How to estimate machine learning training speed on different hardware I need to put together a proposal for buying a better computer for machine learning. Is there any good way to estimate the general training speeds of computer hardware? Basicly, I want to be able to say that if we purchase a certain computer it in trains x times faster than our current computers. Currently I have a i5 63000U 2.4ghz 2 core cpu, with no gpu. I know switching to a computer with a gpu will speed things up greatly. I just need a way to quantify the improvement to justify the investment. Any ideas will be greatly appreciated. Thanks in advance.
Is there any good way to estimate the general training speeds of computer hardware?


Probably not in general, because "training speed" means something completely different if you train  a kNN model (virtually no training) or a complex DL model, what kind of data and what kind of task.

However estimations exist for fixed settings, for instance I found this MLPerf Benhchmark or this paper. 

Btw desktop computers are not ideal for very computer-intensive ML, cluster or cloud computing offer better options.