Runtime Benchmarks (Energy, Time, Memory)?

Can anybody point me to good resources that shows or discusses the runtime performance of various machine learning algorithms? I always see problem performance benchmarks like "test error" but usually not much on the computational efficiency. Would of course need to know the hardware used and the programming language as well to make real comparisons. Any info or thoughts would be appreciated, including personal experience.