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In the yjit-bench suite, there are a number of micro benchmarks that had a 2-3x gain between 3.2 and 3.3: https://speed.yjit.org/stats-timeline.html

But my point is that the YJIT team never really communicate numbers from synthetic benchmarks, it's very focused on real world workloads.

Synthetic benchmarks are used internally, but mostly to optimize a specific pattern that was identified as a common hotspot.

All this to say this figure you quote is not to be directly compared to many similar announcements from other projects or benchmark suites.

Now if you still think it's not good enough, I encourage you to try your hand at it to see how much of an accomplishment that really is.



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