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Lingua-rs: Instrumented compared to Release
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Running benches/benchmark.rs (target/x86_64-unknown-linux-gnu/release/deps/benchmark-8794d403276a2a52) | |
Benchmarking language models/preload all language models | |
Benchmarking language models/preload all language models: Warming up for 3.0000 s | |
Warning: Unable to complete 10 samples in 5.0s. You may wish to increase target time to 108.1s. | |
Benchmarking language models/preload all language models: Collecting 10 samples in estimated 108.11 s (10 iterations) | |
Benchmarking language models/preload all language models: Analyzing | |
language models/preload all language models | |
time: [10.626 s 11.189 s 11.780 s] | |
change: [+224.65% +244.02% +262.59%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Benchmarking Lingua with all languages in single thread/low accuracy mode | |
Benchmarking Lingua with all languages in single thread/low accuracy mode: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 58.0s, or reduce sample count to 10. | |
Benchmarking Lingua with all languages in single thread/low accuracy mode: Collecting 100 samples in estimated 58.004 s (100 iterations) | |
Benchmarking Lingua with all languages in single thread/low accuracy mode: Analyzing | |
Lingua with all languages in single thread/low accuracy mode | |
time: [576.79 ms 576.89 ms 577.00 ms] | |
change: [+96.263% +96.305% +96.346%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Benchmarking Lingua with all languages in single thread/high accuracy mode | |
Benchmarking Lingua with all languages in single thread/high accuracy mode: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 102.0s, or reduce sample count to 10. | |
Benchmarking Lingua with all languages in single thread/high accuracy mode: Collecting 100 samples in estimated 102.03 s (100 iterations) | |
Benchmarking Lingua with all languages in single thread/high accuracy mode: Analyzing | |
Lingua with all languages in single thread/high accuracy mode | |
time: [1.0092 s 1.0094 s 1.0095 s] | |
change: [+70.100% +70.144% +70.187%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Benchmarking Lingua with all languages in multiple threads/low accuracy mode | |
Benchmarking Lingua with all languages in multiple threads/low accuracy mode: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 119.0s, or reduce sample count to 10. | |
Benchmarking Lingua with all languages in multiple threads/low accuracy mode: Collecting 100 samples in estimated 119.00 s (100 iterations) | |
Benchmarking Lingua with all languages in multiple threads/low accuracy mode: Analyzing | |
Lingua with all languages in multiple threads/low accuracy mode | |
time: [1.1011 s 1.1022 s 1.1034 s] | |
change: [+5079.7% +5088.8% +5097.4%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 3 outliers among 100 measurements (3.00%) | |
1 (1.00%) low mild | |
2 (2.00%) high mild | |
Benchmarking Lingua with all languages in multiple threads/high accuracy mode | |
Benchmarking Lingua with all languages in multiple threads/high accuracy mode: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 198.3s, or reduce sample count to 10. | |
Benchmarking Lingua with all languages in multiple threads/high accuracy mode: Collecting 100 samples in estimated 198.35 s (100 iterations) | |
Benchmarking Lingua with all languages in multiple threads/high accuracy mode: Analyzing | |
Lingua with all languages in multiple threads/high accuracy mode | |
time: [1.9816 s 1.9828 s 1.9839 s] | |
change: [+4376.8% +4383.6% +4389.7%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 1 outliers among 100 measurements (1.00%) | |
1 (1.00%) low mild | |
Benchmarking Lingua with common languages in single thread/low accuracy mode | |
Benchmarking Lingua with common languages in single thread/low accuracy mode: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 31.5s, or reduce sample count to 10. | |
Benchmarking Lingua with common languages in single thread/low accuracy mode: Collecting 100 samples in estimated 31.476 s (100 iterations) | |
Benchmarking Lingua with common languages in single thread/low accuracy mode: Analyzing | |
Lingua with common languages in single thread/low accuracy mode | |
time: [313.72 ms 313.88 ms 314.16 ms] | |
change: [+117.23% +117.45% +117.73%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 9 outliers among 100 measurements (9.00%) | |
2 (2.00%) low mild | |
5 (5.00%) high mild | |
2 (2.00%) high severe | |
Benchmarking Lingua with common languages in single thread/high accuracy mode | |
Benchmarking Lingua with common languages in single thread/high accuracy mode: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 43.1s, or reduce sample count to 10. | |
Benchmarking Lingua with common languages in single thread/high accuracy mode: Collecting 100 samples in estimated 43.100 s (100 iterations) | |
Benchmarking Lingua with common languages in single thread/high accuracy mode: Analyzing | |
Lingua with common languages in single thread/high accuracy mode | |
time: [427.79 ms 427.90 ms 428.02 ms] | |
change: [+104.01% +104.48% +104.90%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Benchmarking Lingua with common languages in multiple threads/low accuracy mode | |
Benchmarking Lingua with common languages in multiple threads/low accuracy mode: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 78.0s, or reduce sample count to 10. | |
Benchmarking Lingua with common languages in multiple threads/low accuracy mode: Collecting 100 samples in estimated 78.001 s (100 iterations) | |
Benchmarking Lingua with common languages in multiple threads/low accuracy mode: Analyzing | |
Lingua with common languages in multiple threads/low accuracy mode | |
time: [781.03 ms 781.33 ms 781.62 ms] | |
change: [+7475.5% +7486.7% +7497.6%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 1 outliers among 100 measurements (1.00%) | |
1 (1.00%) low mild | |
Benchmarking Lingua with common languages in multiple threads/high accuracy mode | |
Benchmarking Lingua with common languages in multiple threads/high accuracy mode: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 87.4s, or reduce sample count to 10. | |
Benchmarking Lingua with common languages in multiple threads/high accuracy mode: Collecting 100 samples in estimated 87.371 s (100 iterations) | |
Benchmarking Lingua with common languages in multiple threads/high accuracy mode: Analyzing | |
Lingua with common languages in multiple threads/high accuracy mode | |
time: [874.49 ms 874.99 ms 875.61 ms] | |
change: [+5603.7% +5613.4% +5622.7%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 1 outliers among 100 measurements (1.00%) | |
1 (1.00%) high severe | |
Benchmarking Whichlang/in single thread | |
Benchmarking Whichlang/in single thread: Warming up for 3.0000 s | |
Benchmarking Whichlang/in single thread: Collecting 100 samples in estimated 5.0969 s (2500 iterations) | |
Benchmarking Whichlang/in single thread: Analyzing | |
Whichlang/in single thread | |
time: [2.0323 ms 2.0326 ms 2.0329 ms] | |
change: [+31.812% +31.886% +31.952%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 1 outliers among 100 measurements (1.00%) | |
1 (1.00%) high mild | |
Benchmarking Whichlang/in multiple threads | |
Benchmarking Whichlang/in multiple threads: Warming up for 3.0000 s | |
Benchmarking Whichlang/in multiple threads: Collecting 100 samples in estimated 5.4263 s (300 iterations) | |
Benchmarking Whichlang/in multiple threads: Analyzing | |
Whichlang/in multiple threads | |
time: [18.035 ms 18.048 ms 18.063 ms] | |
change: [+10364% +10376% +10387%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 2 outliers among 100 measurements (2.00%) | |
1 (1.00%) high mild | |
1 (1.00%) high severe | |
Benchmarking Whatlang with all languages/in single thread | |
Benchmarking Whatlang with all languages/in single thread: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 12.3s, or reduce sample count to 40. | |
Benchmarking Whatlang with all languages/in single thread: Collecting 100 samples in estimated 12.315 s (100 iterations) | |
Benchmarking Whatlang with all languages/in single thread: Analyzing | |
Whatlang with all languages/in single thread | |
time: [123.25 ms 123.34 ms 123.43 ms] | |
change: [+30.732% +30.871% +31.007%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Benchmarking Whatlang with all languages/in multiple threads | |
Benchmarking Whatlang with all languages/in multiple threads: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 85.5s, or reduce sample count to 10. | |
Benchmarking Whatlang with all languages/in multiple threads: Collecting 100 samples in estimated 85.507 s (100 iterations) | |
Benchmarking Whatlang with all languages/in multiple threads: Analyzing | |
Whatlang with all languages/in multiple threads | |
time: [855.13 ms 855.37 ms 855.59 ms] | |
change: [+14677% +14695% +14712%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 2 outliers among 100 measurements (2.00%) | |
1 (1.00%) low severe | |
1 (1.00%) low mild | |
Benchmarking Whatlang with common languages/in single thread | |
Benchmarking Whatlang with common languages/in single thread: Warming up for 3.0000 s | |
Benchmarking Whatlang with common languages/in single thread: Collecting 100 samples in estimated 9.9850 s (200 iterations) | |
Benchmarking Whatlang with common languages/in single thread: Analyzing | |
Whatlang with common languages/in single thread | |
time: [49.851 ms 49.873 ms 49.896 ms] | |
change: [+36.139% +36.233% +36.323%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 2 outliers among 100 measurements (2.00%) | |
2 (2.00%) high mild | |
Benchmarking Whatlang with common languages/in multiple threads | |
Benchmarking Whatlang with common languages/in multiple threads: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 24.3s, or reduce sample count to 20. | |
Benchmarking Whatlang with common languages/in multiple threads: Collecting 100 samples in estimated 24.319 s (100 iterations) | |
Benchmarking Whatlang with common languages/in multiple threads: Analyzing | |
Whatlang with common languages/in multiple threads | |
time: [243.40 ms 243.55 ms 243.73 ms] | |
change: [+10120% +10131% +10143%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 9 outliers among 100 measurements (9.00%) | |
5 (5.00%) low mild | |
4 (4.00%) high severe | |
Benchmarking CLD2/in single thread | |
Benchmarking CLD2/in single thread: Warming up for 3.0000 s | |
Benchmarking CLD2/in single thread: Collecting 100 samples in estimated 5.1001 s (800 iterations) | |
Benchmarking CLD2/in single thread: Analyzing | |
CLD2/in single thread time: [6.4041 ms 6.4061 ms 6.4082 ms] | |
change: [+3.5994% +3.6445% +3.6915%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 4 outliers among 100 measurements (4.00%) | |
2 (2.00%) low mild | |
2 (2.00%) high mild | |
Benchmarking CLD2/in multiple threads | |
Benchmarking CLD2/in multiple threads: Warming up for 3.0000 s | |
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 5.5s, enable flat sampling, or reduce sample count to 60. | |
Benchmarking CLD2/in multiple threads: Collecting 100 samples in estimated 5.4942 s (5050 iterations) | |
Benchmarking CLD2/in multiple threads: Analyzing | |
CLD2/in multiple threads | |
time: [1.0899 ms 1.0934 ms 1.0969 ms] | |
change: [+111.18% +112.41% +113.51%] (p = 0.00 < 0.05) | |
Performance has regressed. | |
Found 6 outliers among 100 measurements (6.00%) | |
2 (2.00%) low severe | |
1 (1.00%) low mild | |
1 (1.00%) high mild | |
2 (2.00%) high severe |
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