Benchmark: forEach vs reduce vs map vs filter vs for (slightly optimized for, fixed fn)

Script Preparation code:

var arr = [];
for (var i = 0; i < 12345; i++) {
  arr[i] = i;
}

function someFn(i) {
  return (i * 3 * 8 / 1200 * 0.002 / 40 * 0.2);
}

var sumForEach = 0,
  sumReduce = 0,
  sumMap = 0,
  sumFilter = 0,
  sumFor = 0;

Tests:

forEach
arr.forEach(item => sumForEach += someFn(item));
reduce
sumReduce = arr.reduce((lastValue, item) => { return sumReduce += someFn(item); });
map
arr.map(item => (sumMap += someFn(item)));
filter
arr.filter(item => (sumFilter += someFn(item)));
for
for (let j = 0, len = arr.length; j < len; j++) { sumFor += someFn(arr[j]); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
forEach
reduce
map
filter
for

Fastest: N/A

Slowest: N/A

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Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 11_2_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.128 Safari/537.36

Browser/OS: Chrome 89 on Mac OS X 11.2.2

View result in a separate tab

Test name	Executions per second
forEach	177.9 Ops/sec
reduce	176.5 Ops/sec
map	169.8 Ops/sec
filter	176.5 Ops/sec
for	130.3 Ops/sec

forEach vs reduce vs map vs filter vs for (slightly optimized for, fixed fn) (version: 0)

Comparing performance of: forEach vs reduce vs map vs filter vs for

Created: 3 years ago by: Guest

Jump to the latest result

forEach

reduce

map

filter

for

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A