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15801580Results from the `pyperformance <https://github.com/python/pyperformance >`__
15811581benchmark suite report
1582- `6-7 % <https ://www.doesjitgobrrr.com/run/2026-04-01 >`__
1582+ `8-9 % <hhttps ://www.doesjitgobrrr.com/run/2026-04-29 >`__
15831583geometric mean performance improvement for the JIT over the standard CPython
15841584interpreter built with all optimizations enabled on x86-64 Linux. On AArch64
15851585macOS, the JIT has a
1586- `12-13% <https://www.doesjitgobrrr.com/run/2026-04-01 >`__
1586+ `12-13% <https://www.doesjitgobrrr.com/run/2026-04-29 >`__
15871587speedup over the :ref: `tail calling interpreter <whatsnew314-tail-call-interpreter >`
15881588with all optimizations enabled. The speedups for JIT
15891589builds versus no JIT builds range from roughly 15% slowdown to over
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