- fork: faster-cpython
- ref: account_for_escapes_
- machine: linux-x86_64
- commit hash: de9adc3
- commit date: 2025-02-06
- overall geometric mean: 1.345x faster
- HPT reliability: 100.00%
- HPT 99th percentile: 1.23x faster
- Memory change: 1.27x
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3 |
---|---|---|
2to3 | 350 ms | 286 ms: 1.22x faster |
docutils | 3.41 sec | 2.87 sec: 1.19x faster |
html5lib | 94.6 ms | 67.6 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-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3 |
---|---|---|
async_tree_io | 1.60 sec | 658 ms: 2.43x faster |
async_tree_none | 692 ms | 290 ms: 2.39x faster |
async_tree_memoization | 819 ms | 353 ms: 2.32x faster |
async_tree_cpu_io_mixed | 936 ms | 523 ms: 1.79x faster |
Geometric mean | (ref) | 2.22x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3 |
---|---|---|
float | 111 ms | 70.3 ms: 1.58x faster |
nbody | 134 ms | 90.8 ms: 1.48x faster |
pidigits | 271 ms | 254 ms: 1.06x faster |
Geometric mean | (ref) | 1.35x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3 |
---|---|---|
regex_compile | 190 ms | 135 ms: 1.41x faster |
regex_dna | 261 ms | 231 ms: 1.13x faster |
regex_v8 | 27.2 ms | 25.2 ms: 1.08x faster |
regex_effbot | 3.09 ms | 3.11 ms: 1.01x slower |
Geometric mean | (ref) | 1.14x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3 |
---|---|---|
unpickle_pure_python | 312 us | 211 us: 1.48x faster |
tomli_loads | 2.92 sec | 2.09 sec: 1.39x faster |
pickle_pure_python | 455 us | 329 us: 1.38x faster |
xml_etree_process | 75.9 ms | 60.2 ms: 1.26x faster |
json_dumps | 14.5 ms | 11.8 ms: 1.24x faster |
xml_etree_parse | 160 ms | 139 ms: 1.15x faster |
json_loads | 30.3 us | 26.5 us: 1.14x faster |
xml_etree_iterparse | 110 ms | 98.7 ms: 1.12x faster |
xml_etree_generate | 92.3 ms | 83.9 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-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3 |
---|---|---|
python_startup_no_site | 7.33 ms | 9.01 ms: 1.23x slower |
python_startup | 11.5 ms | 16.2 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-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3 |
---|---|---|
django_template | 50.2 ms | 35.9 ms: 1.40x faster |
mako | 14.7 ms | 10.7 ms: 1.37x faster |
genshi_text | 31.4 ms | 24.7 ms: 1.27x faster |
genshi_xml | 63.3 ms | 57.9 ms: 1.09x faster |
Geometric mean | (ref) | 1.28x faster |
Benchmark | bm-20220323-pythonperf2-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3 |
---|---|---|
typing_runtime_protocols | 537 us | 170 us: 3.16x faster |
async_tree_io | 1.60 sec | 658 ms: 2.43x faster |
async_tree_none | 692 ms | 290 ms: 2.39x faster |
async_tree_memoization | 819 ms | 353 ms: 2.32x faster |
deltablue | 7.50 ms | 3.33 ms: 2.25x faster |
go | 262 ms | 127 ms: 2.05x faster |
generators | 57.3 ms | 29.2 ms: 1.96x faster |
chaos | 109 ms | 60.0 ms: 1.81x faster |
async_tree_cpu_io_mixed | 936 ms | 523 ms: 1.79x faster |
pylint | 566 ms | 317 ms: 1.78x faster |
scimark_lu | 167 ms | 94.1 ms: 1.77x faster |
raytrace | 489 ms | 277 ms: 1.77x faster |
logging_silent | 167 ns | 96.9 ns: 1.73x faster |
richards_super | 90.6 ms | 52.9 ms: 1.71x faster |
spectral_norm | 139 ms | 83.1 ms: 1.67x faster |
pyflate | 733 ms | 439 ms: 1.67x faster |
sqlglot_parse | 2.24 ms | 1.35 ms: 1.65x faster |
scimark_monte_carlo | 107 ms | 65.4 ms: 1.64x faster |
deepcopy_memo | 49.8 us | 30.5 us: 1.63x faster |
scimark_sor | 180 ms | 111 ms: 1.63x faster |
deepcopy | 468 us | 288 us: 1.62x faster |
richards | 75.1 ms | 47.0 ms: 1.60x faster |
crypto_pyaes | 119 ms | 75.4 ms: 1.58x faster |
float | 111 ms | 70.3 ms: 1.58x faster |
comprehensions | 26.7 us | 17.2 us: 1.55x faster |
sqlglot_transpile | 2.68 ms | 1.74 ms: 1.54x faster |
hexiom | 9.42 ms | 6.16 ms: 1.53x faster |
nbody | 134 ms | 90.8 ms: 1.48x faster |
unpickle_pure_python | 312 us | 211 us: 1.48x faster |
coroutines | 30.3 ms | 21.1 ms: 1.44x faster |
logging_simple | 8.88 us | 6.20 us: 1.43x faster |
regex_compile | 190 ms | 135 ms: 1.41x faster |
logging_format | 9.64 us | 6.87 us: 1.40x faster |
html5lib | 94.6 ms | 67.6 ms: 1.40x faster |
django_template | 50.2 ms | 35.9 ms: 1.40x faster |
tomli_loads | 2.92 sec | 2.09 sec: 1.39x faster |
pickle_pure_python | 455 us | 329 us: 1.38x faster |
mako | 14.7 ms | 10.7 ms: 1.37x faster |
deepcopy_reduce | 4.01 us | 2.95 us: 1.36x faster |
pathlib | 21.4 ms | 15.8 ms: 1.36x faster |
thrift | 1.18 ms | 870 us: 1.35x faster |
pycparser | 1.67 sec | 1.26 sec: 1.33x faster |
pprint_safe_repr | 1.05 sec | 792 ms: 1.32x faster |
sqlalchemy_declarative | 190 ms | 143 ms: 1.32x faster |
fannkuch | 483 ms | 366 ms: 1.32x faster |
pprint_pformat | 2.15 sec | 1.64 sec: 1.32x faster |
nqueens | 115 ms | 88.9 ms: 1.29x faster |
sqlalchemy_imperative | 22.7 ms | 17.8 ms: 1.28x faster |
genshi_text | 31.4 ms | 24.7 ms: 1.27x faster |
sympy_sum | 193 ms | 152 ms: 1.27x faster |
xml_etree_process | 75.9 ms | 60.2 ms: 1.26x faster |
json_dumps | 14.5 ms | 11.8 ms: 1.24x faster |
sympy_str | 360 ms | 291 ms: 1.24x faster |
sqlglot_normalize | 144 ms | 116 ms: 1.24x faster |
mdp | 3.01 sec | 2.46 sec: 1.22x faster |
2to3 | 350 ms | 286 ms: 1.22x faster |
sqlglot_optimize | 70.1 ms | 57.5 ms: 1.22x faster |
sympy_integrate | 28.2 ms | 23.1 ms: 1.22x faster |
dulwich_log | 81.1 ms | 67.0 ms: 1.21x faster |
sympy_expand | 600 ms | 497 ms: 1.21x faster |
bench_thread_pool | 1.14 ms | 957 us: 1.19x faster |
docutils | 3.41 sec | 2.87 sec: 1.19x faster |
xml_etree_parse | 160 ms | 139 ms: 1.15x faster |
scimark_fft | 361 ms | 313 ms: 1.15x faster |
json_loads | 30.3 us | 26.5 us: 1.14x faster |
regex_dna | 261 ms | 231 ms: 1.13x faster |
xml_etree_iterparse | 110 ms | 98.7 ms: 1.12x faster |
meteor_contest | 138 ms | 124 ms: 1.12x faster |
xml_etree_generate | 92.3 ms | 83.9 ms: 1.10x faster |
genshi_xml | 63.3 ms | 57.9 ms: 1.09x faster |
regex_v8 | 27.2 ms | 25.2 ms: 1.08x faster |
sqlite_synth | 2.99 us | 2.80 us: 1.07x faster |
json | 5.86 ms | 5.49 ms: 1.07x faster |
scimark_sparse_mat_mult | 5.08 ms | 4.76 ms: 1.07x faster |
pidigits | 271 ms | 254 ms: 1.06x faster |
async_generators | 421 ms | 405 ms: 1.04x faster |
asyncio_websockets | 390 ms | 385 ms: 1.01x faster |
regex_effbot | 3.09 ms | 3.11 ms: 1.01x slower |
telco | 7.23 ms | 8.11 ms: 1.12x slower |
coverage | 63.3 ms | 77.5 ms: 1.22x slower |
python_startup_no_site | 7.33 ms | 9.01 ms: 1.23x slower |
python_startup | 11.5 ms | 16.2 ms: 1.40x slower |
create_gc_cycles | 1.76 ms | 2.76 ms: 1.56x slower |
gc_traversal | 3.42 ms | 6.38 ms: 1.87x slower |
bench_mp_pool | 6.37 ms | 1.64 sec: 256.59x slower |
Geometric mean | (ref) | 1.26x 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-20250206-3.14.0a4+-de9adc3/bm-20250206-pythonperf2-x86_64-faster%2dcpython-account_for_escapes_-3.14.0a4+-de9adc3.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): 1.345x faster
- Reliability score: 100.00% likely to be faster
- 90% likely to have a speedup of 1.28x
- 95% likely to have a speedup of 1.26x
- 99% likely to have a speedup of 1.23x
- memory change: 1.27x