There are lots of discussions about relatedness of these numbers for a regular software engineer.

Firstly, I want to start with the fact that the base system is a macOS/M4Pro, hence;

- Memory related access is possibly much faster than a x86 server. - Disk access is possibly much slower than a x86 server.

*) I took x86 server as the basis as most of the applications run on x86 Linux boxes nowadays, although a good amount of fingerprint is also on other ARM CPUs.

Although it probably does not change the memory footprint much, the libraries loaded and their architecture (ie. being Rosetta or not) will change the overall footprint of the process.

As it was mentioned on one of the sibling comments -> Always inspect/trace your own workflow/performance before making assumptions. It all depends on specific use-cases for higher-level performance optimizations.