Benchmark: drawImage: Copy from image or canvas ggg

HTML Preparation code:

<canvas id="target" width="200" height="200"></canvas>

Script Preparation code:

var imagebase = "data:image/png;base64,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";

var image = document.createElement('img');
image.src = imagebase;
var canvas = document.createElement('canvas');
canvas.width = 200;
canvas.height = 200;
var ctx = canvas.getContext('2d');
var imageloaded = false;
var imageBitmap;
image.onload = async function() {
  ctx.drawImage(image, 0, 0);
  imageloaded = true;
  imageBitmap = await createImageBitmap(image)
};

var drawcanvas = document.getElementById('target');
var drawctx = drawcanvas.getContext('2d');

Tests:

copy image section
drawctx.drawImage(image, 50, 50, 120, 120, 5, 5, 120, 120);
copy canvas section
drawctx.drawImage(canvas, 50, 50, 120, 120, 5, 5, 120, 120);
copy imageBitmap
drawctx.drawImage(imageBitmap, 50, 50, 120, 120, 5, 5, 120, 120);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
copy image section
copy canvas section
copy imageBitmap

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.

I'm ready to help! It appears that we have a benchmarking scenario where we're comparing the performance of three different methods for copying sections of an image:

1. **Directly drawing from the original image**: `drawctx.drawImage(image, 50, 50, 120, 120, 5, 5, 120, 120);`
2. **Copying from a canvas element**: `drawctx.drawImage(canvas, 50, 50, 120, 120, 5, 5, 120, 120);`
3. **Copying from an image bitmap**: `drawctx.drawImage(imageBitmap, 50, 50, 120, 120, 5, 5, 120, 120);`

We're given the raw UA string of a Chrome 76 browser on a Windows desktop, as well as the latest benchmark results. The test names are "copy image section", "copy canvas section", and "copy imageBitmap".

The goal is to identify the fastest method among these three options.

Can I ask some clarifying questions before providing an answer?

1. What is the expected output or use case for this benchmarking scenario?
2. Are there any specific requirements or constraints on the performance of each method?
3. Is the benchmarking process already performed, or do we need to re-run it?

Related benchmarks:

drawImage: Copy from image or canvas ggg (version: 0)

Comparing performance of: copy image section vs copy canvas section vs copy imageBitmap

Created: 6 years ago by: Registered User

Jump to the latest result

copy image section

copy canvas section

copy imageBitmap

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):