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Evaluate benchmark results
See original GitHub issueI’m running benchmarks on
MacBook-Pro-di-Loreto:fast-memoize.js loretoparisi$ node -v
v6.9.4
MacBook-Pro-di-Loreto:fast-memoize.js loretoparisi$ npm -v
3.10.10
MacBook-Pro-di-Loreto:fast-memoize.js loretoparisi$ sw_vers
ProductName: Mac OS X
ProductVersion: 10.12.2
BuildVersion: 16C67
My benchmarks are
┌──────────────────────┬────────────┬──────────────────────────┬─────────────┐
│ NAME │ OPS/SEC │ RELATIVE MARGIN OF ERROR │ SAMPLE SIZE │
├──────────────────────┼────────────┼──────────────────────────┼─────────────┤
│ iMemoized │ 17,932,713 │ ± 3.37% │ 76 │
├──────────────────────┼────────────┼──────────────────────────┼─────────────┤
│ lodash │ 8,396,854 │ ± 2.55% │ 80 │
├──────────────────────┼────────────┼──────────────────────────┼─────────────┤
│ fast-memoize@current │ 8,214,633 │ ± 1.99% │ 75 │
├──────────────────────┼────────────┼──────────────────────────┼─────────────┤
│ memoizee │ 7,386,302 │ ± 2.33% │ 83 │
├──────────────────────┼────────────┼──────────────────────────┼─────────────┤
│ underscore │ 6,429,656 │ ± 1.42% │ 82 │
├──────────────────────┼────────────┼──────────────────────────┼─────────────┤
│ ramda │ 332,289 │ ± 2.15% │ 79 │
├──────────────────────┼────────────┼──────────────────────────┼─────────────┤
│ vanilla │ 99,607 │ ± 2.81% │ 81 │
└──────────────────────┴────────────┴──────────────────────────┴─────────────┘
How to further improve fast-memoize on this machine?
Issue Analytics
- State:
- Created 7 years ago
- Comments:9 (6 by maintainers)
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Yes,
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