Benchmark: Image vs ImageBitmap vs cv with context2d

Script Preparation code:

var img = new Image();
var imageBitmap;
var doneLoading = false;

let canvas = document.createElement('canvas');
canvas.width = 640;
canvas.height = 480;

let canvas2 = document.createElement('canvas');
canvas2.width = 640;
canvas2.height = 480;

let canvas3 = document.createElement('canvas');
canvas3.width = 640;
canvas3.height = 480;

var ctx = canvas.getContext('2d');
var ctx2 = canvas2.getContext('2d');
var ctx3 = canvas2.getContext('2d');

var cv = document.createElement('canvas');
cv.width = 700;
cv.height = 700;
var cvx = cv.getContext('2d');

img.addEventListener('load', function() {
  
  cvx.drawImage(img,0,0);
    
});

img.src = 'https://1.bp.blogspot.com/-52MtzD0GfX0/WvP52CL1WjI/AAAAAAAAOVw/_OpK4JHeWK01d-7IiZ6vzojYGhXqLRXrACLcBGAs/s1600/EMxediL.jpg';

Tests:

Image
if (doneLoading) ctx.drawImage(img,0,0);
canvas
if (doneLoading) ctx3.drawImage(cv,0,0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Image
canvas

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.

**Benchmark Explanation**

The provided JSON represents a benchmark test case for measuring the performance of different approaches to draw images on a canvas or using an ImageBitmap.

**Options Compared**

There are two options being compared:

1. **Image**: This approach uses the `drawImage` method to draw an image on a 2D drawing context (`ctx`). The image is loaded from a URL using the `src` attribute of the `Image` object.
2. **Canvas**: This approach uses an ImageBitmap and the `drawImage` method to draw an image on another canvas element.

**Pros and Cons**

* **Image Approach**
	+ Pros:
		- Simple and straightforward implementation
		- Does not require additional libraries or features
	+ Cons:
		- May have performance issues due to slow loading times of the image
		- Can be sensitive to canvas size and resolution
* **Canvas Approach (with ImageBitmap)**
	+ Pros:
		- Can potentially outperform the `drawImage` method by leveraging the GPU acceleration of ImageBitmap
		- Reduces memory allocation for the canvas context
	+ Cons:
		- Requires additional libraries or features (specifically, ImageBitmap)
		- May have more complex implementation compared to the `drawImage` method

**Library and Purpose**

* **ImageBitmap**: An API that allows you to create a bitmap representation of an image. This can be used as a canvas source, allowing for GPU acceleration and reduced memory allocation.

**Special JS Feature or Syntax**

There is no special JavaScript feature or syntax being utilized in this benchmark test case. The focus is on the performance comparison between two approaches using standard JavaScript APIs.

**Other Alternatives**

* **WebGL**: Another API that can be used to leverage GPU acceleration, but it requires more complex setup and knowledge of shader languages.
* **Canvas rendering with shaders**: This approach uses WebGL under the hood to render the canvas, allowing for improved performance. However, this is a more advanced topic that may not be relevant to this benchmark.

**Additional Considerations**

The choice between these approaches can depend on various factors, such as:

* Performance requirements
* Browser support (ImageBitmap might require newer browsers)
* Development complexity and expertise

Overall, the Image vs ImageBitmap vs cv with context2d benchmark test case provides a useful comparison of two common approaches to drawing images in JavaScript, highlighting the trade-offs between simplicity and performance.

Related benchmarks:

Image vs ImageBitmap vs cv with context2d (version: 0)

Testing draw calls using a raw Image versus an ImageBitmap

Comparing performance of: Image vs canvas

Created: 4 years ago by: Guest

Jump to the latest result

Image

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):