- fork: mdboom
- ref: aa_test_2025
- machine: linux-x86_64
- commit hash: 4844db8
- commit date: 2025-01-21
- overall geometric mean: 1.447x faster
- HPT reliability: 100.00%
- HPT 99th percentile: 1.31x faster
- Memory change: 1.26x
| Benchmark | bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8 |
|---|---|---|
| 2to3 | 348 ms | 256 ms: 1.36x faster |
| docutils | 3.30 sec | 2.60 sec: 1.27x faster |
| html5lib | 88.9 ms | 61.2 ms: 1.45x faster |
| Geometric mean | (ref) | 1.36x faster |
| Benchmark | bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8 |
|---|---|---|
| async_tree_io | 1.77 sec | 599 ms: 2.95x faster |
| async_tree_none | 728 ms | 256 ms: 2.84x faster |
| async_tree_memoization | 870 ms | 323 ms: 2.69x faster |
| async_tree_cpu_io_mixed | 1.02 sec | 482 ms: 2.11x faster |
| Geometric mean | (ref) | 2.63x faster |
| Benchmark | bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8 |
|---|---|---|
| float | 117 ms | 70.1 ms: 1.67x faster |
| nbody | 154 ms | 94.0 ms: 1.63x faster |
| pidigits | 191 ms | 187 ms: 1.02x faster |
| Geometric mean | (ref) | 1.41x faster |
| Benchmark | bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8 |
|---|---|---|
| regex_compile | 188 ms | 128 ms: 1.47x faster |
| regex_effbot | 3.63 ms | 3.31 ms: 1.10x faster |
| regex_dna | 227 ms | 209 ms: 1.08x faster |
| regex_v8 | 27.8 ms | 26.3 ms: 1.06x faster |
| Geometric mean | (ref) | 1.17x faster |
| Benchmark | bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8 |
|---|---|---|
| tomli_loads | 3.14 sec | 1.97 sec: 1.59x faster |
| pickle_pure_python | 484 us | 328 us: 1.48x faster |
| unpickle_pure_python | 331 us | 226 us: 1.46x faster |
| xml_etree_process | 79.1 ms | 61.4 ms: 1.29x faster |
| xml_etree_parse | 168 ms | 139 ms: 1.21x faster |
| json_dumps | 14.2 ms | 12.0 ms: 1.18x faster |
| xml_etree_iterparse | 115 ms | 97.8 ms: 1.18x faster |
| xml_etree_generate | 99.4 ms | 84.6 ms: 1.18x faster |
| json_loads | 31.2 us | 28.9 us: 1.08x faster |
| Geometric mean | (ref) | 1.28x faster |
| Benchmark | bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8 |
|---|---|---|
| python_startup | 14.6 ms | 12.8 ms: 1.14x faster |
| python_startup_no_site | 5.93 ms | 7.02 ms: 1.18x slower |
| Geometric mean | (ref) | 1.02x slower |
| Benchmark | bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8 |
|---|---|---|
| django_template | 48.2 ms | 32.2 ms: 1.49x faster |
| genshi_text | 31.8 ms | 21.8 ms: 1.46x faster |
| mako | 16.3 ms | 11.2 ms: 1.45x faster |
| genshi_xml | 66.0 ms | 50.0 ms: 1.32x faster |
| Geometric mean | (ref) | 1.43x faster |
| Benchmark | bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120 | bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8 |
|---|---|---|
| typing_runtime_protocols | 544 us | 165 us: 3.31x faster |
| async_tree_io | 1.77 sec | 599 ms: 2.95x faster |
| generators | 80.1 ms | 28.0 ms: 2.86x faster |
| async_tree_none | 728 ms | 256 ms: 2.84x faster |
| async_tree_memoization | 870 ms | 323 ms: 2.69x faster |
| deltablue | 7.91 ms | 3.14 ms: 2.52x faster |
| async_tree_cpu_io_mixed | 1.02 sec | 482 ms: 2.11x faster |
| go | 240 ms | 116 ms: 2.07x faster |
| pylint | 551 ms | 274 ms: 2.01x faster |
| chaos | 115 ms | 58.5 ms: 1.97x faster |
| richards_super | 94.7 ms | 49.7 ms: 1.91x faster |
| deepcopy_memo | 58.5 us | 30.8 us: 1.90x faster |
| raytrace | 507 ms | 271 ms: 1.87x faster |
| deepcopy | 479 us | 258 us: 1.86x faster |
| logging_silent | 190 ns | 103 ns: 1.85x faster |
| scimark_sor | 220 ms | 120 ms: 1.84x faster |
| richards | 79.3 ms | 43.3 ms: 1.83x faster |
| scimark_monte_carlo | 118 ms | 66.3 ms: 1.78x faster |
| crypto_pyaes | 128 ms | 71.8 ms: 1.78x faster |
| spectral_norm | 170 ms | 97.9 ms: 1.74x faster |
| sqlglot_parse | 2.17 ms | 1.26 ms: 1.73x faster |
| comprehensions | 28.8 us | 16.7 us: 1.72x faster |
| float | 117 ms | 70.1 ms: 1.67x faster |
| hexiom | 10.4 ms | 6.29 ms: 1.65x faster |
| sqlglot_transpile | 2.57 ms | 1.56 ms: 1.65x faster |
| nbody | 154 ms | 94.0 ms: 1.63x faster |
| tomli_loads | 3.14 sec | 1.97 sec: 1.59x faster |
| deepcopy_reduce | 4.17 us | 2.67 us: 1.56x faster |
| pyflate | 716 ms | 462 ms: 1.55x faster |
| coroutines | 35.1 ms | 23.2 ms: 1.51x faster |
| scimark_lu | 176 ms | 117 ms: 1.51x faster |
| django_template | 48.2 ms | 32.2 ms: 1.49x faster |
| pickle_pure_python | 484 us | 328 us: 1.48x faster |
| regex_compile | 188 ms | 128 ms: 1.47x faster |
| logging_format | 9.09 us | 6.21 us: 1.46x faster |
| unpickle_pure_python | 331 us | 226 us: 1.46x faster |
| genshi_text | 31.8 ms | 21.8 ms: 1.46x faster |
| html5lib | 88.9 ms | 61.2 ms: 1.45x faster |
| mako | 16.3 ms | 11.2 ms: 1.45x faster |
| logging_simple | 8.30 us | 5.73 us: 1.45x faster |
| scimark_sparse_mat_mult | 6.47 ms | 4.54 ms: 1.43x faster |
| pprint_pformat | 2.10 sec | 1.49 sec: 1.41x faster |
| pprint_safe_repr | 1.02 sec | 725 ms: 1.40x faster |
| sqlalchemy_imperative | 23.3 ms | 16.6 ms: 1.40x faster |
| scimark_fft | 466 ms | 337 ms: 1.38x faster |
| 2to3 | 348 ms | 256 ms: 1.36x faster |
| sqlglot_normalize | 143 ms | 105 ms: 1.36x faster |
| thrift | 1.07 ms | 787 us: 1.36x faster |
| sympy_sum | 196 ms | 147 ms: 1.34x faster |
| pycparser | 1.58 sec | 1.19 sec: 1.33x faster |
| nqueens | 106 ms | 79.9 ms: 1.33x faster |
| sqlalchemy_declarative | 172 ms | 130 ms: 1.32x faster |
| genshi_xml | 66.0 ms | 50.0 ms: 1.32x faster |
| fannkuch | 532 ms | 404 ms: 1.32x faster |
| sympy_integrate | 25.8 ms | 19.7 ms: 1.31x faster |
| dulwich_log | 84.3 ms | 64.4 ms: 1.31x faster |
| sqlglot_optimize | 69.2 ms | 53.1 ms: 1.30x faster |
| sympy_str | 346 ms | 266 ms: 1.30x faster |
| pathlib | 20.5 ms | 15.8 ms: 1.29x faster |
| xml_etree_process | 79.1 ms | 61.4 ms: 1.29x faster |
| docutils | 3.30 sec | 2.60 sec: 1.27x faster |
| sympy_expand | 566 ms | 455 ms: 1.24x faster |
| xml_etree_parse | 168 ms | 139 ms: 1.21x faster |
| json_dumps | 14.2 ms | 12.0 ms: 1.18x faster |
| xml_etree_iterparse | 115 ms | 97.8 ms: 1.18x faster |
| xml_etree_generate | 99.4 ms | 84.6 ms: 1.18x faster |
| mdp | 2.85 sec | 2.47 sec: 1.15x faster |
| bench_thread_pool | 986 us | 862 us: 1.14x faster |
| async_generators | 444 ms | 389 ms: 1.14x faster |
| python_startup | 14.6 ms | 12.8 ms: 1.14x faster |
| meteor_contest | 120 ms | 106 ms: 1.13x faster |
| regex_effbot | 3.63 ms | 3.31 ms: 1.10x faster |
| sqlite_synth | 3.02 us | 2.77 us: 1.09x faster |
| json | 5.69 ms | 5.25 ms: 1.08x faster |
| regex_dna | 227 ms | 209 ms: 1.08x faster |
| json_loads | 31.2 us | 28.9 us: 1.08x faster |
| regex_v8 | 27.8 ms | 26.3 ms: 1.06x faster |
| pidigits | 191 ms | 187 ms: 1.02x faster |
| asyncio_websockets | 559 ms | 553 ms: 1.01x faster |
| telco | 7.27 ms | 8.02 ms: 1.10x slower |
| coverage | 79.4 ms | 90.1 ms: 1.13x slower |
| python_startup_no_site | 5.93 ms | 7.02 ms: 1.18x slower |
| gc_traversal | 3.62 ms | 4.62 ms: 1.27x slower |
| create_gc_cycles | 1.62 ms | 2.44 ms: 1.50x slower |
| bench_mp_pool | 24.0 ms | 81.0 ms: 3.37x slower |
| Geometric mean | (ref) | 1.42x faster |
| Ignored benchmarks (16) of results/bm-20220323-3.10.4-9d38120/bm-20220323-linux-x86_64-python-v3.10.4-3.10.4-9d38120.json: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, djangocms, 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+-4844db8/bm-20250121-linux-x86_64-mdboom-aa_test_2025-3.14.0a4+-4844db8.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): 1.447x faster
- Reliability score: 100.00% likely to be faster
- 90% likely to have a speedup of 1.34x
- 95% likely to have a speedup of 1.33x
- 99% likely to have a speedup of 1.31x
- memory change: 1.26x