layers of the neural network .