Python 3.11
The need for speed.. Python 3.11 is out and it's fast!
I let the benchmark churn away while reading mail and browsing the web so it might not have been optimal conditions.
+-------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.41x faster | +-------------------------+---------+-----------------------+
.',;::::;,'. roderik@genabackis
.';:cccccccccccc:;,. ------------------
.;cccccccccccccccccccccc;. OS: Fedora Linux 36 (Workstation Edition) x86_64
.:cccccccccccccccccccccccccc:. Host: XPS 15 9560
.;ccccccccccccc;.:dddl:.;ccccccc;. Kernel: 5.19.16-200.fc36.x86_64
.:ccccccccccccc;OWMKOOXMWd;ccccccc:. Uptime: 41 mins
.:ccccccccccccc;KMMc;cc;xMMc:ccccccc:. Packages: 2281 (rpm), 33 (flatpak)
,cccccccccccccc;MMM.;cc;;WW::cccccccc, Shell: zsh 5.8.1
:cccccccccccccc;MMM.;cccccccccccccccc: Resolution: 1920x1080
:ccccccc;oxOOOo;MMM0OOk.;cccccccccccc: DE: GNOME 42.5
cccccc:0MMKxdd:;MMMkddc.;cccccccccccc; WM: Mutter
ccccc:XM0';cccc;MMM.;cccccccccccccccc' WM Theme: Adwaita
ccccc;MMo;ccccc;MMW.;ccccccccccccccc; Theme: Adwaita [GTK2/3]
ccccc;0MNc.ccc.xMMd:ccccccccccccccc; Icons: Adwaita [GTK2/3]
cccccc;dNMWXXXWM0::cccccccccccccc:, Terminal: gnome-terminal
cccccccc;.:odl:.;cccccccccccccc:,. CPU: Intel i7-7700HQ (8) @ 3.800GHz
:cccccccccccccccccccccccccccc:'. GPU: NVIDIA GeForce GTX 1050 Mobile
.:cccccccccccccccccccccc:;,.. GPU: Intel HD Graphics 630
'::cccccccccccccc::;,. Memory: 5810MiB / 15833MiB
Pyperformance run in podman containers (thanks to towardsdatascience.com/python-is-about-to-b..)
$ podman run -t -d python:3.11
$ podman exec -it pedantic_bhaskara /bin/bash
$ python -m pip install pyperformance
$ pyperformance run -o py311.json
... and the same for python 3.10
The result:
+-------------------------+---------+-----------------------+
| Benchmark | py310 | py311-prime |
+=========================+=========+=======================+
| 2to3 | 365 ms | 279 ms: 1.31x faster |
+-------------------------+---------+-----------------------+
| chameleon | 9.92 ms | 6.99 ms: 1.42x faster |
+-------------------------+---------+-----------------------+
| chaos | 119 ms | 71.6 ms: 1.66x faster |
+-------------------------+---------+-----------------------+
| crypto_pyaes | 137 ms | 76.8 ms: 1.78x faster |
+-------------------------+---------+-----------------------+
| deltablue | 8.79 ms | 4.00 ms: 2.20x faster |
+-------------------------+---------+-----------------------+
| django_template | 56.2 ms | 35.4 ms: 1.59x faster |
+-------------------------+---------+-----------------------+
| dulwich_log | 110 ms | 84.7 ms: 1.30x faster |
+-------------------------+---------+-----------------------+
| fannkuch | 539 ms | 407 ms: 1.32x faster |
+-------------------------+---------+-----------------------+
| float | 121 ms | 83.1 ms: 1.45x faster |
+-------------------------+---------+-----------------------+
| genshi_text | 31.4 ms | 22.9 ms: 1.37x faster |
+-------------------------+---------+-----------------------+
| genshi_xml | 71.3 ms | 55.4 ms: 1.29x faster |
+-------------------------+---------+-----------------------+
| go | 246 ms | 143 ms: 1.72x faster |
+-------------------------+---------+-----------------------+
| hexiom | 9.72 ms | 7.38 ms: 1.32x faster |
+-------------------------+---------+-----------------------+
| html5lib | 96.9 ms | 68.5 ms: 1.42x faster |
+-------------------------+---------+-----------------------+
| json_dumps | 16.1 ms | 13.0 ms: 1.24x faster |
+-------------------------+---------+-----------------------+
| json_loads | 29.8 us | 25.7 us: 1.16x faster |
+-------------------------+---------+-----------------------+
| logging_format | 10.6 us | 7.59 us: 1.40x faster |
+-------------------------+---------+-----------------------+
| logging_silent | 177 ns | 103 ns: 1.72x faster |
+-------------------------+---------+-----------------------+
| logging_simple | 9.58 us | 6.87 us: 1.39x faster |
+-------------------------+---------+-----------------------+
| mako | 17.2 ms | 11.8 ms: 1.46x faster |
+-------------------------+---------+-----------------------+
| meteor_contest | 120 ms | 109 ms: 1.10x faster |
+-------------------------+---------+-----------------------+
| nbody | 139 ms | 98.5 ms: 1.41x faster |
+-------------------------+---------+-----------------------+
| nqueens | 110 ms | 90.3 ms: 1.22x faster |
+-------------------------+---------+-----------------------+
| pathlib | 27.6 ms | 25.7 ms: 1.08x faster |
+-------------------------+---------+-----------------------+
| pickle | 11.3 us | 10.7 us: 1.06x faster |
+-------------------------+---------+-----------------------+
| pickle_dict | 31.1 us | 30.5 us: 1.02x faster |
+-------------------------+---------+-----------------------+
| pickle_list | 4.77 us | 4.01 us: 1.19x faster |
+-------------------------+---------+-----------------------+
| pickle_pure_python | 474 us | 315 us: 1.50x faster |
+-------------------------+---------+-----------------------+
| pidigits | 202 ms | 196 ms: 1.03x faster |
+-------------------------+---------+-----------------------+
| pyflate | 703 ms | 444 ms: 1.58x faster |
+-------------------------+---------+-----------------------+
| python_startup | 12.5 ms | 11.2 ms: 1.12x faster |
+-------------------------+---------+-----------------------+
| python_startup_no_site | 8.20 ms | 8.44 ms: 1.03x slower |
+-------------------------+---------+-----------------------+
| raytrace | 607 ms | 306 ms: 1.99x faster |
+-------------------------+---------+-----------------------+
| regex_compile | 229 ms | 142 ms: 1.61x faster |
+-------------------------+---------+-----------------------+
| regex_dna | 262 ms | 199 ms: 1.32x faster |
+-------------------------+---------+-----------------------+
| regex_effbot | 3.89 ms | 3.35 ms: 1.16x faster |
+-------------------------+---------+-----------------------+
| regex_v8 | 29.9 ms | 22.8 ms: 1.31x faster |
+-------------------------+---------+-----------------------+
| richards | 89.8 ms | 46.3 ms: 1.94x faster |
+-------------------------+---------+-----------------------+
| scimark_fft | 483 ms | 315 ms: 1.53x faster |
+-------------------------+---------+-----------------------+
| scimark_lu | 195 ms | 117 ms: 1.67x faster |
+-------------------------+---------+-----------------------+
| scimark_monte_carlo | 124 ms | 67.1 ms: 1.85x faster |
+-------------------------+---------+-----------------------+
| scimark_sor | 238 ms | 120 ms: 1.99x faster |
+-------------------------+---------+-----------------------+
| scimark_sparse_mat_mult | 6.27 ms | 4.66 ms: 1.35x faster |
+-------------------------+---------+-----------------------+
| spectral_norm | 177 ms | 102 ms: 1.73x faster |
+-------------------------+---------+-----------------------+
| sqlalchemy_declarative | 229 ms | 147 ms: 1.56x faster |
+-------------------------+---------+-----------------------+
| sqlalchemy_imperative | 34.1 ms | 21.0 ms: 1.63x faster |
+-------------------------+---------+-----------------------+
| sqlite_synth | 3.80 us | 2.61 us: 1.45x faster |
+-------------------------+---------+-----------------------+
| sympy_expand | 721 ms | 503 ms: 1.43x faster |
+-------------------------+---------+-----------------------+
| sympy_integrate | 32.0 ms | 22.4 ms: 1.43x faster |
+-------------------------+---------+-----------------------+
| sympy_sum | 256 ms | 187 ms: 1.37x faster |
+-------------------------+---------+-----------------------+
| sympy_str | 429 ms | 311 ms: 1.38x faster |
+-------------------------+---------+-----------------------+
| telco | 7.69 ms | 6.60 ms: 1.16x faster |
+-------------------------+---------+-----------------------+
| tornado_http | 233 ms | 156 ms: 1.49x faster |
+-------------------------+---------+-----------------------+
| unpack_sequence | 64.5 ns | 42.8 ns: 1.51x faster |
+-------------------------+---------+-----------------------+
| unpickle | 16.5 us | 14.2 us: 1.16x faster |
+-------------------------+---------+-----------------------+
| unpickle_list | 5.83 us | 5.07 us: 1.15x faster |
+-------------------------+---------+-----------------------+
| unpickle_pure_python | 388 us | 236 us: 1.64x faster |
+-------------------------+---------+-----------------------+
| xml_etree_parse | 219 ms | 164 ms: 1.33x faster |
+-------------------------+---------+-----------------------+
| xml_etree_iterparse | 152 ms | 111 ms: 1.37x faster |
+-------------------------+---------+-----------------------+
| xml_etree_generate | 120 ms | 85.1 ms: 1.41x faster |
+-------------------------+---------+-----------------------+
| xml_etree_process | 95.7 ms | 59.3 ms: 1.61x faster |
+-------------------------+---------+-----------------------+
| Geometric mean | (ref) | 1.41x faster |
+-------------------------+---------+-----------------------+
Impressive results.