fork: python
ref: a19bb261a327e1008f21
machine: linux-x86_64
commit hash: a19bb26
commit date: 2024-06-15
overall geometric mean: 1.05x faster
HPT reliability: 98.94%
HPT 99th percentile: 1.00x faster
Memory change: 1.14x
Benchmarks with tag 'apps':
Benchmark
bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509
bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26
2to3
287 ms
309 ms: 1.08x slower
chameleon
7.92 ms
7.81 ms: 1.01x faster
docutils
2.85 sec
3.16 sec: 1.11x slower
html5lib
72.2 ms
74.7 ms: 1.03x slower
Geometric mean
(ref)
1.04x slower
Benchmark hidden because not significant (1): tornado_http
Benchmarks with tag 'asyncio':
Benchmark
bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509
bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26
async_tree_memoization
629 ms
454 ms: 1.39x faster
async_tree_none
518 ms
378 ms: 1.37x faster
async_tree_memoization_tg
600 ms
443 ms: 1.35x faster
async_tree_none_tg
474 ms
350 ms: 1.35x faster
async_tree_io_tg
1.15 sec
853 ms: 1.35x faster
async_tree_io
1.17 sec
882 ms: 1.33x faster
async_tree_cpu_io_mixed_tg
750 ms
594 ms: 1.26x faster
async_tree_cpu_io_mixed
753 ms
634 ms: 1.19x faster
Geometric mean
(ref)
1.32x faster
Benchmarks with tag 'math':
Benchmark
bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509
bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26
nbody
92.9 ms
81.0 ms: 1.15x faster
float
74.9 ms
74.5 ms: 1.01x faster
pidigits
251 ms
253 ms: 1.01x slower
Geometric mean
(ref)
1.05x faster
Benchmarks with tag 'regex':
Benchmark
bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509
bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26
regex_compile
156 ms
142 ms: 1.10x faster
regex_effbot
3.34 ms
3.47 ms: 1.04x slower
regex_v8
24.4 ms
25.5 ms: 1.04x slower
regex_dna
227 ms
242 ms: 1.07x slower
Geometric mean
(ref)
1.01x slower
Benchmarks with tag 'serialize':
Benchmark
bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509
bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26
json_dumps
13.3 ms
10.5 ms: 1.27x faster
json_loads
28.9 us
24.6 us: 1.18x faster
unpickle_pure_python
238 us
220 us: 1.08x faster
xml_etree_parse
155 ms
143 ms: 1.08x faster
xml_etree_iterparse
107 ms
99.4 ms: 1.07x faster
tomli_loads
2.25 sec
2.10 sec: 1.07x faster
pickle_pure_python
316 us
320 us: 1.01x slower
pickle_dict
32.3 us
33.4 us: 1.03x slower
unpickle_list
4.60 us
4.79 us: 1.04x slower
xml_etree_generate
79.7 ms
83.7 ms: 1.05x slower
xml_etree_process
55.9 ms
59.4 ms: 1.06x slower
pickle
9.89 us
10.9 us: 1.10x slower
unpickle
13.3 us
15.0 us: 1.13x slower
pickle_list
3.94 us
4.58 us: 1.16x slower
Geometric mean
(ref)
1.01x faster
Benchmarks with tag 'startup':
Benchmark
bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509
bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26
python_startup_no_site
7.73 ms
9.55 ms: 1.24x slower
python_startup
10.7 ms
14.0 ms: 1.30x slower
Geometric mean
(ref)
1.27x slower
Benchmarks with tag 'template':
Benchmark
bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509
bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26
mako
11.0 ms
9.14 ms: 1.20x faster
django_template
39.3 ms
41.6 ms: 1.06x slower
genshi_xml
57.1 ms
64.0 ms: 1.12x slower
genshi_text
25.5 ms
28.7 ms: 1.13x slower
Geometric mean
(ref)
1.03x slower
Benchmark
bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509
bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26
typing_runtime_protocols
532 us
184 us: 2.89x faster
asyncio_tcp
747 ms
380 ms: 1.97x faster
asyncio_tcp_ssl
3.07 sec
1.58 sec: 1.94x faster
generators
54.6 ms
35.4 ms: 1.54x faster
async_tree_memoization
629 ms
454 ms: 1.39x faster
comprehensions
25.1 us
18.1 us: 1.38x faster
async_tree_none
518 ms
378 ms: 1.37x faster
async_tree_memoization_tg
600 ms
443 ms: 1.35x faster
async_tree_none_tg
474 ms
350 ms: 1.35x faster
async_tree_io_tg
1.15 sec
853 ms: 1.35x faster
pylint
514 ms
382 ms: 1.34x faster
async_tree_io
1.17 sec
882 ms: 1.33x faster
coroutines
27.8 ms
21.7 ms: 1.28x faster
json_dumps
13.3 ms
10.5 ms: 1.27x faster
async_tree_cpu_io_mixed_tg
750 ms
594 ms: 1.26x faster
fannkuch
416 ms
340 ms: 1.22x faster
mako
11.0 ms
9.14 ms: 1.20x faster
richards_super
63.6 ms
53.1 ms: 1.20x faster
async_tree_cpu_io_mixed
753 ms
634 ms: 1.19x faster
crypto_pyaes
83.3 ms
70.5 ms: 1.18x faster
json_loads
28.9 us
24.6 us: 1.18x faster
chaos
74.9 ms
64.3 ms: 1.17x faster
spectral_norm
95.1 ms
82.5 ms: 1.15x faster
nbody
92.9 ms
81.0 ms: 1.15x faster
logging_simple
7.24 us
6.54 us: 1.11x faster
sympy_sum
186 ms
169 ms: 1.10x faster
regex_compile
156 ms
142 ms: 1.10x faster
logging_format
7.71 us
7.11 us: 1.08x faster
unpickle_pure_python
238 us
220 us: 1.08x faster
pathlib
18.9 ms
17.5 ms: 1.08x faster
raytrace
309 ms
287 ms: 1.08x faster
mdp
2.77 sec
2.57 sec: 1.08x faster
xml_etree_parse
155 ms
143 ms: 1.08x faster
xml_etree_iterparse
107 ms
99.4 ms: 1.07x faster
tomli_loads
2.25 sec
2.10 sec: 1.07x faster
richards
49.7 ms
46.4 ms: 1.07x faster
sqlglot_parse
1.51 ms
1.43 ms: 1.06x faster
sympy_str
337 ms
318 ms: 1.06x faster
nqueens
103 ms
96.8 ms: 1.06x faster
scimark_monte_carlo
69.8 ms
66.0 ms: 1.06x faster
deltablue
3.97 ms
3.76 ms: 1.06x faster
bench_thread_pool
1.00 ms
952 us: 1.05x faster
pycparser
1.31 sec
1.25 sec: 1.04x faster
sqlglot_transpile
1.91 ms
1.84 ms: 1.04x faster
json
5.58 ms
5.38 ms: 1.04x faster
hexiom
6.98 ms
6.77 ms: 1.03x faster
sympy_expand
553 ms
539 ms: 1.03x faster
pyflate
449 ms
441 ms: 1.02x faster
pprint_pformat
1.67 sec
1.64 sec: 1.02x faster
chameleon
7.92 ms
7.81 ms: 1.01x faster
deepcopy_memo
37.5 us
37.1 us: 1.01x faster
float
74.9 ms
74.5 ms: 1.01x faster
pidigits
251 ms
253 ms: 1.01x slower
sympy_integrate
25.8 ms
26.0 ms: 1.01x slower
pickle_pure_python
316 us
320 us: 1.01x slower
meteor_contest
131 ms
133 ms: 1.02x slower
pickle_dict
32.3 us
33.4 us: 1.03x slower
html5lib
72.2 ms
74.7 ms: 1.03x slower
scimark_fft
281 ms
291 ms: 1.04x slower
regex_effbot
3.34 ms
3.47 ms: 1.04x slower
unpickle_list
4.60 us
4.79 us: 1.04x slower
regex_v8
24.4 ms
25.5 ms: 1.04x slower
go
158 ms
165 ms: 1.04x slower
xml_etree_generate
79.7 ms
83.7 ms: 1.05x slower
django_template
39.3 ms
41.6 ms: 1.06x slower
xml_etree_process
55.9 ms
59.4 ms: 1.06x slower
regex_dna
227 ms
242 ms: 1.07x slower
sqlglot_normalize
122 ms
130 ms: 1.07x slower
2to3
287 ms
309 ms: 1.08x slower
deepcopy
391 us
423 us: 1.08x slower
deepcopy_reduce
3.40 us
3.68 us: 1.08x slower
sqlglot_optimize
59.0 ms
64.2 ms: 1.09x slower
pickle
9.89 us
10.9 us: 1.10x slower
sqlite_synth
2.52 us
2.77 us: 1.10x slower
docutils
2.85 sec
3.16 sec: 1.11x slower
scimark_lu
114 ms
127 ms: 1.11x slower
genshi_xml
57.1 ms
64.0 ms: 1.12x slower
unpickle
13.3 us
15.0 us: 1.13x slower
genshi_text
25.5 ms
28.7 ms: 1.13x slower
mypy2
762 ms
864 ms: 1.13x slower
pickle_list
3.94 us
4.58 us: 1.16x slower
gc_traversal
4.15 ms
4.83 ms: 1.16x slower
async_generators
322 ms
384 ms: 1.20x slower
gunicorn
966 us
1.16 ms: 1.20x slower
aiohttp
986 us
1.18 ms: 1.20x slower
telco
6.81 ms
8.29 ms: 1.22x slower
coverage
66.1 ms
80.9 ms: 1.22x slower
python_startup_no_site
7.73 ms
9.55 ms: 1.24x slower
scimark_sor
110 ms
136 ms: 1.24x slower
logging_silent
100 ns
124 ns: 1.24x slower
create_gc_cycles
1.58 ms
1.98 ms: 1.25x slower
flaskblogging
3.88 ms
4.94 ms: 1.27x slower
python_startup
10.7 ms
14.0 ms: 1.30x slower
Geometric mean
(ref)
1.05x faster
Benchmark hidden because not significant (8): tornado_http, dask, pprint_safe_repr, scimark_sparse_mat_mult, asyncio_websockets, thrift, dulwich_log, bench_mp_pool
Ignored benchmarks (3) of results/bm-20221024-3.11.0-deaf509/bm-20221024-pythonperf2-x86_64-python-v3.11.0-3.11.0-deaf509.json: sqlalchemy_declarative, sqlalchemy_imperative, unpack_sequence
Ignored benchmarks (1) of results/bm-20240615-3.13.0b2+-a19bb26-JIT/bm-20240615-pythonperf2-x86_64-python-a19bb261a327e1008f21-3.13.0b2+-a19bb26.json: bpe_tokeniser
Reliability score: 98.94% likely to be faster
90% likely to have a speedup of 1.01x
95% likely to have a speedup of 1.00x
99% likely to have a speedup of 1.00x