Benchmark: Push to: array vs float32array performance test

Tests:

create arrays
const a = []; for (let i = 0; i < 10_000; i++) { a.push([i]); }
create typed arrays
const a = []; for (let i = 0; i < 10_000; i++) { a.push(new Float32Array([i])); }
create typed arrays in typed array
const a = new Float32Array(10_000); for (let i = 0; i < 10_000; i++) { a[i] = new Float32Array([i]); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
create arrays
create typed arrays
create typed arrays in typed array

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; rv:128.0) Gecko/20100101 Firefox/128.0

Browser/OS: Firefox 128 on Windows

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create arrays

10K/s

create typed arrays

1K/s

create typed arrays in typed array

292/s

View exact numbers

Test name	Executions per second
✓ create arrays	9,808 Ops/sec
create typed arrays	1,457 Ops/sec
create typed arrays in typed array	292 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmarking test.

**Benchmark Definition**

The benchmark measures the performance of three approaches to create arrays and push data into them:

1. **Push to: array**: This approach creates an empty array (`const a = []`) and then pushes elements onto it using the `push()` method.
2. **Create typed arrays**: This approach creates a Float32Array object with 10,000 elements and then pushes elements onto it using the `push()` method.
3. **Create typed arrays in typed array**: This approach creates a new Float32Array object with 10,000 elements and then assigns a new Float32Array object to each element of the original array.

**Options Compared**

The benchmark compares the performance of three approaches:

* Pushing data onto an existing array
* Creating a new typed array and pushing data onto it
* Creating a new typed array and assigning a new typed array to each element of an existing array

**Pros and Cons of Each Approach**

1. **Push to: array**
	* Pros:
		+ Easy to implement
		+ Works well for small datasets
	* Cons:
		+ Can be slower due to the overhead of creating a new array on each push operation
2. **Create typed arrays**
	* Pros:
		+ Can be faster than pushing data onto an existing array, as it avoids the overhead of array creation on each push operation
	* Cons:
		+ Requires more memory upfront, as the entire typed array needs to be allocated in memory
3. **Create typed arrays in typed array**
	* Pros:
		+ Combines the benefits of both approaches: reduces the overhead of array creation and avoids the need for a large contiguous block of memory upfront
	* Cons:
		+ Can be more complex to implement, as it requires creating multiple typed arrays and assigning them to each element of an existing array

**Library Used**

In this benchmark, the `Float32Array` constructor is used to create typed arrays. `Float32Array` is a built-in JavaScript class that represents a typed array of 32-bit floating-point numbers.

**Special JS Feature or Syntax**

This benchmark does not use any special JavaScript features or syntax beyond what's required for the standard library functions (e.g., `push()`, `new Float32Array()`).

Push to: array vs float32array performance test (version: 0)

Comparing performance of: `create arrays vs create typed arrays vs create typed arrays in typed array`

Created: one year ago by: Registered User

Go to the latest result

create arrays

create typed arrays

create typed arrays in typed array

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Push to: array vs float32array performance test (version: 0)

Comparing performance of: create arrays vs create typed arrays vs create typed arrays in typed array

Created: one year ago by: Registered User

Go to the latest result

create arrays

create typed arrays

create typed arrays in typed array

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

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Comparing performance of: `create arrays vs create typed arrays vs create typed arrays in typed array`