Benchmark: PutImageData vs DrawImage vs fillRect v213

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>
<canvas id='rect' 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');
var rect = document.getElementById('rect').getContext('2d');

masterctx.fillRect(0,0,50,50);
masterctx.fillStyle = "red";
masterctx.fillRect(50,50,100,100);

let imgData1 = masterctx.getImageData(0,0,100,100);
let imgData2 = masterctx.getImageData(25,0,75,100);

Tests:

DrawImage whole master into di canvas
di.drawImage(master,0,0);
PutImageData whole master into pid canvas
pid.putImageData(imgData1,0,0);
DrawImage half master into di canvas
di.drawImage(master,25,0,50,100,25,0,50,100);
PutImageData half master into pid canvas
pid.putImageData(imgData2,25,0);
rect
rect.fillRect(0,0,50,50); rect.fillStyle = "red"; rect.fillRect(50,50,100,100);

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
rect

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one month ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36 Edg/134.0.0.0

Browser/OS: Chrome 134 on Windows

View result in a separate tab

Test name	Executions per second
DrawImage whole master into di canvas	629303.1 Ops/sec
PutImageData whole master into pid canvas	55835.2 Ops/sec
DrawImage half master into di canvas	620745.9 Ops/sec
PutImageData half master into pid canvas	61442.8 Ops/sec
rect	1054374.2 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated one month ago):

LLMs can make mistakes. Check important info.

The benchmark you've provided focuses on comparing the performance of different canvas rendering methods in a web environment using JavaScript. The specific methods being evaluated are `drawImage` and `putImageData` from the HTML5 Canvas API, as well as a direct rectangle rendering using `fillRect`. Let's break down the components of this benchmark.

### Benchmark Tests Overview

1. **DrawImage whole master into di canvas**
   - **Method**: `di.drawImage(master,0,0);`
   - **Description**: Renders the entire content of the `master` canvas onto the `di` canvas.
   - **Performance Consideration**: `drawImage` is typically optimized for performance in most browsers and can leverage hardware acceleration, making it faster for drawing images or canvases.

2. **PutImageData whole master into pid canvas**
   - **Method**: `pid.putImageData(imgData1,0,0);`
   - **Description**: Uses the `putImageData` method to transfer pixel data from `imgData1` (which contains the entire image data of the `master` canvas) to the `pid` canvas.
   - **Performance Consideration**: `putImageData` is generally slower than `drawImage` for copying large sections because it operates directly on pixel data and may not take advantage of optimizations like those available for images.

3. **DrawImage half master into di canvas**
   - **Method**: `di.drawImage(master,25,0,50,100,25,0,50,100);`
   - **Description**: Renders a subset (half) of the `master` canvas to the `di` canvas, effectively specifying a rectangular portion of the source and destination.
   - **Performance Consideration**: This should also benefit from optimizations like `drawImage`.

4. **PutImageData half master into pid canvas**
   - **Method**: `pid.putImageData(imgData2,25,0);`
   - **Description**: Similar to the previous test, but here it uses `imgData2`, which represents a smaller portion of the `master` canvas.
   - **Performance Consideration**: Should be more efficient than putting the whole image but remains slower than `drawImage`.

5. **Direct Rectangle Rendering**
   - **Method**: 
     ```javascript
     rect.fillRect(0,0,50,50);
     rect.fillStyle = "red";
     rect.fillRect(50,50,100,100);
     ```
   - **Description**: Draws filled rectangles directly on the `rect` canvas.
   - **Performance Consideration**: This is usually very fast since it's a simple primitive drawing operation, relying on the browser's optimization for basic shapes.

### Performance Results Interpretation

1. **`rect.fillRect`** shows the highest performance, measuring `1,054,374.25` executions per second. This indicates that direct drawing operations are often the fastest due to their straightforward nature.
  
2. **`drawImage` for the whole master Canvas** yielded `629,303.06` FPS, significantly faster than both `putImageData` tests, indicating the efficiency of this method for image rendering.

3. The `drawImage` for half the master had nearly the same performance with `620,745.87` FPS, reinforcing the fact that only specifying a section doesn't significantly impact performance.

4. **`putImageData`** tests showed lower execution rates, with the full image at `55,835.24` and half image at `61,442.75` FPS, highlighting the overhead associated with this method as it involves manipulating raw pixel data.

### Considerations and Alternatives

- **Pros of `drawImage`**:
  - Faster and optimized for rendering images and canvas elements.
  - Provides straightforward syntax for transforming and scaling images.

- **Cons of `drawImage`**:
  - Limited when it comes to manipulating pixel data directly.

- **Pros of `putImageData`**:
  - Allows for precise pixel manipulation.
  - Useful for applications needing access to individual pixel data.

- **Cons of `putImageData`**:
  - Typically slower due to dealing directly with pixel data rather than utilizing graphics hardware acceleration.

### Alternatives
Other alternatives for rendering images or graphics on a canvas could include:

- **WebGL**: For 3D graphics or advanced 2D rendering, leveraging the GPU for performance gains. This is particularly useful for scenarios requiring complex visualizations or animations.

- **SVG (Scalable Vector Graphics)**: Especially suitable for vector-based graphics. SVG elements can be manipulated easily via the DOM but may not perform as well with a large number of elements as canvas.

- **Using Libraries**: Libraries like PIXI.js or Fabric.js can provide a higher-level abstraction for graphics rendering that might offer optimized methods for specific tasks, though they would come with their own learning curves.

In conclusion, the benchmark effectively highlights the performance differences between various canvas drawing methods, providing insights into when to use each method based on specific requirements in terms of speed and data manipulation capabilities.

Related benchmarks:

PutImageData vs DrawImage vs fillRect v213 (version: 1)

GetImageData with PutImageData vs just 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 vs rect

Created: one month 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

rect

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated one month ago):