What does images per second mean when benchmarking Deep Learning GPU?
I'm wondering if a given number of images per second, say 15000, means that 15000 images can be processed by iteration or for fully learning the network with that amount of images?.


Typically they specify somewhere whether they talk about the forward (a.k.a. inference a.k.a. test) time, e.g. from the page you mentioned in your question:



Another example from https://github.com/soumith/convnet-benchmarks (mirror):