[Feature] A benchmark for classification on a large dataset

[alessandrofelder]

Is your feature request related to a problem? Please describe.
We currently don't have a good handle on how classification performs on large dataset.

Describe the solution you'd like
Published results of how the classification performs with associated specs.

Describe alternatives you've considered
None so far.

Additional context
A user reports that classifying 20 slices (with LOTS of cell candidates, whole stack of ~4500 slices has ~3.5 Million cell candidates) takes 2-7 hours, and more on Windows 🤔

[alessandrofelder]

How classification scales with number of cell candidates would be particulary interesting to explore in the context of people using cell finder on datasets with millions of cells