Benchmark: Canvas fill test

HTML Preparation code:

<canvas id="c" width="800" height="300"></canvas>

Script Preparation code:

$canvas = document.getElementById('c');
$ctx = $canvas.getContext('2d');
$cw = $canvas.width;
$ch = $canvas.height;
$id = $ctx.getImageData(0, 0, 1, 1);
$ctx.clearRect(0, 0, $cw, $ch);

function rng() {
  return [
    Math.floor(Math.random() * $cw),
    Math.floor(Math.random() * $ch),
    Math.floor(Math.random() * 256),
    Math.floor(Math.random() * 256),
    Math.floor(Math.random() * 256)
  ];
}

Tests:

putImageData
{ const [x, y, r, g, b] = rng(); $id.data[0] = r; $id.data[1] = g; $id.data[2] = b; $ctx.putImageData($id, x, y); }
fillRect
{ const [x, y, r, g, b] = rng(); $ctx.fillStyle = `rgb(${r},${g},${b})`; $ctx.fillRect(x, y, 1, 1); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
putImageData
fillRect

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark and its components to provide a clear explanation.

**Benchmark Overview**

MeasureThat.net is a platform for creating and running JavaScript microbenchmarks. The provided benchmark is a Canvas fill test, which aims to measure the performance of two different approaches: using `putImageData` and `fillRect`.

**Script Preparation Code**

The script preparation code sets up the necessary variables and canvas context:
```javascript
$canvas = document.getElementById('c');
$ctx = $canvas.getContext('2d');
$cw = $canvas.width;
$ch = $canvas.height;
$id = $ctx.getImageData(0, 0, 1, 1);
$ctx.clearRect(0, 0, $cw, $ch);

function rng() {
  return [
    Math.floor(Math.random() * $cw),
    Math.floor(Math.random() * $ch),
    Math.floor(Math.random() * 256),
    Math.floor(Math.random() * 256),
    Math.floor(Math.random() * 256)
  ];
}
```
The `rng()` function generates random values for the x, y coordinates and RGB color components.

**Html Preparation Code**

The HTML preparation code sets up a canvas element with an ID "c" and specified width and height:
```html
<canvas id="c" width="800" height="300"></canvas>
```
**Individual Test Cases**

There are two individual test cases:

1. **putImageData**
```javascript
const [x, y, r, g, b] = rng();
$id.data[0] = r;
$id.data[1] = g;
$id.data[2] = b;
$ctx.putImageData($id, x, y);
```
This test case uses `putImageData` to draw a small rectangle at the generated random coordinates with RGB color components.

2. **fillRect**
```javascript
const [x, y, r, g, b] = rng();
$ctx.fillStyle = `rgb(${r},${g},${b})`;
$ctx.fillRect(x, y, 1, 1);
```
This test case uses `fillRect` to draw a small rectangle at the generated random coordinates with RGB color components.

**Library: `getImageData`**

The `getImageData()` method is used to create a 1x1 pixel image data object, which is then used in both test cases. This library function provides a way to access individual pixels within an image and manipulate their properties.

**Special JS Feature/Syntax: Random number generation**

Both test cases use the `rng()` function to generate random values for x, y coordinates and RGB color components. No special JavaScript feature or syntax is used in this benchmark.

**Other Alternatives**

If you wanted to measure performance using different approaches, here are some alternatives:

* **Using WebGL**: Instead of using 2D canvas, you could use WebGL to draw the rectangle.
* **Using a library like Pixi.js**: You could use a framework like Pixi.js to handle drawing and rendering.
* **Measuring CPU-bound operations**: If you wanted to measure CPU performance instead of graphics rendering, you could replace the graphics-related code with CPU-intensive operations.

Please note that these alternatives would require significant changes to the benchmark and may not be directly comparable to the original implementation.

Related benchmarks:

Canvas fill test (version: 2)

Comparing performance of: putImageData vs fillRect

Created: 5 years ago by: Registered User

Jump to the latest result

putImageData

fillRect

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):