Benchmark: IntToRGBA - MeasureThat.net

Script Preparation code:

function myConvertion (i) {
    var rgba = {};
    rgba.r = i & 0XFF000000;
    rgba.g = i & 0X00FF0000;
    rgba.b = i & 0X0000FF00;
    rgba.a = i & 0X000000FF;
    
    return rgba;
};

function JIMPConvertion (i) {
    var rgba = {};
    rgba.r = Math.floor(i / Math.pow(256, 3));
  	rgba.g = Math.floor((i - rgba.r * Math.pow(256, 3)) / Math.pow(256, 2));
  	rgba.b = Math.floor((i - rgba.r * Math.pow(256, 3) - rgba.g * Math.pow(256, 2)) / Math.pow(256, 1));
  	rgba.a = Math.floor((i - rgba.r * Math.pow(256, 3) - rgba.g * Math.pow(256, 2) - rgba.b * Math.pow(256, 1)) / Math.pow(256, 0));
    return rgba;
};

var MAX_32_BIT_INTEGER = 2147483647;
var intArr = Array(200).fill(()=> {Math.random() * MAX_32_BIT_INTEGER})

Tests:

JIMP
intArr.forEach(colorInt => JIMPConvertion(colorInt))
My Convertion
intArr.forEach(colorInt => myConvertion(colorInt))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JIMP
My Convertion

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down what is being tested in this benchmark.

The benchmark measures the performance of two different JavaScript functions, `myConvertion` and `JIMPConvertion`, which are used to convert an integer value representing a color (in RGBA format) into an object with RGBA properties. The test case uses two arrays: `intArr` containing random 32-bit integers, and the `forEach` method is applied to this array.

The main difference between the two functions lies in how they calculate the RGBA values:

1.  **`myConvertion`**:
    *   Uses bitwise AND operations (`i & 0XFF000000`, etc.) to extract individual bytes from the integer value.
    *   Performs calculations based on the extracted bytes.

2.  **`JIMPConvertion`**:
    *   Divides the integer value by powers of 256 to get the corresponding RGBA values.
    *   Uses arithmetic operations to calculate the intermediate results, which are then used to compute the final RGBA values.

The pros and cons of these different approaches:

*   **Bitwise Operations (myConvertion)**:
    *   Pros: Can be more efficient in terms of memory accesses, as it only requires reading the individual bytes from the integer value.
    *   Cons: May be slower due to the complexity of the calculations, especially for larger numbers.

*   **Power-of-256 Division (JIMPConvertion)**:
    *   Pros: Can be faster, as it reduces the number of calculations required.
    *   Cons: Requires more memory accesses, as the divisions involve floating-point operations that may result in intermediate results.

Other considerations:

*   **Library Usage**: Neither `myConvertion` nor `JIMPConvertion` uses any JavaScript libraries. However, if you wanted to use a library like JIMP for image processing, it might provide optimized functions for color conversion.
*   **Special JS Features**: This benchmark does not use any special JavaScript features or syntax that are specific to certain browsers.

Now, let's talk about alternatives:

If you wanted to test the performance of these two functions without using a benchmarking framework like MeasureThat.net, you could write similar tests in your own code. Here's an example of how you might structure your test:

```javascript
const intArr = Array(200).fill(() => Math.random() * 2147483647);

// Function to convert integer to RGBA (similar to myConvertion)
function convertToRGBA(i) {
    const rgba = {};
    rgba.r = i & 0XFF000000;
    rgba.g = i & 0X00FF0000;
    rgba.b = i & 0X0000FF00;
    rgba.a = i & 0X000000FF;
    return rgba;
}

// Function to convert integer to RGBA (similar to JIMPConvertion)
function convertToRGBAJIMP(i) {
    const rgba = {};
    rgba.r = Math.floor(i / Math.pow(256, 3));
    rgba.g = Math.floor((i - rgba.r * Math.pow(256, 3)) / Math.pow(256, 2));
    rgba.b = Math.floor((i - rgba.r * Math.pow(256, 3) - rgba.g * Math.pow(256, 2)) / Math.pow(256, 1));
    rgba.a = Math.floor((i - rgba.r * Math.pow(256, 3) - rgba.g * Math.pow(256, 2) - rgba.b * Math.pow(256, 1)) / Math.pow(256, 0));
    return rgba;
}

intArr.forEach(colorInt => {
    const myResult = convertToRGBA(colorInt);
    const jimpResult = convertToRGBAJIMP(colorInt);

// Measure performance here (e.g., using a timer)
});
```

Keep in mind that this is just one way to structure your tests, and you can adjust it according to your specific requirements.

Related benchmarks:

IntToRGBA (version: 0)

Comparing performance of: JIMP vs My Convertion

Created: 3 years ago by: Guest

Jump to the latest result

JIMP

My Convertion

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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