You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: We fist compare MXNet with Torch7, Caffe, and TensorFlow on the popular“convnet-benchmarks” [2]. All these systems are compiled with CUDA 7.5 andCUDNN 3 except for TensorFlow, which only supports CUDA 7.0 and CUDNN 2. We usebatch size 32 for all networks and run the experiments on a single Nvidia GTX980 card. Results are shown in Figure 7. As expected thatMXNet has similar performance comparing to Torch7 and Caffe, because mostcomputations are spent on the CUDA/CUDNN kernels. TensorFlow is always 2xslower, which might be due its use of a lower CUDNN version.

Question: Does the paper report empirical benchmarks for performance on non-GPU devices (eg. edge devices such as mobile phones)?
While the paper reports the experimental result on GPU device (Nvidia GTX980 card), the result on non-GPU devices is not included in the paper.