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speed@python.org

October 2019

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Python 3.8 compared to Python 3.7
by Victor Stinner 10 Oct '19

10 Oct '19

I have been asked to update speed.python.org, so here are some data. I didn't look into the details. Python 3.8 compared to 3.7 (compare development branches): At least 10% difference: 10 faster, 3 slower haypo@speed-python$ PYTHONPATH=~/pyperf python3 -m pyperf compare_to /home/haypo/json/uploaded/2019-10-10_11-17-3.7-ca012360b103.json.gz /home/haypo/json/uploaded/2019-10-10_11-19-3.8-baf8a9b03a56.json.gz -G --min-speed=10 --table +-----------------------+-----------------------------------+-----------------------------------+ | Benchmark | 2019-10-10_11-17-3.7-ca012360b103 | 2019-10-10_11-19-3.8-baf8a9b03a56 | +=======================+===================================+===================================+ | sympy_expand | 1.07 sec | 843 ms: 1.27x faster (-22%) | +-----------------------+-----------------------------------+-----------------------------------+ | sympy_integrate | 45.6 ms | 37.1 ms: 1.23x faster (-19%) | +-----------------------+-----------------------------------+-----------------------------------+ | sympy_str | 651 ms | 540 ms: 1.21x faster (-17%) | +-----------------------+-----------------------------------+-----------------------------------+ | pickle_dict | 55.4 us | 46.3 us: 1.20x faster (-16%) | +-----------------------+-----------------------------------+-----------------------------------+ | unpickle_pure_python | 726 us | 618 us: 1.18x faster (-15%) | +-----------------------+-----------------------------------+-----------------------------------+ | sympy_sum | 369 ms | 315 ms: 1.17x faster (-15%) | +-----------------------+-----------------------------------+-----------------------------------+ | sqlalchemy_imperative | 73.0 ms | 64.3 ms: 1.14x faster (-12%) | +-----------------------+-----------------------------------+-----------------------------------+ | pickle | 23.1 us | 20.3 us: 1.14x faster (-12%) | +-----------------------+-----------------------------------+-----------------------------------+ | mako | 31.6 ms | 28.2 ms: 1.12x faster (-11%) | +-----------------------+-----------------------------------+-----------------------------------+ | django_template | 292 ms | 264 ms: 1.11x faster (-10%) | +-----------------------+-----------------------------------+-----------------------------------+ | nbody | 234 ms | 266 ms: 1.14x slower (+14%) | +-----------------------+-----------------------------------+-----------------------------------+ | scimark_fft | 640 ms | 730 ms: 1.14x slower (+14%) | +-----------------------+-----------------------------------+-----------------------------------+ | logging_silent | 316 ns | 391 ns: 1.24x slower (+24%) | +-----------------------+-----------------------------------+-----------------------------------+ More verbose, at least 5% difference: haypo@speed-python$ PYTHONPATH=~/pyperf python3 -m pyperf compare_to /home/haypo/json/uploaded/2019-10-10_11-17-3.7-ca012360b103.json.gz /home/haypo/json/uploaded/2019-10-10_11-19-3.8-baf8a9b03a56.json.gz -G --min-speed=5 --table +-------------------------+-----------------------------------+-----------------------------------+ | Benchmark | 2019-10-10_11-17-3.7-ca012360b103 | 2019-10-10_11-19-3.8-baf8a9b03a56 | +=========================+===================================+===================================+ | sympy_expand | 1.07 sec | 843 ms: 1.27x faster (-22%) | +-------------------------+-----------------------------------+-----------------------------------+ | sympy_integrate | 45.6 ms | 37.1 ms: 1.23x faster (-19%) | +-------------------------+-----------------------------------+-----------------------------------+ | sympy_str | 651 ms | 540 ms: 1.21x faster (-17%) | +-------------------------+-----------------------------------+-----------------------------------+ | pickle_dict | 55.4 us | 46.3 us: 1.20x faster (-16%) | +-------------------------+-----------------------------------+-----------------------------------+ | unpickle_pure_python | 726 us | 618 us: 1.18x faster (-15%) | +-------------------------+-----------------------------------+-----------------------------------+ | sympy_sum | 369 ms | 315 ms: 1.17x faster (-15%) | +-------------------------+-----------------------------------+-----------------------------------+ | sqlalchemy_imperative | 73.0 ms | 64.3 ms: 1.14x faster (-12%) | +-------------------------+-----------------------------------+-----------------------------------+ | pickle | 23.1 us | 20.3 us: 1.14x faster (-12%) | +-------------------------+-----------------------------------+-----------------------------------+ | mako | 31.6 ms | 28.2 ms: 1.12x faster (-11%) | +-------------------------+-----------------------------------+-----------------------------------+ | django_template | 292 ms | 264 ms: 1.11x faster (-10%) | +-------------------------+-----------------------------------+-----------------------------------+ | dulwich_log | 155 ms | 145 ms: 1.07x faster (-7%) | +-------------------------+-----------------------------------+-----------------------------------+ | regex_compile | 364 ms | 340 ms: 1.07x faster (-6%) | +-------------------------+-----------------------------------+-----------------------------------+ | xml_etree_iterparse | 189 ms | 178 ms: 1.06x faster (-5%) | +-------------------------+-----------------------------------+-----------------------------------+ | pickle_list | 7.24 us | 6.85 us: 1.06x faster (-5%) | +-------------------------+-----------------------------------+-----------------------------------+ | regex_effbot | 5.10 ms | 4.85 ms: 1.05x faster (-5%) | +-------------------------+-----------------------------------+-----------------------------------+ | scimark_monte_carlo | 200 ms | 211 ms: 1.05x slower (+5%) | +-------------------------+-----------------------------------+-----------------------------------+ | fannkuch | 883 ms | 932 ms: 1.06x slower (+6%) | +-------------------------+-----------------------------------+-----------------------------------+ | pyflate | 1.30 sec | 1.38 sec: 1.06x slower (+6%) | +-------------------------+-----------------------------------+-----------------------------------+ | chameleon | 20.9 ms | 22.2 ms: 1.06x slower (+6%) | +-------------------------+-----------------------------------+-----------------------------------+ | python_startup | 11.5 ms | 12.3 ms: 1.07x slower (+7%) | +-------------------------+-----------------------------------+-----------------------------------+ | spectral_norm | 247 ms | 265 ms: 1.07x slower (+7%) | +-------------------------+-----------------------------------+-----------------------------------+ | unpack_sequence | 114 ns | 122 ns: 1.08x slower (+8%) | +-------------------------+-----------------------------------+-----------------------------------+ | pickle_pure_python | 934 us | 1.02 ms: 1.09x slower (+9%) | +-------------------------+-----------------------------------+-----------------------------------+ | regex_dna | 271 ms | 295 ms: 1.09x slower (+9%) | +-------------------------+-----------------------------------+-----------------------------------+ | scimark_sparse_mat_mult | 8.61 ms | 9.38 ms: 1.09x slower (+9%) | +-------------------------+-----------------------------------+-----------------------------------+ | nbody | 234 ms | 266 ms: 1.14x slower (+14%) | +-------------------------+-----------------------------------+-----------------------------------+ | scimark_fft | 640 ms | 730 ms: 1.14x slower (+14%) | +-------------------------+-----------------------------------+-----------------------------------+ | logging_silent | 316 ns | 391 ns: 1.24x slower (+24%) | +-------------------------+-----------------------------------+-----------------------------------+ Victor -- Night gathers, and now my watch begins. It shall not end until my death.

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