Benchmark: PutImageData vs DrawImage 2b

HTML Preparation code:

<canvas id='master' width='100' height='100'></canvas>
<canvas id='pid' width='100' height='100'></canvas>
<canvas id='di' width='100' height='100'></canvas>

Script Preparation code:

var master = document.getElementById('master');
var masterctx = master.getContext('2d');
var pid = document.getElementById('pid').getContext('2d');
var di = document.getElementById('di').getContext('2d');

masterctx.fillRect(0,0,50,50);
masterctx.fillStyle = "red";
masterctx.fillRect(50,50,100,100);

var imgData1 = masterctx.getImageData(0,0,100,100);
var imgData2 = masterctx.getImageData(25,0,75,100);

Tests:

DrawImage whole master into di canvas
di.clearRect(0, 0, 100, 100); di.drawImage(master,0,0);
PutImageData whole master into pid canvas
pid.putImageData(imgData1,0,0);
DrawImage half master into di canvas
di.clearRect(0, 0, 100, 100); di.drawImage(master,25,0,50,100,25,0,50,100);
PutImageData half master into pid canvas
pid.putImageData(imgData2,25,0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
DrawImage whole master into di canvas
PutImageData whole master into pid canvas
DrawImage half master into di canvas
PutImageData half master into pid canvas

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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 the provided JSON benchmark.

**Benchmark Definition**

The benchmark compares two methods for rendering images on HTML5 canvases: `PutImageData` and `DrawImage`. Specifically, it measures the performance of these methods when drawing a 200x100 pixel image onto a canvas, with various configurations:

1. Drawing the entire image at once (whole master into di canvas)
2. Drawing only half of the image at once (half master into di canvas)
3. Clearing the canvas and then drawing the entire image again (whole master into pid canvas)
4. Clearing the canvas and then drawing only half of the image again (half master into pid canvas)

**Options Compared**

The benchmark is comparing the performance of two main options:

1. `PutImageData`: This method involves creating an image data object from the canvas, and then using that object to draw the image onto another canvas.
2. `DrawImage`: This method directly draws the image onto the destination canvas.

**Pros and Cons**

Here are some pros and cons of each approach:

* `PutImageData`:
	+ Pros: Can be more precise control over the drawing process, as it allows for pixel-level manipulation of the image data.
	+ Cons: Can be slower due to the overhead of creating an image data object and manipulating its pixels.
* `DrawImage`:
	+ Pros: Generally faster than `PutImageData`, as it doesn't require creating an additional image data object.
	+ Cons: Less precise control over the drawing process, as it relies on the browser's built-in image rendering engine.

**Library**

In this benchmark, the `CanvasRenderingContext2D` API is used to manipulate the canvases. This API provides a set of methods for performing common 2D graphics operations, such as drawing images, filling shapes with colors, and manipulating image data.

**Special JS Feature or Syntax**

None mentioned in this benchmark. However, it's worth noting that the `PutImageData` method uses a feature of the HTML5 canvas API called "image data" (also known as " pixel buffer objects"), which allows for low-level manipulation of the canvas pixels. This can be useful in certain scenarios where precise control over the rendering process is required.

**Alternatives**

If you're looking to benchmark other methods for drawing images on canvases, here are some alternatives:

1. `CanvasRenderingContext2D.drawImage()` with a `SrcRect` argument: This method allows for more precise control over the region of the image being drawn.
2. WebAssembly (WASM) graphics libraries like WebGPU or WebGL: These libraries provide low-level access to the GPU and can be used for high-performance graphics rendering.
3. Custom native plugins: Depending on your specific use case, you might need to write a custom plugin to achieve optimal performance.

Keep in mind that each of these alternatives has its own trade-offs in terms of complexity, performance, and compatibility with different browsers and devices.

Related benchmarks:

PutImageData vs DrawImage 2b (version: 0)

Compare PutImageData with DrawImage

Comparing performance of: DrawImage whole master into di canvas vs PutImageData whole master into pid canvas vs DrawImage half master into di canvas vs PutImageData half master into pid canvas

Created: 4 years ago by: Guest

Jump to the latest result

DrawImage whole master into di canvas

PutImageData whole master into pid canvas

DrawImage half master into di canvas

PutImageData half master into pid canvas

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):