Early Benchmarking Results for Neuromorphic Computing

This document summarizes early benchmarking results for neuromorphic computing using Intel's Loihi chip. It finds that Loihi provides orders of magnitude gains over CPUs and GPUs for certain workloads that are directly trained on the chip or use novel bio-inspired algorithms. These include online learning, adaptive control, event-based vision and tactile sensing, constraint satisfaction problems, and nearest neighbor search. Larger networks and problems tend to provide greater performance gains with Loihi.