https://github.com/python/cpython/commit/7731da1fe749eafe0d97f80ab0021d6fd1b47c8d
commit: 7731da1fe749eafe0d97f80ab0021d6fd1b47c8d
branch: main
author: Hugo van Kemenade <[email protected]>
committer: hugovk <[email protected]>
date: 2026-09-27T12:01:47+03:00
summary:

gh-133879: Update JIT perf numbers in What's New (#158279)

Co-authored-by: Stan Ulbrych <[email protected]>

files:
M Doc/whatsnew/3.15.rst

diff --git a/Doc/whatsnew/3.15.rst b/Doc/whatsnew/3.15.rst
index aabc936a24af79c..ffd0d64b2297413 100644
--- a/Doc/whatsnew/3.15.rst
+++ b/Doc/whatsnew/3.15.rst
@@ -2030,21 +2030,18 @@ Upgraded experimental JIT compiler
 ----------------------------------
 
 Results from the `pyperformance <https://github.com/python/pyperformance>`__
-benchmark suite report
-`8-9% <https://www.doesjitgobrrr.com/run/2026-04-29>`__
+benchmark suite report a
+`7-8% <https://www.doesjitgobrrr.com/run/2026-09-25>`__
 geometric mean performance improvement for the JIT over the standard CPython
 interpreter built with all optimizations enabled on x86-64 Linux. On AArch64
-macOS, the JIT has a
-`12-13% <https://www.doesjitgobrrr.com/run/2026-04-29>`__
+macOS, the JIT has an
+`11-12% <https://www.doesjitgobrrr.com/run/2026-09-25>`__
 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 15% slowdown to over
 100% speedup (ignoring the ``unpack_sequence`` microbenchmark) on
 x86-64 Linux and AArch64 macOS systems.
 
-.. attention::
-    These results are not yet final.
-
 The major upgrades to the JIT are:
 
 * LLVM 21 build-time dependency

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