- On an Ubuntu host, the benchmark execution time in Docker was about twice the native time; this difference could be negated by modifying the security settings of the container
- The difference was much smaller when running well-optimised code — rather than code with (unnecessary) for-loops
- On a Windows host, Python code actually ran faster inside Docker, and the container security settings did not appear to affect execution speed as much