Performance version: 1.0.2
Report on Windows-10-10.0.19043-SP0

> pyperf compare_to 310a7.json 310rc2.json -G --min-speed=2
Slower (43):
- unpack_sequence: 87.5 ns +- 3.8 ns -> 112 ns +- 8 ns: 1.28x slower
- richards: 104 ms +- 6 ms -> 132 ms +- 6 ms: 1.27x slower
- nbody: 215 ms +- 7 ms -> 265 ms +- 5 ms: 1.23x slower
- pickle_pure_python: 643 us +- 20 us -> 777 us +- 25 us: 1.21x slower
- unpickle_pure_python: 446 us +- 11 us -> 533 us +- 23 us: 1.19x slower
- deltablue: 10.6 ms +- 0.5 ms -> 12.6 ms +- 0.5 ms: 1.19x slower
- logging_silent: 250 ns +- 7 ns -> 297 ns +- 11 ns: 1.19x slower
- logging_simple: 16.1 us +- 0.2 us -> 19.0 us +- 0.3 us: 1.19x slower
- raytrace: 716 ms +- 40 ms -> 848 ms +- 45 ms: 1.18x slower
- go: 332 ms +- 6 ms -> 392 ms +- 5 ms: 1.18x slower
- chaos: 159 ms +- 13 ms -> 187 ms +- 4 ms: 1.18x slower
- spectral_norm: 222 ms +- 5 ms -> 259 ms +- 4 ms: 1.17x slower
- chameleon: 14.2 ms +- 0.3 ms -> 16.4 ms +- 0.3 ms: 1.16x slower
- scimark_monte_carlo: 157 ms +- 4 ms -> 181 ms +- 5 ms: 1.16x slower
- pyflate: 963 ms +- 10 ms -> 1.11 sec +- 0.02 sec: 1.15x slower
- scimark_fft: 602 ms +- 13 ms -> 693 ms +- 12 ms: 1.15x slower
- logging_format: 17.8 us +- 0.3 us -> 20.3 us +- 0.3 us: 1.14x slower
- scimark_sor: 297 ms +- 27 ms -> 339 ms +- 5 ms: 1.14x slower
- crypto_pyaes: 163 ms +- 1 ms -> 186 ms +- 1 ms: 1.14x slower
- django_template: 71.3 ms +- 1.1 ms -> 81.0 ms +- 1.4 ms: 1.14x slower
- hexiom: 14.0 ms +- 0.3 ms -> 15.7 ms +- 0.3 ms: 1.13x slower
- mako: 23.3 ms +- 0.2 ms -> 26.0 ms +- 0.2 ms: 1.11x slower
- nqueens: 155 ms +- 3 ms -> 172 ms +- 3 ms: 1.11x slower
- xml_etree_process: 112 ms +- 1 ms -> 124 ms +- 1 ms: 1.11x slower
- xml_etree_generate: 145 ms +- 3 ms -> 159 ms +- 4 ms: 1.10x slower
- float: 176 ms +- 3 ms -> 193 ms +- 1 ms: 1.09x slower
- scimark_lu: 251 ms +- 15 ms -> 273 ms +- 14 ms: 1.09x slower
- xml_etree_parse: 218 ms +- 3 ms -> 236 ms +- 3 ms: 1.08x slower
- fannkuch: 744 ms +- 78 ms -> 804 ms +- 29 ms: 1.08x slower
- regex_compile: 257 ms +- 16 ms -> 278 ms +- 3 ms: 1.08x slower
- xml_etree_iterparse: 158 ms +- 2 ms -> 170 ms +- 2 ms: 1.08x slower
- 2to3: 622 ms +- 5 ms -> 661 ms +- 5 ms: 1.06x slower
- scimark_sparse_mat_mult: 7.64 ms +- 0.37 ms -> 8.10 ms +- 0.26 ms: 1.06x slower
- meteor_contest: 164 ms +- 2 ms -> 173 ms +- 3 ms: 1.06x slower
- telco: 10.3 ms +- 0.2 ms -> 10.9 ms +- 0.4 ms: 1.06x slower
- sympy_expand: 802 ms +- 16 ms -> 845 ms +- 5 ms: 1.05x slower
- sqlalchemy_imperative: 34.5 ms +- 0.9 ms -> 36.3 ms +- 1.1 ms: 1.05x slower
- json_dumps: 19.2 ms +- 0.2 ms -> 20.1 ms +- 0.3 ms: 1.05x slower
- sympy_str: 493 ms +- 10 ms -> 514 ms +- 4 ms: 1.04x slower
- sqlalchemy_declarative: 253 ms +- 4 ms -> 263 ms +- 4 ms: 1.04x slower
- tornado_http: 261 ms +- 3 ms -> 270 ms +- 4 ms: 1.03x slower
- regex_effbot: 4.69 ms +- 0.38 ms -> 4.83 ms +- 0.11 ms: 1.03x slower
- pathlib: 255 ms +- 6 ms -> 263 ms +- 2 ms: 1.03x slower

Faster (1):
- regex_dna: 286 ms +- 8 ms -> 278 ms +- 7 ms: 1.03x faster

Benchmark hidden because not significant (14): dulwich_log, json_loads, pickle, pickle_dict, pickle_list, pidigits, python_startup, python_startup_no_site, regex_v8, sqlite_synth, sympy_integrate, sympy_sum, unpickle, unpickle_list

Geometric mean: 1.09x slower


# RESULTS STABILITY CHECK

> pyperf check 310a7.json

fannkuch
--------

WARNING: the benchmark result may be unstable
* the standard deviation (77.7 ms) is 10% of the mean (744 ms)

Try to rerun the benchmark with more runs, values and/or loops.
Run 'python.exe -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.

python_startup
--------------

WARNING: the benchmark result may be unstable
* the maximum (76.1 ms) is 57% greater than the mean (48.6 ms)

Try to rerun the benchmark with more runs, values and/or loops.
Run 'python.exe -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.

python_startup_no_site
----------------------

WARNING: the benchmark result may be unstable
* the maximum (66.7 ms) is 91% greater than the mean (34.9 ms)

Try to rerun the benchmark with more runs, values and/or loops.
Run 'python.exe -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.

sympy_integrate
---------------

WARNING: the benchmark result may be unstable
* the standard deviation (4.99 ms) is 13% of the mean (37.9 ms)
* the maximum (57.6 ms) is 52% greater than the mean (37.9 ms)


> pyperf check 310rc2.json
python_startup_no_site
----------------------

WARNING: the benchmark result may be unstable
* the maximum (64.8 ms) is 83% greater than the mean (35.5 ms)

Try to rerun the benchmark with more runs, values and/or loops.
Run 'python.exe -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.