Benchmark: Canvas gradient perf

HTML Preparation code:

<canvas id="canvas1" width="400" height="400"></canvas>

<style>
 canvas { border: 1px solid black; }
</style>

<script>
var canvas = document.getElementById('canvas1');
var ctx = canvas.getContext('2d');

var grad = ctx.createLinearGradient(0, 0, 50, 40);
grad.addColorStop(0, 'red');
grad.addColorStop(0.5, 'rgba(0,0,255,0.5)');
grad.addColorStop(1, 'lime');

</script>

Tests:

Create
for (var i = 0; i < 10; i++) { var grad2 = ctx.createLinearGradient(i, i, 50+i, 40+i); grad2.addColorStop(0, 'red'); grad2.addColorStop(0.5, 'rgba(0,0,255,0.5)'); grad2.addColorStop(1, 'lime'); ctx.fillStyle = grad2; ctx.fillText("Hello", 10, 10); }
reuse
for (var i = 0; i < 10; i++) { ctx.fillStyle = grad; ctx.fillText("Hello", 10, 10); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Create
reuse

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

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

**Benchmark Description**

The provided benchmark is designed to measure the performance of creating and reusing linear gradients in a 2D drawing context. The test creates a canvas element and sets up two different gradient creation scenarios:

1. **Create**: This scenario creates a new linear gradient object (`grad`) on each iteration of the loop, and then uses that gradient to draw text on the canvas.
2. **Reuse**: This scenario reuses an existing linear gradient object (`grad`) across all iterations of the loop, and then uses that gradient to draw text on the canvas.

**Library and Syntax**

The benchmark utilizes the Web API for creating and manipulating 2D graphics, specifically:

* `canvas` elements
* `getContext('2d')`
* `createLinearGradient()`
* `addColorStop()`
* `fillStyle`

No specific JavaScript library or syntax is used in this benchmark.

**Options Compared**

The two test cases compare the performance of creating a new linear gradient object (`grad`) versus reusing an existing one (`grad`).

**Pros and Cons of Each Approach**

**Create:**

Pros:

* Easy to understand and implement
* No overhead from caching or reusing objects

Cons:

* Creates a new object on each iteration, leading to memory allocation and garbage collection
* May lead to slower performance due to the overhead of creating multiple gradients

**Reuse:**

Pros:

* Reuses an existing object, reducing memory allocation and garbage collection overhead
* Can be faster since the gradient is not recreated on each iteration

Cons:

* Requires proper caching and reuse of objects to achieve optimal performance
* May lead to slower performance if the gradient is not properly optimized or cached

**Other Considerations**

* The benchmark uses a simple drawing test case, which may not accurately represent real-world usage scenarios.
* The use of `var` for variable declaration can introduce scope issues and unexpected behavior in some browsers.
* The benchmark does not account for differences in browser implementations or caching mechanisms.

**Alternatives**

Some alternative approaches could be:

* Using a different data structure, such as an array of pre-generated gradients, to store and reuse linear gradient objects.
* Implementing a more sophisticated caching mechanism, such as a Map or WeakMap, to store and retrieve linear gradient objects efficiently.
* Utilizing browser-specific APIs or features, such as Web Workers or native web workers, to offload graphics rendering and improve performance.

Keep in mind that these alternatives would require modifications to the benchmark code and may not directly compare to the original "Create" vs. "Reuse" scenario.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36

Browser/OS: Chrome 79 on Linux

View result in a separate tab

Test name	Executions per second
Create	21753.2 Ops/sec
reuse	47367.8 Ops/sec

Related benchmarks:

Canvas gradient perf (version: 0)

Comparing performance of: Create vs reuse

Created: 6 years ago by: Guest

Jump to the latest result

Create

reuse

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):