Benchmark: uint8array 8 extract vs uint8 10 extract

Script Preparation code:


function generateRandomUint8Array(length) {
    const array = new Uint8Array(length);
    window.crypto.getRandomValues(array);
    return array;
}

function readInt64LE(bytes, offset) {
    return (bytes[offset] | (bytes[offset + 1] << 8) | (bytes[offset + 2] << 16) | (bytes[offset + 3] << 24) | (bytes[offset + 4] << 32) | (bytes[offset + 5] << 40)) >>> 0;
}

Tests:

10 byte
// Example usage: const bytes = generateRandomUint8Array(120); let sp = [] for (let i = 0; i < 8; ++i) { let id = readInt64LE(bytes, (i * 10) + 8); // imageset id [8] let imgIdx0 = bytes[(i * 10) + 16]; // image index 0 [9] let imgIdx1 = bytes[(i * 10) + 17]; // image index 1 [10] sp.push([id, imgIdx0, imgIdx1]) }
8 byte
// Example usage: const bytes = generateRandomUint8Array(120); let sp = [] for (let i = 0; i < 8; ++i) { let id = readInt64LE(bytes, (i << 3) + 8); // imageset id [6] let imgIdx0 = bytes[(i << 3) + 14]; // image index 0 [7] let imgIdx1 = bytes[(i << 3) + 15]; // image index 1 [8] sp.push([id, imgIdx0, imgIdx1]) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
10 byte
8 byte

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (iPhone; CPU iPhone OS 16_1_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.1 Mobile/15E148 Safari/604.1

Browser/OS: Mobile Safari 16 on iOS 16.1.1

View result in a separate tab

Test name	Executions per second
10 byte	611834.0 Ops/sec
8 byte	566526.2 Ops/sec

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

LLMs can make mistakes. Check important info.

Measuring the performance of JavaScript code is crucial for optimizing and improving application performance.

The provided JSON represents two benchmark test cases:

**Benchmark Definition**

1. `uint8array 8 extract vs uint8 10 extract`:
This benchmark compares the execution time of two approaches to extract image metadata from a Uint8Array:

a. **Uint8Array with offset arithmetic**: This approach uses explicit offset calculations to access specific elements in the array.

b. **Uint8 with byte-packing**: This approach uses a pre-defined layout (`uint8`) and packing scheme to access the same information.

**Options Compared**

The two options are compared to measure their performance differences:

* `uint8array 8 extract` (using offset arithmetic) vs `uint8 10 extract` (using byte-packing)

**Pros and Cons of Each Approach**

1. **Uint8Array with offset arithmetic**:
	* Pros: More straightforward, easy to understand.
	* Cons: May result in slower performance due to explicit calculations.
2. **Uint8 with byte-packing**:
	* Pros: Potentially faster performance, as the packing scheme can reduce memory access overhead.
	* Cons: Requires more complex code and a deeper understanding of the layout.

**Library Used**

The `readInt64LE` function uses the Web Crypto API to generate random Uint8Arrays. The purpose of this library is to provide a way to generate cryptographically secure random numbers for testing purposes.

**Special JS Feature or Syntax**

This benchmark does not rely on any special JavaScript features or syntax, making it accessible to developers with varying levels of expertise.

**Other Alternatives**

For similar benchmarks, consider using other measurement tools and frameworks, such as:

* Microbenchmarks like `Benchmark.js` or `Benchmark.js-async`
* Performance testing libraries like `fastify-bench` or ` benchmark`

These alternatives can provide more comprehensive performance measurements and detailed analysis of execution times.

Related benchmarks:

uint8array 8 extract vs uint8 10 extract (version: 0)

Comparing performance of: 10 byte vs 8 byte

Created: 2 years ago by: Registered User

Jump to the latest result

10 byte

8 byte

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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