If you're interested in the performance state-of-the-art for optimization solvers, the reference is Hans Mittelmann's regularly updated benchmarks [1]. They sometimes get criticized by solver makers (because one could easily game the benchmarks), but:

1. At least they exist! They give a good rough idea of the relative performance of the various solvers. Also, I think it provides a sense of competition that is great for innovation. Some of the newcomers push press releases about having "won a prize" when they leapfrog the competition in one of the (sometimes weekly) benchmarks.

2. For the MIP benchmarks [2], a lot of thought has gone into doing them properly [3].

Don't be scared by the "End of a benchmarking era" banner. In 2018, Gurobi cherry-picked numbers that made them look good in some promotional material, while suggesting endorsement by Hans Mittelmann. There was a whole fuss about it and they had to publicly apologize [4]. This was a very dumb move since they were the fastest solver anyways, just not by as much as they claimed. CPLEX and Xpress took this as an excuse to take their toys and go home (they have since refused to participate in benchmarking). Gurobi was banned from the benchmarks for a while, but now they're back.

[1] http://plato.asu.edu/bench.html

[2] http://plato.asu.edu/ftp/milp.html

[3] https://link.springer.com/article/10.1007/s12532-020-00194-3

[4] https://web.archive.org/web/20181224083542/http://www.gurobi...