It is much faster for CPU-bound work. In my experience, 2x-5x is the most common range I get. There are many reasons besides just memory allocation and LLVM that Rust code ends up faster.

Let me just focus on one very commonly used data structure: hash maps. Rust hash maps:

* Use SwissTable because they didn't make a short-sighted promise about delete-while-iterating behavior that makes Go incompatible with SwissTable's tombstone design and makes Go never shrink maps once created.

* Let you customize the hash function to whatever performs best for your key type & target hardware.

* Let you find & insert/update in one hash table lookup, where Go always requires at least two, and its compiler doesn't optimize even the most common idioms.

* Let you reference a key/value in-place instead of having to copy it out each time. Go won't allow this because the reference may become stale, but Rust can enforce this with lifetimes.

* Let you clone a map without rehashing every key to a new seed. I generally measure at least 15x speedup from this alone, unlocking very useful design patterns like "clone a map and apply a few temporary updates for a one-off operation like validation or simulation" with no extra code complexity. Go gives you no better option than slowly rehashing the entire map.

And that's just hash maps. How about Go's regex engine being one of the slowest in the world while Rust's regex crate being one of the fastest:

https://github.com/mariomka/regex-benchmark#optimized

https://github.com/BurntSushi/rebar#summary-of-search-time-b...

Further, Go refusing to have macros means that many libraries use reflection instead, which often makes those parts of the Go program perform no better than Python and in some cases worse. Rust can just generate all of that at compile time with macros, and optimize them with LLVM like any other code. Some Go libraries go to enormous lengths to reduce reflection overhead, but that's hard to justify for most things, and hard to maintain even once done. The legendary https://github.com/segmentio/encoding seems to be abandoned now and progress on Go JSON in general seems to have died with https://github.com/go-json-experiment/json . Remember that next time someone parrots the myth that Go is ideal for HTTP JSON APIs.

Many people claiming their projects are IO-bound are just assuming that's the case because most of the time is spent in their input reader. If they actually measured they'd see it's not even saturating a 100Mbps link, let alone 1-100Gbps, so by definition it is not IO-bound. Even if they didn't need more throughput than that, they still could have put those cycles to better use or at worst saved energy. Isn't that what people like to say about Go vs Python, that Go saves energy? Sure, but it still burns a lot more energy than it would if it had macros. Maybe someone's recipe website doesn't care but world-scale datacenter applications do.

Rust can use state-of-the-art memory allocators like mimalloc, while Go is still stuck on an old fork of tcmalloc, and not just tcmalloc in its original C, but transpiled to Go so it optimizes much less than LLVM would optimize it. (Many people benchmarking them forget to even try substitute allocators in Rust, so they're actually underestimating just how much faster Rust is)

Oh yeah, aside, tcmalloc was designed for C++ code with lots of temporary allocations that are allocated & freed by the same thread so they're very cheap when cached per thread/core. Go almost always frees things on a separate GC thread, completely undermining this design goal. So tcmalloc isn't even a good fit for Go, yet there's no other choice available. People don't even discuss it any more because what is there to discuss, Go and all of its users are just stuck with it.

Finally, even Go Generics have failed to improve performance, and in many cases can make it unimaginably worse through -- I kid you not -- global lock contention hidden behind innocent type assertion syntax: https://planetscale.com/blog/generics-can-make-your-go-code-...

It's not even close. There are many reasons Go is a lot slower than Rust and many of them are likely to remain forever. Most of them have not seen meaningful progress in a decade or more, and I'm not holding my breath for the next decade either.