https://github.com/python/cpython/commit/d9c1235db44100b16355a347ca9e304df48411a7 commit: d9c1235db44100b16355a347ca9e304df48411a7 branch: main author: Ken Jin <[email protected]> committer: Fidget-Spinner <[email protected]> date: 2026-01-06T15:19:35Z summary:
gh-139038: Add macOS performance numbers for the JIT (GH-143479) files: M Doc/whatsnew/3.15.rst diff --git a/Doc/whatsnew/3.15.rst b/Doc/whatsnew/3.15.rst index 17415f888b65a2..6cb96c074c78f3 100644 --- a/Doc/whatsnew/3.15.rst +++ b/Doc/whatsnew/3.15.rst @@ -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. _______________________________________________ Python-checkins mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3//lists/python-checkins.python.org Member address: [email protected]
