Run results for: Mathjs Performance

Run details:

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36

Browser: Chrome 135

Operating system: Mac OS X 10.15.7

Device Platform: Desktop

Date tested: one year ago

Benchmark engine: Benchmark.js

Native inline

44K/s

Native Arrow

19K/s

Native Function

19K/s

Mathjs compile

568/s

Mathjs evaluate

95/s

View exact numbers

Test name	Executions per second
✓ Native inline	44,310 Ops/sec
Native Arrow	18,977 Ops/sec
Native Function	18,965 Ops/sec
Mathjs compile	568 Ops/sec
Mathjs evaluate	95 Ops/sec

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjs/12.2.0/math.min.js"></script>

Script Preparation code:

var nativearrow = (x, y, z) => x*x + y*y + z*z;
var nativefunc = new Function('x', 'y', 'z', 'return x*x + y*y + z*z')
var mathexpr = math.parse('x^2 + y^2 + z^2')
var mathcomp = mathexpr.compile()
var funcexpr = (x, y, z) => mathexpr.evaluate({x, y, z})
var funccomp = (x, y, z) => mathcomp.evaluate({x, y, z})
var N = 20

Tests:

Native Arrow
const out = [] for (let x = 0; x < N; x += 1) { for (let y = 0; y < N; y += 1) { for (let z = 0; z < N; z += 1) { out.push(nativearrow(x, y, z)) } } }
Native Function
const out = [] for (let x = 0; x < N; x += 1) { for (let y = 0; y < N; y += 1) { for (let z = 0; z < N; z += 1) { out.push(nativefunc(x, y, z)) } } }
Native inline
const out = [] for (let x = 0; x < N; x += 1) { for (let y = 0; y < N; y += 1) { for (let z = 0; z < N; z += 1) { out.push(x*x + y*y + z*z) } } }
Mathjs evaluate
const out = [] for (let x = 0; x < N; x += 1) { for (let y = 0; y < N; y += 1) { for (let z = 0; z < N; z += 1) { out.push(funcexpr(x, y, z)) } } }
Mathjs compile
const out = [] for (let x = 0; x < N; x += 1) { for (let y = 0; y < N; y += 1) { for (let z = 0; z < N; z += 1) { out.push(funccomp(x, y, z)) } } }