I recently bought one with 8 GB RAM pictured above. I haven’t got an SSD for it yet so am still pottering about with an SD Card.

I’ve installed VS Code, clang. and Rust along with the VS Code extensions Rust-Analyzer and codelldb.

Out of curiosity I compiled and ran a Rust program that reads in a text file of 1,000 lines of text with each line holding 7 random cards like this: AH 6D 2C 4S JD QH QC.

The idea is to load the file into RAM then process each line and determine the best poker hand.

On my PC 11th Gen Intel(R) Core(TM) i7-11700K @ 3.60GHz (which runs Windows 11), I compared running the Rust program in Windows 11, on Ubuntu 24.04 LTS running in a Hyper-V VM on the same PC and on the Raspberry Pi 5 using it’s own Debian (Bookworm) version.

Here are the times per hand.

• Windows: 175 ns.
• Ubuntu on Hyper-V 125 ns
• Raspberry Pi 5: 175 ns.

You can download the project with the test cards from GitHub. This link is a zip file containing the project file.

To run it in release in VS Code, in the terminal type in

cargo run --release 1000_card_hands.txt

 

 

 

Or you can view the test cards which include the results with commemts in the test file. No need to run it release.

cargo run --features=show_cards test_card_hands.txt

What is so suprising is that the time on Windows and Rapberry Pi 5 are the same. Windows is running a virus checker (Windows Defender) and I guess that might slow it a bit.