Benchmark: array vs float32array performance test2

Script Preparation code:

function getRandomInt(max) {
    return Math.floor(Math.random() * max);
}

var a = [...new Array(10000)].map(_ => getRandomInt(1000000));
var ta = (new Float64Array(10000)).map(_ => getRandomInt(1000000));

Tests:

array sort
a.sort();
typedArray sort
ta.sort();
array i/o
for (let i = 0; i < 10000; ++i) { a[i] = a[i] + 1; }
typedArray i/o
for (let i = 0; i < 10000; ++i) { ta[i] = ta[i] + 1; }
typedArray i/o w convert back to array
for (let i = 0; i < 10000; ++i) { ta[i] = ta[i] + 1; } let tb = Array.from(ta);
create arrays
const a = []; for (let i = 0; i < 10000; ++i) { a.push([i]); }
create typed arrays
const a = []; for (let i = 0; i < 10000; ++i) { a.push(new Float32Array([i])); }
create typed arrays in typed array
const a = new Float32Array(10000); for (let i = 0; i < 10000; ++i) { a[i] = new Float32Array([i]); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
array sort
typedArray sort
array i/o
typedArray i/o
typedArray i/o w convert back to array
create arrays
create typed arrays
create typed arrays in typed array

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

I'd be happy to help you understand the provided benchmark.

**Benchmark Overview**

The benchmark tests the performance of JavaScript arrays and Typed Arrays (Float32Arrays) in various operations such as sorting, input/output, creating arrays, and converting between arrays and Typed Arrays. The goal is to compare the performance differences between these two data structures.

**Options Compared**

There are four main options compared:

1. **Array**: An untyped array, which means it can store any type of value.
2. **Typed Array (Float32Array)**: A typed array that stores only 32-bit floating-point numbers.
3. **Create Arrays**: Creating arrays using `new Float32Array()` or `new Array()`.
4. **Typed Array in Typed Array**: Creating a new Float32Array within an existing Float32Array.

**Pros and Cons of Each Approach**

1. **Array**:
	* Pros: Easy to create, flexible data structure.
	* Cons: Can be slower than Typed Arrays due to type checking.
2. **Typed Array (Float32Array)**:
	* Pros: Optimized for floating-point operations, faster performance.
	* Cons: Limited to 32-bit floats, less flexible.
3. **Create Arrays**:
	* Pros: Allows for more control over data creation, can be beneficial for certain use cases.
	* Cons: May incur additional overhead due to array creation.
4. **Typed Array in Typed Array**:
	* Pros: Can reduce memory allocation and deallocation overhead.
	* Cons: Requires more complex data structures, may lead to performance issues if not used correctly.

**Library and Its Purpose**

The `Float64Array` class is a typed array that stores 64-bit floating-point numbers. It is part of the JavaScript standard library and provides an efficient way to work with floating-point data.

**Special JS Features or Concepts**

None explicitly mentioned in this benchmark, but it's essential to note that the performance differences between arrays and Typed Arrays may also depend on factors like:

* Browser support
* JavaScript engine optimization
* Data size and distribution

Overall, this benchmark aims to provide a general understanding of the performance characteristics of arrays versus Typed Arrays in various operations.

Latest run results:

Run details: (Test run date: 5 months 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 Edg/126.0.0.0

Browser/OS: Chrome 126 on Windows

View result in a separate tab

Test name	Executions per second
array sort	7031.7 Ops/sec
typedArray sort	13097.2 Ops/sec
array i/o	1005.0 Ops/sec
typedArray i/o	970.6 Ops/sec
typedArray i/o w convert back to array	866.1 Ops/sec
create arrays	22528.5 Ops/sec
create typed arrays	532.8 Ops/sec
create typed arrays in typed array	244.2 Ops/sec

Related benchmarks:

array vs float32array performance test2 (version: 0)

Comparing performance of: array sort vs typedArray sort vs array i/o vs typedArray i/o vs typedArray i/o w convert back to array vs create arrays vs create typed arrays vs create typed arrays in typed array

Created: 5 months ago by: Registered User

Jump to the latest result

array sort

typedArray sort

array i/o

typedArray i/o

typedArray i/o w convert back to array

create arrays

create typed arrays

create typed arrays in typed array

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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