Results fork: python version: 3.14.0a1+ config: NOGIL commit hash: 85799f1 commit date: 2024-10-28T21:53:18+00:00 commit merge base: 00ea179879726ae221ac7084bdc14752c45ff558 ref: 85799f1ffd5f285ef93a linux x86_64 (vultr) GitHub Action run cpu model: Intel(R) Xeon(R) E-2286G CPU @ 4.00GHz platform: Linux-6.8.0-45-generic-x86_64-with-glibc2.39 raw results vs. 3.12.6 Geometric mean: 1.55x slower (HPT: reliability of 100.00%, 1.39x slower at 99th %ile) Memory usage: 1.21x missing benchmarks: aiohttp, async_tree_cpu_io_mixed, async_tree_cpu_io_mixed_tg, async_tree_io, async_tree_io_tg, async_tree_memoization, async_tree_memoization_tg, async_tree_none, async_tree_none_tg, chameleon, dask, flaskblogging, gunicorn, mypy2, sqlalchemy_declarative, sqlalchemy_imperative 📄table 📈time plot vs. 3.13.0rc2 Geometric mean: 1.57x slower (HPT: reliability of 100.00%, 1.41x slower at 99th %ile) Memory usage: 1.19x missing benchmarks: aiohttp, async_tree_cpu_io_mixed, async_tree_cpu_io_mixed_tg, async_tree_io, async_tree_io_tg, async_tree_memoization, async_tree_memoization_tg, async_tree_none, async_tree_none_tg, chameleon, dask, flaskblogging, gunicorn 📄table 📈time plot vs. base Geometric mean: 1.55x slower (HPT: reliability of 100.00%, 1.42x slower at 99th %ile) Memory usage: 1.18x 🧠memory plot 📄table 📈time plot
