How to estimate machine learning training speed on different hardware

Question

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.

Answer 1

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.