Benchmark: Effect of function calls in loops

Script Preparation code:

var N = 10000;
var xs = Array.from(Array(N).keys())
var ys = xs.map((x) => (x + 3) * 0.89 - 16)
var res = Array(N)

function normalFunction(a, b) {
    return Math.sqrt(a ** 2 + b ** 2)
}

var arrowFunction = (a, b) => Math.sqrt(a ** 2 + b ** 2);

Tests:

No function
for (let i = 0; i < N; i++) { res[i] = Math.sqrt(xs[i]**2 + ys[i]**2) }
With normal function
for (let i = 0; i < N; i++) { res[i] = normalFunction(xs[i], ys[i]) }
With arrow function
for (let i = 0; i < N; i++) { res[i] = arrowFunction(xs[i], ys[i]) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
No function
With normal function
With arrow function

Fastest: N/A

Slowest: N/A

ⓘ Get performance results from real users on your website with Request Metrics.

Website Performance Monitoring by Request Metrics

Latest run results:

Run details: (Test run date: 9 months ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36

Browser/OS: Chrome 115 on Linux

View result in a separate tab

Test name	Executions per second
No function	221.7 Ops/sec
With normal function	192.3 Ops/sec
With arrow function	193.4 Ops/sec

Effect of function calls in loops (version: 0)

Comparing performance of: No function vs With normal function vs With arrow function

Created: 9 months ago by: Guest

Jump to the latest result

No function

With normal function

With arrow function

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A