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Results

linux aarch64 (arminc)

vs. 3.10.4

  • Geometric mean: 1.10x faster (HPT: reliability of 99.98%, 1.03x faster at 99th %ile)
  • Memory usage: 1.36x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpickle, unpickle_list
  • new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, bpe_tokeniser, sphinx
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.17x slower (HPT: reliability of 100.00%, 1.04x slower at 99th %ile)
  • Memory usage: 1.11x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpickle, unpickle_list
  • new benchmarks: bpe_tokeniser, sphinx
  • 📄table
  • 📈time plot

vs. 3.13.0

  • Geometric mean: 1.18x slower (HPT: reliability of 100.00%, 1.04x slower at 99th %ile)
  • Memory usage: 1.20x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: dulwich_log, sphinx, sqlalchemy_declarative, sqlalchemy_imperative
  • 📄table
  • 📈time plot

vs. base

linux x86_64 (azure)

vs. base

linux x86_64 (linux)

vs. 3.10.4

  • Geometric mean: 1.34x faster (HPT: reliability of 100.00%, 1.23x faster at 99th %ile)
  • Memory usage: 1.33x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, djangocms, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, bpe_tokeniser, sphinx
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.02x faster (HPT: reliability of 99.42%, 1.00x faster at 99th %ile)
  • Memory usage: 1.14x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: bpe_tokeniser, genshi_text, genshi_xml, html5lib, pylint, sphinx, thrift
  • 📄table
  • 📈time plot

vs. 3.13.0

  • Geometric mean: 1.05x slower (HPT: reliability of 99.24%, 1.00x slower at 99th %ile)
  • Memory usage: 1.18x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, djangocms, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: sphinx, sqlalchemy_declarative, sqlalchemy_imperative
  • 📄table
  • 📈time plot

vs. base

linux x86_64 (pythonperf2)

vs. 3.10.4

  • Geometric mean: 1.18x faster (HPT: reliability of 100.00%, 1.14x faster at 99th %ile)
  • Memory usage: 1.33x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, bpe_tokeniser, sphinx
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.10x slower (HPT: reliability of 90.40%, 1.00x slower at 99th %ile)
  • Memory usage: 1.10x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: bpe_tokeniser, genshi_text, genshi_xml, html5lib, pylint, sphinx, thrift
  • 📄table
  • 📈time plot

vs. 3.13.0

  • Geometric mean: 1.10x slower (HPT: reliability of 85.27%, 1.00x slower at 99th %ile)
  • Memory usage: 1.20x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: sphinx, sqlalchemy_declarative, sqlalchemy_imperative
  • 📄table
  • 📈time plot

vs. base

windows amd64 (pythonperf1)

vs. 3.10.4

  • Geometric mean: 1.18x faster (HPT: reliability of 100.00%, 1.06x faster at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, mypy2, pickle, pickle_dict, pickle_list, sqlalchemy_declarative, sqlalchemy_imperative, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, sphinx
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.00x slower (HPT: reliability of 59.14%, 1.00x slower at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, mypy2, pickle, pickle_dict, pickle_list, sqlalchemy_declarative, sqlalchemy_imperative, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: genshi_text, genshi_xml, html5lib, pylint, sphinx, thrift
  • 📄table
  • 📈time plot

vs. 3.13.0

  • Geometric mean: 1.05x slower (HPT: reliability of 100.00%, 1.03x slower at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, flaskblogging, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: sphinx
  • 📄table
  • 📈time plot

vs. base

  • Geometric mean: 1.02x slower (HPT: reliability of 100.00%, 1.01x slower at 99th %ile)
  • Memory usage: unknown
  • 📄table
  • 📈time plot

windows x86 (pythonperf1_win32)

vs. 3.10.4

  • Geometric mean: 1.15x faster (HPT: reliability of 100.00%, 1.06x faster at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, mypy2, pickle, pickle_dict, pickle_list, sqlalchemy_declarative, sqlalchemy_imperative, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, sphinx
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.16x faster (HPT: reliability of 100.00%, 1.12x faster at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, mypy2, pickle, pickle_dict, pickle_list, sqlalchemy_declarative, sqlalchemy_imperative, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: genshi_text, genshi_xml, html5lib, pylint, sphinx, thrift
  • 📄table
  • 📈time plot

vs. 3.13.0

  • Geometric mean: 1.04x faster (HPT: reliability of 70.01%, 1.00x slower at 99th %ile)
  • Memory usage: unknown
  • missing benchmarks: asyncio_tcp, asyncio_tcp_ssl, chameleon, flaskblogging, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: sphinx
  • 📄table
  • 📈time plot

vs. base

  • Geometric mean: 1.02x slower (HPT: reliability of 100.00%, 1.00x slower at 99th %ile)
  • Memory usage: unknown
  • 📄table
  • 📈time plot

darwin arm64 (darwin)

vs. 3.10.4

  • Geometric mean: 1.22x faster (HPT: reliability of 100.00%, 1.12x faster at 99th %ile)
  • Memory usage: 1.42x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • 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, sphinx
  • 📄table
  • 📈time plot

vs. 3.12.0

  • Geometric mean: 1.02x faster (HPT: reliability of 86.08%, 1.00x faster at 99th %ile)
  • Memory usage: 1.26x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • 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, genshi_text, genshi_xml, html5lib, pylint, sphinx, thrift
  • 📄table
  • 📈time plot

vs. 3.13.0

  • Geometric mean: 1.02x faster (HPT: reliability of 96.31%, 1.00x faster at 99th %ile)
  • Memory usage: 6.40x
  • missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlite_synth, unpack_sequence, unpickle, unpickle_list
  • new benchmarks: sphinx, sqlalchemy_declarative, sqlalchemy_imperative
  • 📄table
  • 📈time plot

vs. base