But also, as far as this article, it's noting a noting a more specific use case that is fairly 'real world'; Reading a file (I/O), doing some form of deserialization (likely with a library unless format is proprietary) and whatever 'generating a map' means.
Again, this all feels pretty realistic for a use case so it's good food for thought.
> Can someone explain what benchmarks were actually used?
This honestly would be useful in the article itself, as well as, per above, some 'deep dives' into where the performance issues were. Was it in file I/O (possibly Interop related?) Was it due to some pattern in the serialization library? Was it the object allocation pattern (When I think of C# code friendly for Mono I think of Cysharp libraries which sometimes do curious things)? Not diving deeper into the profiling doesn't help anyone know where the focus needs to be (unless it's a more general thing, in which case I'd hope for a better deep dive on that aspect.)
Edited to add:
Reading your article again, I wonder whether your compiler is just not doing the right things to take advantage of the performance boosts available via CoreCLR?
E.x. can you do things like stackalloc temp buffers to avoid allocation, and does the stdlib do those things where it is advantageous?
Also, I know I vaguely hit on this above, but also wondering whether the IL being done is just 'not hitting the pattern'. where a lot of CoreCLR will do it's best magic if things are arranged a specific way in IL based on how Roslyn outputs, but even for the 'expected' C# case, deviations can lead to breaking the opt.
> E.x. can you do things like stackalloc temp buffers to avoid allocation, and does the stdlib do those things where it is advantageous?
The C# standard lib (often called the base class library or BCL) has seen a ton of Span<T>/Memory<T>/stackalloc internal usage adoption in .NET 6+, with each release adding more of them. Things like File IO and serialization/deserialization particularly see a lot of notable performance improvements just from upgrading each .NET version. .NET10 is faster than .NET9 with a lot of the same code, and so forth.
Mono still benefits from some of these BCL improvements (as more of the BCL is shared than not these days, and Blazor WASM for the moment is still more Mono than CoreCLR so some investment has continued), but not all of them and not always in the same ways.
I worded my reply poorly, mostly in that I meant 'If Oberon has it's own stdlib, is it doing the modern performant practice' ?
I don't beleive such a large regression from .NET framework to CoreCLR.
In contrast, the posted article uses a very specific, non-standard, and "apple-to-oranges" benchmark. It is essentially comparing a complete game engine initialization against a minimal console app (as far as I understand), which explains the massive 3x-15x differences reported. The author is actually measuring "Unity Engine Overhead + Mono vs. Raw .NET", not actually "Mono vs. .NET" as advertized. The "15x" figure comes very likely from the specific microbenchmark (struct heavy loop) where Mono's optimizer fails, extrapolated to imply the whole runtime is that much slower.
.NET has heavily invested in performance. If I understand your article correctly, you tested .NET 5 which will be much slower at this point than .NET 10 is.
I also think it matters what you mean by “Mono”. Mono, the original stand-alone project has not seen meaningful updates in many years. Mono is also one of the two runtimes in the currently shipping .NET though and I suspect this runtime has received a lot of love that may not have flowed back to the original Mono project.