Benchmark: cache vs live - MeasureThat.net

HTML Preparation code:

<canvas id="canvas" width="400" height="400"></canvas>

Script Preparation code:

var canvas = document.getElementById('canvas');
var ctx = canvas.getContext("2d");

var cacheG = document.createElement('canvas');
var cacheD = cacheG.getContext('2d');

cacheG.width = 12;
cacheG.height = 12;

cacheD.beginPath();
cacheD.fillStyle = '#000';
cacheD.arc(6, 6, 6, 0, Math.PI * 2, true);
cacheD.fill();

Tests:

cache
ctx.drawImage(cacheG, 6, 6);
live
ctx.beginPath(); ctx.fillStyle = '#000'; ctx.arc(12, 12, 6, 0, Math.PI * 2, true); ctx.fill();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
cache
live

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.

Let's break down the provided benchmark JSON and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The benchmark is designed to compare two approaches: using a cached canvas (cache) versus drawing directly on the live canvas.

**Script Preparation Code**

This code sets up a JavaScript environment:

1. It creates a `canvas` element with an ID of "canvas" using HTML.
2. It gets a 2D drawing context (`ctx`) from the `canvas`.
3. It creates another `canvas` element (cacheG) and gets its 2D drawing context (`cacheD`).
4. The cache canvas is set to have a width and height of 12 pixels.

**Html Preparation Code**

This code generates an HTML snippet that includes a single `<canvas>` element with a width and height of 400 pixels, which serves as the live canvas for the benchmark.

**Individual Test Cases**

There are two test cases:

1. **Cache**: This test case uses the cached canvas (`cacheG`) to draw on. The `ctx.drawImage(cacheG, 6, 6);` line draws a circle on the cache canvas at position (6, 6) and then draws this entire image on the live canvas.
2. **Live**: This test case draws directly on the live canvas using `ctx.beginPath();`, `ctx.fillStyle = '#000';`, `ctx.arc(12, 12, 6, 0, Math.PI * 2, true);`, and `ctx.fill();`. It draws a circle at position (12, 12) with a radius of 6 pixels.

**Pros and Cons**

* **Cache**: Pros:
	+ Faster execution time due to reduced rendering time.
	+ Can lead to better performance in certain scenarios where caching is beneficial (e.g., gaming).
Cons:
	+ May not work correctly if the cached canvas is reused multiple times, potentially leading to performance issues or incorrect results.
	+ Requires more memory to store the cached canvas.
* **Live**: Pros:
	+ Always uses the most up-to-date drawing context and doesn't require caching.
	+ Can lead to better accuracy in certain scenarios where caching may introduce errors (e.g., debugging).
Cons:
	+ Generally slower execution time due to rendering on a live canvas.

**Libraries and Features**

There is no explicit library mentioned in the benchmark definition. However, it's essential to note that some JavaScript features like `canvas` and its 2D drawing context are part of the ECMAScript standard and don't require any external libraries for basic functionality.

No special JavaScript features or syntax are explicitly used in this benchmark.

**Alternatives**

Other alternatives for measuring performance differences between caching and using live canvases might include:

1. **Web Workers**: Using web workers can help isolate performance-critical code and improve overall execution speed.
2. **Profiling Tools**: Using profiling tools like the Chrome DevTools or Firefox's Performance Monitor can provide detailed information about execution time, CPU usage, and memory allocation for both test cases.
3. **Benchmarking Frameworks**: Utilizing dedicated benchmarking frameworks like Benchmark.js or jsPerf can simplify the process of creating and running benchmarks.
4. **Machine Learning-based Optimization**: Applying machine learning techniques to optimize canvas rendering and caching strategies can lead to significant performance improvements.

By understanding the nuances of this benchmark, developers can gain insights into the performance implications of using cached canvases versus drawing directly on live canvases and make informed decisions for their own applications.

Related benchmarks:

cache vs live (version: 0)

Comparing performance of: cache vs live

Created: 8 years ago by: Guest

Jump to the latest result

cache

live

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):