Speeded-up robust features (SURF) as a benchmark for heterogeneous computers

Heterogeneous computers performance measurement is not a trivial task. Because of the implicit diversity of the architectures, it is hard to define a clear performance metric. We used SURF as a benchmark for heterogeneous computers. We measure results on multiple computers using OpenCL and CUDA implementations. Results show consistent measurements among platforms, implementations, and dataset size. Finally, we conclude that the relevant factor for this kind of application is the amount of GPU cores.