Not sure if I made it clear but the real time metric is equivalent to time passing in real life, and user time is the total CPU time spent by the application, e.g. 2 seconds of user time across 4 cores might be 0.5 seconds of real time. Parallelization is really good for end users (browsers loading an image, someone saving a file from GIMP, etc), but single-threaded performance can still be very important for enterprise applications where you’re converting a ton of images all the time, and you can just give every conversion its own thread instead. I mainly focused on user time when looking at the difference between JXL and QOI, since that’s more indicative of the total amount of work being done in a CPU-agnostic way.
Ooh, i didn’t take parallelization into consideration, that’s very interesting, thank you
Not sure if I made it clear but the
realtime metric is equivalent to time passing in real life, andusertime is the total CPU time spent by the application, e.g. 2 seconds ofusertime across 4 cores might be 0.5 seconds of real time. Parallelization is really good for end users (browsers loading an image, someone saving a file from GIMP, etc), but single-threaded performance can still be very important for enterprise applications where you’re converting a ton of images all the time, and you can just give every conversion its own thread instead. I mainly focused onusertime when looking at the difference between JXL and QOI, since that’s more indicative of the total amount of work being done in a CPU-agnostic way.