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gh-139038: Link to Savannah's webpage for JIT results (#146013)
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Doc/whatsnew/3.15.rst

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@@ -1286,11 +1286,11 @@ Upgraded JIT compiler
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Results from the `pyperformance <https://github.com/python/pyperformance>`__
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benchmark suite report
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`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>`__
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`5-6% <https://doesjitgobrrr.com/run/2026-03-11>`__
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geometric mean performance improvement for the JIT over the standard CPython
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interpreter built with all optimizations enabled on x86-64 Linux. On AArch64
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macOS, the JIT has a
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`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>`__
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`8-9% <https://doesjitgobrrr.com/run/2026-03-11>`__
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speedup over the :ref:`tail calling interpreter <whatsnew314-tail-call-interpreter>`
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with all optimizations enabled. The speedups for JIT
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builds versus no JIT builds range from roughly 15% slowdown to over

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