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Results

  • fork: python
  • version: 3.13.0b2+
  • config: JIT
  • commit hash: a19bb26
  • commit date: 2024-06-15T19:10:50+00:00
  • ref: a19bb261a327e1008f21

linux aarch64 (arminc)

vs. 3.10.4

  • Geometric mean: 1.19x faster (HPT: reliability of 100.00%, 1.07x faster at 99th %ile)
  • Memory usage: 1.24x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative
  • 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: 1.03x slower (HPT: reliability of 99.86%, 1.00x slower at 99th %ile)
  • Memory usage: 1.14x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative
  • new benchmarks: bpe_tokeniser
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.07x slower (HPT: reliability of 100.00%, 1.03x slower at 99th %ile)
  • Memory usage: 1.02x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative
  • new benchmarks: bpe_tokeniser, flaskblogging
  • 📄table
  • 📈time plot

vs. base

linux x86_64 (linux)

vs. 3.10.4

  • Geometric mean: 1.32x faster (HPT: reliability of 100.00%, 1.21x faster at 99th %ile)
  • Memory usage: 1.22x
  • missing benchmarks: 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: 1.05x faster (HPT: reliability of 86.79%, 1.00x faster at 99th %ile)
  • Memory usage: 1.14x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative, unpack_sequence
  • new benchmarks: bpe_tokeniser
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.03x faster (HPT: reliability of 89.59%, 1.00x faster at 99th %ile)
  • Memory usage: 1.07x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative, unpack_sequence
  • new benchmarks: bpe_tokeniser, djangocms, flaskblogging, genshi_text, genshi_xml, html5lib, pylint, thrift
  • 📄table
  • 📈time plot

vs. base

linux x86_64 (pythonperf2)

vs. 3.10.4

  • Geometric mean: 1.25x faster (HPT: reliability of 100.00%, 1.16x faster at 99th %ile)
  • Memory usage: 1.23x
  • missing benchmarks: 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: 1.05x faster (HPT: reliability of 98.94%, 1.00x faster at 99th %ile)
  • Memory usage: 1.14x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative, unpack_sequence
  • new benchmarks: bpe_tokeniser
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.02x slower (HPT: reliability of 68.66%, 1.00x slower at 99th %ile)
  • Memory usage: 1.02x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative, unpack_sequence
  • new benchmarks: bpe_tokeniser, flaskblogging, genshi_text, genshi_xml, html5lib, pylint, thrift
  • 📄table
  • 📈time plot

vs. base

windows amd64 (pythonperf1)

vs. 3.10.4

  • Geometric mean: 1.19x faster (HPT: reliability of 100.00%, 1.13x faster at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: dask, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, unpack_sequence
  • new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg
  • 📄table
  • 📈time plot

vs. 3.11.0

  • Geometric mean: 1.07x faster (HPT: reliability of 100.00%, 1.03x faster at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: dask, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, unpack_sequence
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.05x faster (HPT: reliability of 99.86%, 1.01x faster at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: dask, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, unpack_sequence
  • new benchmarks: flaskblogging, genshi_text, genshi_xml, html5lib, pylint, thrift
  • 📄table
  • 📈time plot

vs. base

  • Geometric mean: 1.03x slower (HPT: reliability of 99.91%, 1.00x slower at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: 🔴 mypy2, sqlglot_normalize
  • 📄table
  • 📈time plot

darwin arm64 (darwin)

vs. 3.10.4

  • Geometric mean: 1.23x faster (HPT: reliability of 100.00%, 1.17x faster at 99th %ile)
  • Memory usage: 1.45x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, unpack_sequence
  • new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_eager, async_tree_eager_cpu_io_mixed, async_tree_eager_cpu_io_mixed_tg, async_tree_eager_io, async_tree_eager_io_tg, async_tree_eager_memoization, async_tree_eager_memoization_tg, async_tree_eager_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, bpe_tokeniser
  • 📄table
  • 📈time plot

vs. 3.11.0

  • Geometric mean: 1.01x faster (HPT: reliability of 50.41%, 1.00x slower at 99th %ile)
  • Memory usage: 1.34x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, unpack_sequence
  • new benchmarks: async_tree_eager, async_tree_eager_cpu_io_mixed, async_tree_eager_cpu_io_mixed_tg, async_tree_eager_io, async_tree_eager_io_tg, async_tree_eager_memoization, async_tree_eager_memoization_tg, async_tree_eager_tg, bpe_tokeniser
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.05x faster (HPT: reliability of 100.00%, 1.02x faster at 99th %ile)
  • Memory usage: 1.30x
  • missing benchmarks: sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, unpack_sequence
  • new benchmarks: async_tree_eager, async_tree_eager_cpu_io_mixed, async_tree_eager_cpu_io_mixed_tg, async_tree_eager_io, async_tree_eager_io_tg, async_tree_eager_memoization, async_tree_eager_memoization_tg, async_tree_eager_tg, bpe_tokeniser, flaskblogging, genshi_text, genshi_xml, html5lib, pylint, thrift
  • 📄table
  • 📈time plot

vs. base

  • Geometric mean: 1.03x slower (HPT: reliability of 100.00%, 1.00x slower at 99th %ile)
  • Memory usage: 1.21x
  • missing benchmarks: 🔴 sqlglot_normalize
  • 🧠memory plot
  • 📄table
  • 📈time plot