Benchmark: Uint8Array vs Uint32Array

Tests:

u8
const u8 = new Uint8Array(100000); for (let i = 0; i < u8.length; i++) { u8[i] = Math.round(Math.random() * 256); }
u32
const u32 = new Uint32Array(100000); for (let i = 0; i < u32.length; i++) { u32[i] = Math.round(Math.random() * 256); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
u8
u32

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark is defined by a JSON object that specifies two test cases: `Uint8Array vs Uint32Array`. The description of the benchmark is empty, which means it doesn't provide any context about the purpose of the benchmark. However, the script preparation code and HTML preparation code are also empty, which suggests that the benchmark doesn't require any specific setup or rendering.

**Test Cases**

There are two test cases: `u8` (Uint8Array) and `u32` (Uint32Array). The test case for each array type consists of a simple loop that generates random values between 0 and 255, inclusive. The loop iterates over the length of the array and assigns a new random value to each element using the `Math.round` function.

**Comparison**

The benchmark is comparing the performance of two different types of arrays: Uint8Array and Uint32Array. Both arrays are used to store 100,000 elements, but the type of elements stored differs between the two arrays. In the `u8` test case, each element is a single byte (unsigned integer), while in the `u32` test case, each element is a 32-bit unsigned integer.

**Pros and Cons**

The choice of using Uint8Array vs Uint32Array depends on the specific use case and requirements of the application. Here are some pros and cons of each approach:

* **Uint8Array**: Pros:
	+ Smaller memory footprint
	+ Faster access times (lower latency)
	+ Suitable for applications that work with small integers or pixel data
* Cons:
	+ Limited range of values (0-255)
	+ May be less suitable for applications that require larger integer ranges
* **Uint32Array**: Pros:
	+ Larger range of values (0-4294967295)
	+ Suitable for applications that require larger integer ranges, such as graphics or physics simulations
* Cons:
	+ Larger memory footprint
	+ Slower access times (higher latency)

**Library and Special Features**

There is no library explicitly mentioned in the benchmark definition. However, the use of `Math.round` suggests that the benchmark is using the ECMAScript standard library.

There are no special features or syntax used in this benchmark that would require knowledge beyond basic JavaScript programming.

**Alternatives**

If you're interested in exploring alternative approaches to this benchmark, here are a few options:

* **Compare with other array types**: In addition to Uint8Array and Uint32Array, you could also compare the performance of other array types, such as Int8Array, Int16Array, or Float32Array.
* **Add more complex operations**: To make the benchmark more realistic, you could add more complex operations, such as sorting or searching, to the test cases.
* **Use a different browser or environment**: The benchmark is currently using Opera 112, but you could also run it on other browsers, such as Chrome or Firefox, or even on Node.js or WebAssembly.

Latest run results:

Run details: (Test run date: 2 days ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
u8	47.9 Ops/sec
u32	48.0 Ops/sec

Related benchmarks:

Uint8Array vs Uint32Array (version: 0)

Comparing performance of: u8 vs u32

Created: 3 years ago by: Guest

Jump to the latest result

u8

u32

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):