Run results for: My: Object.entries vs For In

Run details:

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36

Browser: Chrome 126

Operating system: Linux

Device Platform: Desktop

Date tested: one month ago

Test name	Executions per second
N: 1000 Object.entries	2310.4 Ops/sec
N: 10000 Object.entries	187.5 Ops/sec
N: 1000 For In	2796.6 Ops/sec
N: 10000 For In	242.2 Ops/sec
N: 100000 Object.entries	12.9 Ops/sec
N: 100000 For In	20.9 Ops/sec

Script Preparation code:

var ns = [1000, 10000, 100000];
var results = Array(ns.length); // 1.000 -> 10.000 -> 100.000 -> 1.000.000 -> 10.000.000
ns.forEach((n, i) => {
    results[i] = [...Array(n).keys()].reduce((acc, c) => {
        acc['k_' + String(c).padStart(10, '0')] = Math.random();
        return acc;
    }, {});
});
let sum = 0;

Tests:

N: 1000 Object.entries
sum = 0; Object.entries(results[0]).forEach(([k, v]) => sum += results[0][k]);
N: 10000 Object.entries
sum = 0; Object.entries(results[1]).forEach(([k, v]) => sum += results[1][k]);
N: 1000 For In
sum = 0; for (const k in results[0]) { sum += results[0][k] }
N: 10000 For In
sum = 0; for (const k in results[1]) { sum += results[1][k] }
N: 100000 Object.entries
sum = 0; Object.entries(results[2]).forEach(([k, v]) => sum += results[2][k]);
N: 100000 For In
sum = 0; for (const k in results[2]) { sum += results[2][k] }

Run results for: My: Object.entries vs For In

N: 1000 Object.entries

N: 10000 Object.entries

N: 1000 For In

N: 10000 For In

N: 100000 Object.entries

N: 100000 For In