| Benchmark | 2021-07-07_13-28-master-6bd3ecfc272b | 2021-07-09_08-38-lazy-frame-d147d033c057 |
|---|---|---|
| logging_silent | 209 ns | 159 ns: 1.31x faster |
| deltablue | 7.93 ms | 6.31 ms: 1.26x faster |
| float | 127 ms | 103 ms: 1.24x faster |
| pathlib | 24.0 ms | 19.7 ms: 1.22x faster |
| django_template | 55.2 ms | 45.2 ms: 1.22x faster |
| logging_format | 10.4 us | 8.67 us: 1.20x faster |
| go | 236 ms | 198 ms: 1.20x faster |
| chaos | 121 ms | 102 ms: 1.19x faster |
| chameleon | 10.3 ms | 8.70 ms: 1.19x faster |
| 2to3 | 361 ms | 305 ms: 1.18x faster |
| hexiom | 11.3 ms | 9.54 ms: 1.18x faster |
| nbody | 154 ms | 130 ms: 1.18x faster |
| logging_simple | 9.23 us | 7.84 us: 1.18x faster |
| pyflate | 717 ms | 609 ms: 1.18x faster |
| pickle | 11.6 us | 9.98 us: 1.16x faster |
| pickle_pure_python | 501 us | 430 us: 1.16x faster |
| json_loads | 31.6 us | 27.2 us: 1.16x faster |
| crypto_pyaes | 131 ms | 113 ms: 1.15x faster |
| pickle_list | 5.03 us | 4.37 us: 1.15x faster |
| pidigits | 208 ms | 181 ms: 1.15x faster |
| dulwich_log | 100 ms | 87.2 ms: 1.15x faster |
| meteor_contest | 123 ms | 108 ms: 1.14x faster |
| mako | 15.9 ms | 14.0 ms: 1.14x faster |
| fannkuch | 549 ms | 486 ms: 1.13x faster |
| scimark_lu | 212 ms | 189 ms: 1.12x faster |
| raytrace | 502 ms | 448 ms: 1.12x faster |
| json_dumps | 14.2 ms | 12.8 ms: 1.11x faster |
| pickle_dict | 29.3 us | 26.7 us: 1.09x faster |
| python_startup | 9.38 ms | 8.59 ms: 1.09x faster |
| nqueens | 109 ms | 99.9 ms: 1.09x faster |
| richards | 81.8 ms | 75.4 ms: 1.09x faster |
| regex_compile | 199 ms | 185 ms: 1.08x faster |
| scimark_fft | 467 ms | 434 ms: 1.08x faster |
| regex_dna | 232 ms | 219 ms: 1.06x faster |
| python_startup_no_site | 6.17 ms | 5.89 ms: 1.05x faster |
| xml_etree_process | 78.0 ms | 74.5 ms: 1.05x faster |
| scimark_monte_carlo | 115 ms | 110 ms: 1.04x faster |
| regex_effbot | 3.61 ms | 3.52 ms: 1.03x faster |
| regex_v8 | 27.3 ms | 26.9 ms: 1.02x faster |
| sqlalchemy_imperative | 23.8 ms | 24.6 ms: 1.03x slower |
| scimark_sparse_mat_mult | 5.59 ms | 5.79 ms: 1.04x slower |
| sympy_expand | 578 ms | 609 ms: 1.06x slower |
| xml_etree_iterparse | 108 ms | 115 ms: 1.06x slower |
| sqlite_synth | 2.83 us | 3.00 us: 1.06x slower |
| sympy_sum | 199 ms | 213 ms: 1.07x slower |
| unpickle_pure_python | 304 us | 328 us: 1.08x slower |
| unpickle | 14.3 us | 15.6 us: 1.09x slower |
| sympy_str | 346 ms | 376 ms: 1.09x slower |
| sympy_integrate | 24.7 ms | 26.9 ms: 1.09x slower |
| tornado_http | 135 ms | 148 ms: 1.10x slower |
| xml_etree_parse | 152 ms | 167 ms: 1.10x slower |
| unpickle_list | 4.88 us | 5.45 us: 1.12x slower |
| unpack_sequence | 56.7 ns | 64.8 ns: 1.14x slower |
| telco | 6.44 ms | 7.42 ms: 1.15x slower |
| Geometric mean | (ref) | 1.07x faster |
Benchmark hidden because not significant (4): xml_etree_generate, scimark_sor, spectral_norm, sqlalchemy_declarative