bm-20240608-3.13.0b2+-c15f94d-NOGIL

Results

• fork: python
• version: 3.13.0b2+
• config: NOGIL
• commit hash: c15f94d
• commit date: 2024-06-08T17:48:47+00:00
• ref: c15f94d6fbc960790db3

linux x86_64 (linux)

• GitHub Action run
• cpu model: Intel(R) Xeon(R) W-2255 CPU @ 3.70GHz
• platform: Linux-5.4.0-164-generic-x86_64-with-glibc2.31
• raw results

vs. 3.10.4

• Geometric mean: 1.11x slower (HPT: reliability of 99.99%, 1.03x slower at 99th %ile)
• Memory usage: 1.27x
• missing benchmarks: dask, djangocms, sqlalchemy_declarative, sqlalchemy_imperative, unpack_sequence
• new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, bpe_tokeniser
• 📄table
• 📈time plot

vs. 3.11.0

• Geometric mean: 1.37x slower (HPT: reliability of 100.00%, 1.25x slower at 99th %ile)
• Memory usage: 1.19x
• missing benchmarks: dask, djangocms, sqlalchemy_declarative, sqlalchemy_imperative, unpack_sequence
• new benchmarks: bpe_tokeniser
• 📄table
• 📈time plot

vs. 3.12.0

• Geometric mean: 1.37x slower (HPT: reliability of 100.00%, 1.23x slower at 99th %ile)
• Memory usage: 1.12x
• missing benchmarks: dask, sqlalchemy_declarative, sqlalchemy_imperative, unpack_sequence
• new benchmarks: bpe_tokeniser, flaskblogging, genshi_text, genshi_xml, html5lib, pylint, thrift
• 📄table
• 📈time plot

vs. base

• Geometric mean: 1.45x slower (HPT: reliability of 100.00%, 1.29x slower at 99th %ile)
• Memory usage: 1.14x
• missing benchmarks: 🔴 dask, djangocms
• new benchmarks: bpe_tokeniser
• 🧠memory plot
• 📄table
• 📈time plot