Benchmark: avgBy test - MeasureThat.net

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>

Script Preparation code:

var data = [];
for (let i = 0; i < 1000; i++) {
    data.push({ val1: Math.random() * 100, val2: Math.random() * 100 });
}

const avgBy = (fn, arr) =>
	arr.reduce((sum, obj) => sum + fn(obj), 0) / arr.length;

Tests:

using function
avgBy((obj) => obj.val1, data)
inline
avgBy(({val1}) => val1, data)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
using function
inline

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36

Browser/OS: Chrome 135 on Windows

View result in a separate tab

Test name	Executions per second
using function	895209.1 Ops/sec
inline	91754.2 Ops/sec

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Lodash sumBy vs reduce vs for loop
[2024] Lodash .sumBy vs. Reduce with / 1000
[2024] Lodash .sumBy vs. Reduce with / 10002
avgBy reduce vs map first
avgBy reduce vs inline

avgBy test (version: 1)

Comparing performance of: using function vs inline

Created: one year ago by: Guest

Jump to the latest result

using function

inline

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A