Benchmark: Seedrandom browser

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/3.0.5/seedrandom.min.js" integrity="sha512-+Ru50BzEpZjlFzVnjSmJfYFPFfY2hS0Kjlu/IvqaJoux7maF5lJrRVUJWJ2LevPls7rd242GLbWEt+zAo4OVVQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/3.0.5/lib/alea.min.js" integrity="sha512-qdg0W1MJ7Tm0so0tniJeBgmMNS4dhgiUITVvbet4MG8WgyJhrBN7D60tYBFRX/miwUtMo2x9Ln0XuavTA0e6mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/3.0.5/lib/tychei.min.js" integrity="sha512-X+JqB/aryeXNyZ9BRD/nyEmwI5ksz4fKx8KeK//JGfJAg32Ulg4p5BiYQC0ZSxIPZ2cTTOHqBFM/YRZ7V2fhTA==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/3.0.5/lib/xor128.min.js" integrity="sha512-B2ng6iJaZXjJjE2BNQOkclIxgz3J2CFZksmErkh9O2853tVIGcaA8omayOJ6pLScE7X3E69L8RU4JWEVU/LWMg==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/3.0.5/lib/xor4096.min.js" integrity="sha512-DHg2KuUgiv5K7c92qHOTe7wZH/kARX0Ux+Wa110n0mYjEzbST+a1bSndHPwBkePAvaQ7rYX8Zq6Y8A05cI5Gvg==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/3.0.5/lib/xorshift7.min.js" integrity="sha512-YqdH2Tyucg3njU/OdpRn5orxvng9MVdBfC6iii5m8qPck9Wn1gEFjvZ1qIAx4zA7OMePCSQMUNWUFzNBZnjgNw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/3.0.5/lib/xorwow.min.js" integrity="sha512-6Vc18+kgr4pX88B0V5/2d+xRk+KcVewLVW4MZYWt/PtuDZxyfQzIgZAkZ4cZTsIDnU4zRov5YBXi9giH/Nce8g==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>

Script Preparation code:

function generateInt32() {
  return Math.floor(Math.random() * 0x80000000) | 0;
}
// init
arc4Gen = new Math.seedrandom("test");
aleaGen = alea("test");
tycheiGen = tychei("test");
xor128Gen = xor128("test");
xor4096Gen = xor4096("test");
xorshift7Gen = xorshift7("test");
xorwowGen = xorwow("test");

Tests:

Vanilla
for (let i = 0; i < 1000; i++) { const a = Math.random() + generateInt32(); }
arc4
for (let i = 0; i < 1000; i++) { const a = arc4Gen.double() + arc4Gen.int32(); }
alea
for (let i = 0; i < 1000; i++) { const a = aleaGen.double() + aleaGen.int32(); }
tychei
for (let i = 0; i < 1000; i++) { const a = tycheiGen.double() + tycheiGen.int32(); }
xor128
for (let i = 0; i < 1000; i++) { const a = xor128Gen.double() + xor128Gen.int32(); }
xor4096
for (let i = 0; i < 1000; i++) { const a = xor4096Gen.double() + xor4096Gen.int32(); }
xorshift7
for (let i = 0; i < 1000; i++) { const a = xorshift7Gen.double() + xorshift7Gen.int32(); }
xorwow
for (let i = 0; i < 1000; i++) { const a = xorwowGen.double() + xorwowGen.int32(); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Vanilla
arc4
alea
tychei
xor128
xor4096
xorshift7
xorwow

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/126.0.0.0 Safari/537.36

Browser/OS: Chrome 126 on Windows

View result in a separate tab

Test name	Executions per second
Vanilla	4855.7 Ops/sec
arc4	6605.2 Ops/sec
alea	7694.7 Ops/sec
tychei	7513.1 Ops/sec
xor128	7700.2 Ops/sec
xor4096	7960.8 Ops/sec
xorshift7	7634.7 Ops/sec
xorwow	7866.6 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Related benchmarks:

Seedrandom browser (version: 0)

Comparing performance of: Vanilla vs arc4 vs alea vs tychei vs xor128 vs xor4096 vs xorshift7 vs xorwow

Created: one year ago by: Guest

Jump to the latest result

Vanilla

arc4

alea

tychei

xor128

xor4096

xorshift7

xorwow

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):