- fork: python
- ref: f18b2264929c56360c86
- machine: linux-x86_64
- commit hash: f18b226
- commit date: 2025-01-21
- overall geometric mean: 1.353x faster
- HPT reliability: 100.00%
- HPT 99th percentile: 1.24x faster
- Memory change: 1.27x
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226 |
---|---|---|
2to3 | 350 ms | 280 ms: 1.25x faster |
docutils | 3.41 sec | 2.89 sec: 1.18x faster |
html5lib | 94.6 ms | 67.4 ms: 1.40x faster |
Geometric mean | (ref) | 1.27x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226 |
---|---|---|
async_tree_io | 1.60 sec | 624 ms: 2.56x faster |
async_tree_none | 692 ms | 276 ms: 2.51x faster |
async_tree_memoization | 819 ms | 342 ms: 2.40x faster |
async_tree_cpu_io_mixed | 936 ms | 507 ms: 1.85x faster |
Geometric mean | (ref) | 2.31x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226 |
---|---|---|
float | 111 ms | 69.4 ms: 1.60x faster |
nbody | 134 ms | 86.5 ms: 1.55x faster |
pidigits | 271 ms | 253 ms: 1.07x faster |
Geometric mean | (ref) | 1.38x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226 |
---|---|---|
regex_compile | 190 ms | 135 ms: 1.41x faster |
regex_dna | 261 ms | 236 ms: 1.11x faster |
regex_v8 | 27.2 ms | 25.9 ms: 1.05x faster |
regex_effbot | 3.09 ms | 3.06 ms: 1.01x faster |
Geometric mean | (ref) | 1.13x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226 |
---|---|---|
unpickle_pure_python | 312 us | 220 us: 1.42x faster |
tomli_loads | 2.92 sec | 2.06 sec: 1.41x faster |
pickle_pure_python | 455 us | 334 us: 1.36x faster |
json_dumps | 14.5 ms | 11.6 ms: 1.25x faster |
xml_etree_process | 75.9 ms | 62.7 ms: 1.21x faster |
json_loads | 30.3 us | 25.3 us: 1.20x faster |
xml_etree_parse | 160 ms | 138 ms: 1.16x faster |
xml_etree_iterparse | 110 ms | 95.8 ms: 1.15x faster |
xml_etree_generate | 92.3 ms | 83.8 ms: 1.10x faster |
Geometric mean | (ref) | 1.25x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226 |
---|---|---|
python_startup_no_site | 7.33 ms | 8.98 ms: 1.23x slower |
python_startup | 11.5 ms | 16.0 ms: 1.39x slower |
Geometric mean | (ref) | 1.31x slower |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226 |
---|---|---|
django_template | 50.2 ms | 36.2 ms: 1.39x faster |
mako | 14.7 ms | 10.9 ms: 1.35x faster |
genshi_text | 31.4 ms | 24.1 ms: 1.30x faster |
genshi_xml | 63.3 ms | 54.2 ms: 1.17x faster |
Geometric mean | (ref) | 1.30x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226 |
---|---|---|
typing_runtime_protocols | 537 us | 176 us: 3.05x faster |
async_tree_io | 1.60 sec | 624 ms: 2.56x faster |
async_tree_none | 692 ms | 276 ms: 2.51x faster |
async_tree_memoization | 819 ms | 342 ms: 2.40x faster |
deltablue | 7.50 ms | 3.28 ms: 2.29x faster |
go | 262 ms | 126 ms: 2.07x faster |
generators | 57.3 ms | 28.8 ms: 1.99x faster |
async_tree_cpu_io_mixed | 936 ms | 507 ms: 1.85x faster |
chaos | 109 ms | 59.3 ms: 1.83x faster |
pylint | 566 ms | 314 ms: 1.80x faster |
raytrace | 489 ms | 274 ms: 1.79x faster |
scimark_lu | 167 ms | 95.6 ms: 1.75x faster |
richards_super | 90.6 ms | 52.4 ms: 1.73x faster |
logging_silent | 167 ns | 96.9 ns: 1.73x faster |
sqlglot_parse | 2.24 ms | 1.30 ms: 1.73x faster |
scimark_monte_carlo | 107 ms | 63.0 ms: 1.71x faster |
deepcopy_memo | 49.8 us | 29.8 us: 1.67x faster |
deepcopy | 468 us | 281 us: 1.67x faster |
spectral_norm | 139 ms | 84.4 ms: 1.65x faster |
scimark_sor | 180 ms | 110 ms: 1.64x faster |
richards | 75.1 ms | 45.8 ms: 1.64x faster |
pyflate | 733 ms | 447 ms: 1.64x faster |
float | 111 ms | 69.4 ms: 1.60x faster |
sqlglot_transpile | 2.68 ms | 1.69 ms: 1.59x faster |
crypto_pyaes | 119 ms | 75.0 ms: 1.59x faster |
hexiom | 9.42 ms | 5.97 ms: 1.58x faster |
nbody | 134 ms | 86.5 ms: 1.55x faster |
comprehensions | 26.7 us | 17.7 us: 1.51x faster |
coroutines | 30.3 ms | 20.9 ms: 1.45x faster |
unpickle_pure_python | 312 us | 220 us: 1.42x faster |
tomli_loads | 2.92 sec | 2.06 sec: 1.41x faster |
regex_compile | 190 ms | 135 ms: 1.41x faster |
html5lib | 94.6 ms | 67.4 ms: 1.40x faster |
django_template | 50.2 ms | 36.2 ms: 1.39x faster |
deepcopy_reduce | 4.01 us | 2.90 us: 1.38x faster |
pycparser | 1.67 sec | 1.22 sec: 1.38x faster |
pprint_pformat | 2.15 sec | 1.58 sec: 1.36x faster |
pickle_pure_python | 455 us | 334 us: 1.36x faster |
thrift | 1.18 ms | 867 us: 1.36x faster |
mako | 14.7 ms | 10.9 ms: 1.35x faster |
logging_simple | 8.88 us | 6.56 us: 1.35x faster |
pathlib | 21.4 ms | 15.8 ms: 1.35x faster |
logging_format | 9.64 us | 7.14 us: 1.35x faster |
pprint_safe_repr | 1.05 sec | 782 ms: 1.34x faster |
sqlalchemy_declarative | 190 ms | 144 ms: 1.32x faster |
genshi_text | 31.4 ms | 24.1 ms: 1.30x faster |
fannkuch | 483 ms | 375 ms: 1.29x faster |
nqueens | 115 ms | 89.7 ms: 1.28x faster |
sympy_sum | 193 ms | 151 ms: 1.28x faster |
sqlalchemy_imperative | 22.7 ms | 17.8 ms: 1.27x faster |
json_dumps | 14.5 ms | 11.6 ms: 1.25x faster |
2to3 | 350 ms | 280 ms: 1.25x faster |
sqlglot_normalize | 144 ms | 115 ms: 1.25x faster |
sympy_str | 360 ms | 290 ms: 1.24x faster |
mdp | 3.01 sec | 2.44 sec: 1.23x faster |
sympy_integrate | 28.2 ms | 23.0 ms: 1.23x faster |
bench_thread_pool | 1.14 ms | 933 us: 1.22x faster |
sympy_expand | 600 ms | 493 ms: 1.22x faster |
sqlglot_optimize | 70.1 ms | 57.7 ms: 1.22x faster |
xml_etree_process | 75.9 ms | 62.7 ms: 1.21x faster |
dulwich_log | 81.1 ms | 67.4 ms: 1.20x faster |
json_loads | 30.3 us | 25.3 us: 1.20x faster |
docutils | 3.41 sec | 2.89 sec: 1.18x faster |
scimark_fft | 361 ms | 306 ms: 1.18x faster |
genshi_xml | 63.3 ms | 54.2 ms: 1.17x faster |
xml_etree_parse | 160 ms | 138 ms: 1.16x faster |
xml_etree_iterparse | 110 ms | 95.8 ms: 1.15x faster |
scimark_sparse_mat_mult | 5.08 ms | 4.52 ms: 1.12x faster |
regex_dna | 261 ms | 236 ms: 1.11x faster |
json | 5.86 ms | 5.30 ms: 1.11x faster |
xml_etree_generate | 92.3 ms | 83.8 ms: 1.10x faster |
meteor_contest | 138 ms | 127 ms: 1.09x faster |
pidigits | 271 ms | 253 ms: 1.07x faster |
sqlite_synth | 2.99 us | 2.84 us: 1.05x faster |
regex_v8 | 27.2 ms | 25.9 ms: 1.05x faster |
async_generators | 421 ms | 408 ms: 1.03x faster |
asyncio_websockets | 390 ms | 385 ms: 1.01x faster |
regex_effbot | 3.09 ms | 3.06 ms: 1.01x faster |
telco | 7.23 ms | 8.26 ms: 1.14x slower |
python_startup_no_site | 7.33 ms | 8.98 ms: 1.23x slower |
coverage | 63.3 ms | 78.0 ms: 1.23x slower |
python_startup | 11.5 ms | 16.0 ms: 1.39x slower |
create_gc_cycles | 1.76 ms | 2.76 ms: 1.57x slower |
gc_traversal | 3.42 ms | 6.55 ms: 1.92x slower |
bench_mp_pool | 6.37 ms | 1.70 sec: 266.59x slower |
Geometric mean | (ref) | 1.27x faster |
Ignored benchmarks (15) 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, chameleon, dask, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, tornado_http, unpack_sequence, unpickle, unpickle_list | ||
Ignored benchmarks (11) of results/bm-20250121-3.14.0a4+-f18b226/bm-20250121-pythonperf2-x86_64-python-f18b2264929c56360c86-3.14.0a4+-f18b226.json: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, bpe_tokeniser, connected_components, k_core, many_optionals, shortest_path, sphinx, subparsers |
- Geometric mean (including insignificant results): 1.353x faster
- Reliability score: 100.00% likely to be faster
- 90% likely to have a speedup of 1.27x
- 95% likely to have a speedup of 1.26x
- 99% likely to have a speedup of 1.24x
- memory change: 1.27x