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gh-139038: Add macOS performance numbers for the JIT (GH-143479)

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Ken Jin 2026-01-06 23:19:35 +08:00 • committed by GitHub
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@ -891,7 +891,11 @@ Results from the `pyperformance <https://github.com/python/pyperformance>`__
benchmark suite report
`3-4% <https://github.com/facebookexperimental/free-threading-benchmarking/blob/main/results/bm-20251214-3.15.0a2%2B-6cddf04-JIT/bm-20251214-vultr-x86_64-python-6cddf04344a1e8ca9df5-3.15.0a2%2B-6cddf04-vs-base.svg>`__
geometric mean performance improvement for the JIT over the standard CPython
interpreter built with all optimizations enabled. The speedups for JIT
interpreter built with all optimizations enabled on x86-64 Linux. On AArch64
macOS, the JIT has a
`7-8% <https://raw.githubusercontent.com/facebookexperimental/free-threading-benchmarking/refs/heads/main/results/bm-20260103-3.15.0a3%2B-9609574-JIT/bm-20260103-macm4pro-arm64-python-9609574e7fd36edfaa8b-3.15.0a3%2B-9609574-vs-base.svg>`__
speedup over the :ref:`tail calling interpreter <whatsnew314-tail-call-interpreter>`
with all optimizations enabled. The speedups for JIT
builds versus no JIT builds range from roughly 20% slowdown to over
100% speedup (ignoring the ``unpack_sequence`` microbenchmark) on
x86-64 Linux and AArch64 macOS systems.