- fork: python
- ref: v3.13.2
- machine: linux-x86_64
- commit hash: 4f8bb39
- commit date: 2025-02-04
- overall geometric mean: 1.284x faster
- HPT reliability: 100.00%
- HPT 99th percentile: 1.20x faster
- Memory change: 1.24x
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39 |
---|---|---|
2to3 | 350 ms | 294 ms: 1.19x faster |
chameleon | 9.44 ms | 7.48 ms: 1.26x faster |
docutils | 3.41 sec | 2.81 sec: 1.21x faster |
html5lib | 94.6 ms | 73.7 ms: 1.28x faster |
tornado_http | 157 ms | 122 ms: 1.29x faster |
Geometric mean | (ref) | 1.25x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39 |
---|---|---|
async_tree_io | 1.60 sec | 856 ms: 1.87x faster |
async_tree_none | 692 ms | 382 ms: 1.81x faster |
async_tree_memoization | 819 ms | 476 ms: 1.72x faster |
async_tree_cpu_io_mixed | 936 ms | 614 ms: 1.52x faster |
Geometric mean | (ref) | 1.73x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39 |
---|---|---|
nbody | 134 ms | 88.6 ms: 1.51x faster |
float | 111 ms | 80.3 ms: 1.38x faster |
pidigits | 271 ms | 261 ms: 1.04x faster |
Geometric mean | (ref) | 1.30x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39 |
---|---|---|
regex_compile | 190 ms | 141 ms: 1.34x faster |
regex_dna | 261 ms | 240 ms: 1.09x faster |
regex_v8 | 27.2 ms | 25.4 ms: 1.07x faster |
regex_effbot | 3.09 ms | 3.26 ms: 1.05x slower |
Geometric mean | (ref) | 1.10x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39 |
---|---|---|
unpickle_pure_python | 312 us | 214 us: 1.46x faster |
pickle_pure_python | 455 us | 327 us: 1.39x faster |
json_dumps | 14.5 ms | 11.0 ms: 1.33x faster |
xml_etree_process | 75.9 ms | 60.1 ms: 1.26x faster |
json_loads | 30.3 us | 25.0 us: 1.21x faster |
tomli_loads | 2.92 sec | 2.45 sec: 1.19x faster |
xml_etree_parse | 160 ms | 150 ms: 1.07x faster |
xml_etree_generate | 92.3 ms | 86.6 ms: 1.07x faster |
xml_etree_iterparse | 110 ms | 104 ms: 1.06x faster |
Geometric mean | (ref) | 1.22x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39 |
---|---|---|
python_startup_no_site | 7.33 ms | 9.03 ms: 1.23x slower |
python_startup | 11.5 ms | 16.1 ms: 1.40x slower |
Geometric mean | (ref) | 1.31x slower |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39 |
---|---|---|
django_template | 50.2 ms | 35.5 ms: 1.41x faster |
mako | 14.7 ms | 10.4 ms: 1.41x faster |
genshi_text | 31.4 ms | 26.0 ms: 1.21x faster |
genshi_xml | 63.3 ms | 56.6 ms: 1.12x faster |
Geometric mean | (ref) | 1.28x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39 |
---|---|---|
typing_runtime_protocols | 537 us | 173 us: 3.10x faster |
deltablue | 7.50 ms | 3.36 ms: 2.23x faster |
async_tree_io | 1.60 sec | 856 ms: 1.87x faster |
chaos | 109 ms | 59.3 ms: 1.83x faster |
async_tree_none | 692 ms | 382 ms: 1.81x faster |
raytrace | 489 ms | 277 ms: 1.76x faster |
logging_silent | 167 ns | 96.0 ns: 1.74x faster |
async_tree_memoization | 819 ms | 476 ms: 1.72x faster |
generators | 57.3 ms | 33.7 ms: 1.70x faster |
scimark_lu | 167 ms | 98.3 ms: 1.70x faster |
scimark_monte_carlo | 107 ms | 65.0 ms: 1.65x faster |
crypto_pyaes | 119 ms | 72.1 ms: 1.65x faster |
go | 262 ms | 160 ms: 1.64x faster |
pylint | 566 ms | 346 ms: 1.63x faster |
sqlglot_parse | 2.24 ms | 1.39 ms: 1.61x faster |
pyflate | 733 ms | 475 ms: 1.54x faster |
richards_super | 90.6 ms | 59.3 ms: 1.53x faster |
async_tree_cpu_io_mixed | 936 ms | 614 ms: 1.52x faster |
comprehensions | 26.7 us | 17.6 us: 1.52x faster |
nbody | 134 ms | 88.6 ms: 1.51x faster |
sqlglot_transpile | 2.68 ms | 1.79 ms: 1.50x faster |
hexiom | 9.42 ms | 6.37 ms: 1.48x faster |
scimark_sor | 180 ms | 123 ms: 1.47x faster |
unpickle_pure_python | 312 us | 214 us: 1.46x faster |
spectral_norm | 139 ms | 95.6 ms: 1.45x faster |
richards | 75.1 ms | 52.3 ms: 1.43x faster |
coroutines | 30.3 ms | 21.4 ms: 1.42x faster |
django_template | 50.2 ms | 35.5 ms: 1.41x faster |
mako | 14.7 ms | 10.4 ms: 1.41x faster |
pickle_pure_python | 455 us | 327 us: 1.39x faster |
logging_format | 9.64 us | 6.94 us: 1.39x faster |
logging_simple | 8.88 us | 6.41 us: 1.39x faster |
float | 111 ms | 80.3 ms: 1.38x faster |
regex_compile | 190 ms | 141 ms: 1.34x faster |
pycparser | 1.67 sec | 1.26 sec: 1.33x faster |
thrift | 1.18 ms | 885 us: 1.33x faster |
json_dumps | 14.5 ms | 11.0 ms: 1.33x faster |
fannkuch | 483 ms | 365 ms: 1.32x faster |
pprint_pformat | 2.15 sec | 1.66 sec: 1.30x faster |
deepcopy_memo | 49.8 us | 38.5 us: 1.29x faster |
pprint_safe_repr | 1.05 sec | 812 ms: 1.29x faster |
sqlalchemy_declarative | 190 ms | 147 ms: 1.29x faster |
bench_mp_pool | 6.37 ms | 4.95 ms: 1.29x faster |
tornado_http | 157 ms | 122 ms: 1.29x faster |
html5lib | 94.6 ms | 73.7 ms: 1.28x faster |
nqueens | 115 ms | 89.7 ms: 1.28x faster |
chameleon | 9.44 ms | 7.48 ms: 1.26x faster |
xml_etree_process | 75.9 ms | 60.1 ms: 1.26x faster |
sympy_sum | 193 ms | 155 ms: 1.25x faster |
bench_thread_pool | 1.14 ms | 917 us: 1.24x faster |
sqlalchemy_imperative | 22.7 ms | 18.3 ms: 1.24x faster |
pathlib | 21.4 ms | 17.4 ms: 1.23x faster |
docutils | 3.41 sec | 2.81 sec: 1.21x faster |
json_loads | 30.3 us | 25.0 us: 1.21x faster |
deepcopy | 468 us | 387 us: 1.21x faster |
genshi_text | 31.4 ms | 26.0 ms: 1.21x faster |
sympy_str | 360 ms | 298 ms: 1.21x faster |
sqlglot_normalize | 144 ms | 119 ms: 1.20x faster |
sympy_integrate | 28.2 ms | 23.5 ms: 1.20x faster |
dulwich_log | 81.1 ms | 67.8 ms: 1.20x faster |
2to3 | 350 ms | 294 ms: 1.19x faster |
sqlglot_optimize | 70.1 ms | 59.0 ms: 1.19x faster |
tomli_loads | 2.92 sec | 2.45 sec: 1.19x faster |
mdp | 3.01 sec | 2.54 sec: 1.18x faster |
sympy_expand | 600 ms | 508 ms: 1.18x faster |
gunicorn | 1.16 ms | 994 us: 1.17x faster |
scimark_fft | 361 ms | 315 ms: 1.15x faster |
deepcopy_reduce | 4.01 us | 3.52 us: 1.14x faster |
genshi_xml | 63.3 ms | 56.6 ms: 1.12x faster |
regex_dna | 261 ms | 240 ms: 1.09x faster |
scimark_sparse_mat_mult | 5.08 ms | 4.68 ms: 1.08x faster |
json | 5.86 ms | 5.45 ms: 1.08x faster |
meteor_contest | 138 ms | 129 ms: 1.07x faster |
regex_v8 | 27.2 ms | 25.4 ms: 1.07x faster |
xml_etree_parse | 160 ms | 150 ms: 1.07x faster |
xml_etree_generate | 92.3 ms | 86.6 ms: 1.07x faster |
xml_etree_iterparse | 110 ms | 104 ms: 1.06x faster |
pidigits | 271 ms | 261 ms: 1.04x faster |
sqlite_synth | 2.99 us | 2.90 us: 1.03x faster |
asyncio_websockets | 390 ms | 382 ms: 1.02x faster |
async_generators | 421 ms | 427 ms: 1.02x slower |
regex_effbot | 3.09 ms | 3.26 ms: 1.05x slower |
telco | 7.23 ms | 8.84 ms: 1.22x slower |
python_startup_no_site | 7.33 ms | 9.03 ms: 1.23x slower |
coverage | 63.3 ms | 84.7 ms: 1.34x slower |
python_startup | 11.5 ms | 16.1 ms: 1.40x slower |
gc_traversal | 3.42 ms | 4.92 ms: 1.44x slower |
create_gc_cycles | 1.76 ms | 2.72 ms: 1.54x slower |
Geometric mean | (ref) | 1.29x faster |
Ignored benchmarks (12) of results/bm-20220323-3.10.4-9d38120/bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120.json: aiohttp, asyncio_tcp, asyncio_tcp_ssl, dask, flaskblogging, mypy2, pickle, pickle_dict, pickle_list, unpack_sequence, unpickle, unpickle_list | ||
Ignored benchmarks (13) of results/bm-20250204-3.13.2-4f8bb39/bm-20250204-pythonperf2-x86_64-python-v3.13.2-3.13.2-4f8bb39.json: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, bpe_tokeniser, connected_components, djangocms, gevent_hub, k_core, many_optionals, shortest_path, sphinx, subparsers |
- Geometric mean (including insignificant results): 1.284x faster
- Reliability score: 100.00% likely to be faster
- 90% likely to have a speedup of 1.24x
- 95% likely to have a speedup of 1.22x
- 99% likely to have a speedup of 1.20x
- memory change: 1.24x