benchmark: adjust configuration for string-decoder bench

[RafaelGSS]

benchmark: adjust configuration for string-decoder bench

According to #59186 this benchmark file takes 6 hours to complete a full benchmark/compare.js script (60 runs in total) and these regression tests unrealitics to do between Node.js releases. By using calibrate-n scripts I could find a better N also ajusting some bench configs. e.g: avoid dead code elimination by V8.

Refs: #59186

Results from calibrate-n.js

Overall average CV: 3.57%
  ✓ Overall CV is below 5% and no configuration has CV above 10%
  → New best n: 400000 with average CV: 3.57%

✓ Found optimal n=400000 (Overall CV=3.57% < 5% and no configuration has CV > 10%)

Final CV for each configuration:
  {"n":400000,"chunkLen":16,"inLen":32,"encoding":"ascii"}: 5.11%
  {"n":400000,"chunkLen":256,"inLen":32,"encoding":"ascii"}: 7.24%
  {"n":400000,"chunkLen":1024,"inLen":32,"encoding":"ascii"}: 2.60%
  {"n":400000,"chunkLen":16,"inLen":128,"encoding":"ascii"}: 2.64%
  {"n":400000,"chunkLen":256,"inLen":128,"encoding":"ascii"}: 3.88%
  {"n":400000,"chunkLen":1024,"inLen":128,"encoding":"ascii"}: 3.33%
  {"n":400000,"chunkLen":16,"inLen":1024,"encoding":"ascii"}: 2.54%
  {"n":400000,"chunkLen":256,"inLen":1024,"encoding":"ascii"}: 5.85%
  {"n":400000,"chunkLen":1024,"inLen":1024,"encoding":"ascii"}: 4.53%
  {"n":400000,"chunkLen":16,"inLen":32,"encoding":"utf8"}: 3.51%
  {"n":400000,"chunkLen":256,"inLen":32,"encoding":"utf8"}: 4.27%
  {"n":400000,"chunkLen":1024,"inLen":32,"encoding":"utf8"}: 5.20%
  {"n":400000,"chunkLen":16,"inLen":128,"encoding":"utf8"}: 2.98%
  {"n":400000,"chunkLen":256,"inLen":128,"encoding":"utf8"}: 1.68%
  {"n":400000,"chunkLen":1024,"inLen":128,"encoding":"utf8"}: 2.14%
  {"n":400000,"chunkLen":16,"inLen":1024,"encoding":"utf8"}: 1.36%
  {"n":400000,"chunkLen":256,"inLen":1024,"encoding":"utf8"}: 1.15%
  {"n":400000,"chunkLen":1024,"inLen":1024,"encoding":"utf8"}: 1.12%
  {"n":400000,"chunkLen":16,"inLen":32,"encoding":"base64-utf8"}: 3.61%
  {"n":400000,"chunkLen":256,"inLen":32,"encoding":"base64-utf8"}: 3.86%
  {"n":400000,"chunkLen":1024,"inLen":32,"encoding":"base64-utf8"}: 4.45%
  {"n":400000,"chunkLen":16,"inLen":128,"encoding":"base64-utf8"}: 3.34%
  {"n":400000,"chunkLen":256,"inLen":128,"encoding":"base64-utf8"}: 4.50%
  {"n":400000,"chunkLen":1024,"inLen":128,"encoding":"base64-utf8"}: 5.32%
  {"n":400000,"chunkLen":16,"inLen":1024,"encoding":"base64-utf8"}: 1.65%
  {"n":400000,"chunkLen":256,"inLen":1024,"encoding":"base64-utf8"}: 2.55%
  {"n":400000,"chunkLen":1024,"inLen":1024,"encoding":"base64-utf8"}: 3.67%
  {"n":400000,"chunkLen":16,"inLen":32,"encoding":"base64-ascii"}: 5.55%
  {"n":400000,"chunkLen":256,"inLen":32,"encoding":"base64-ascii"}: 3.76%
  {"n":400000,"chunkLen":1024,"inLen":32,"encoding":"base64-ascii"}: 2.42%
  {"n":400000,"chunkLen":16,"inLen":128,"encoding":"base64-ascii"}: 2.14%
  {"n":400000,"chunkLen":256,"inLen":128,"encoding":"base64-ascii"}: 4.13%
  {"n":400000,"chunkLen":1024,"inLen":128,"encoding":"base64-ascii"}: 3.57%
  {"n":400000,"chunkLen":16,"inLen":1024,"encoding":"base64-ascii"}: 3.01%
  {"n":400000,"chunkLen":256,"inLen":1024,"encoding":"base64-ascii"}: 2.71%
  {"n":400000,"chunkLen":1024,"inLen":1024,"encoding":"base64-ascii"}: 3.61%
  {"n":400000,"chunkLen":16,"inLen":32,"encoding":"utf16le"}: 3.76%
  {"n":400000,"chunkLen":256,"inLen":32,"encoding":"utf16le"}: 5.35%
  {"n":400000,"chunkLen":1024,"inLen":32,"encoding":"utf16le"}: 7.25%
  {"n":400000,"chunkLen":16,"inLen":128,"encoding":"utf16le"}: 2.68%
  {"n":400000,"chunkLen":256,"inLen":128,"encoding":"utf16le"}: 5.67%
  {"n":400000,"chunkLen":1024,"inLen":128,"encoding":"utf16le"}: 4.26%
  {"n":400000,"chunkLen":16,"inLen":1024,"encoding":"utf16le"}: 1.32%
  {"n":400000,"chunkLen":256,"inLen":1024,"encoding":"utf16le"}: 2.69%
  {"n":400000,"chunkLen":1024,"inLen":1024,"encoding":"utf16le"}: 2.46%

[nodejs-github-bot]

Review requested:

• @nodejs/performance

[H4ad]

The "inLen" of 4096 was added at d23b7d2#diff-95e5dd48819eabf2c86b6b9c2341ea098bcf32dd2c9be1a23d1eea9dded83402R7-R17, I didn't find any reason to keep it, so LGTM.

Also, what's the new time to run this benchmark?

[RafaelGSS]

The "inLen" of 4096 was added at d23b7d2#diff-95e5dd48819eabf2c86b6b9c2341ea098bcf32dd2c9be1a23d1eea9dded83402R7-R17, I didn't find any reason to keep it, so LGTM.

Also, what's the new time to run this benchmark?

From 369063ms (6.15min) to 66000ms (1.06min)

[nodejs-github-bot]

Landed in daa9e4b