]> git.ipfire.org Git - thirdparty/Python/cpython.git/commitdiff
gh-139038: Link to Savannah's webpage for JIT results (#146013)
authorKen Jin <kenjin@python.org>
Mon, 16 Mar 2026 10:10:34 +0000 (18:10 +0800)
committerGitHub <noreply@github.com>
Mon, 16 Mar 2026 10:10:34 +0000 (11:10 +0100)
Doc/whatsnew/3.15.rst

index c286e3fc4f2bda5e5b8b812d1fb3f7b83bc29eb3..d4c4483bc5eb788d71d2533e69ad3a84df89a2d1 100644 (file)
@@ -1286,11 +1286,11 @@ Upgraded JIT compiler
 
 Results from the `pyperformance <https://github.com/python/pyperformance>`__
 benchmark suite report
-`4-5% <https://raw.githubusercontent.com/facebookexperimental/free-threading-benchmarking/refs/heads/main/results/bm-20260110-3.15.0a3%2B-aa8578d-JIT/bm-20260110-vultr-x86_64-python-aa8578dc54df2af9daa3-3.15.0a3%2B-aa8578d-vs-base.svg>`__
+`5-6% <https://doesjitgobrrr.com/run/2026-03-11>`__
 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
-`7-8% <https://raw.githubusercontent.com/facebookexperimental/free-threading-benchmarking/refs/heads/main/results/bm-20260110-3.15.0a3%2B-aa8578d-JIT/bm-20260110-macm4pro-arm64-python-aa8578dc54df2af9daa3-3.15.0a3%2B-aa8578d-vs-base.svg>`__
+`8-9% <https://doesjitgobrrr.com/run/2026-03-11>`__
 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