Benchmark: translate - MeasureThat.net

HTML Preparation code:

<div id="elem" style="background:#ccc; width:10px; height:10px;"></div>
<script>
  var elem = document.getElementById("elem");
  var style = elem.style;
</script>

Tests:

default
var x = y = 0; for (var i = 100; i--;) { x = i; y = i * 5; var transform = 'translate(' + x + 'px, ' + y + ')'; style.MozTransform = transform; style.webkitTransform = transform; }
sep
var x = y = 0; for (var i = 100; i--;) { x = i; y = i * 5; var transform = 'translateX(' + x + 'px) translateY(' + y + 'px)'; style.MozTransform = transform; style.webkitTransform = transform; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
default
sep

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
default	8142.5 Ops/sec
sep	10451.2 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

I'd be happy to help you understand what's being tested in the provided benchmark.

**Overview**

The benchmark is designed to measure the performance of JavaScript code related to 2D transformations, specifically the `translate()` method. The test cases compare two different approaches: using a single variable for both translation and scaling (`default`), and using separate variables for each transformation (`sep`).

**Library**

The benchmark uses the `style` object, which is part of the DOM (Document Object Model) API in HTML documents. Specifically, it accesses the `MozTransform` and `webkitTransform` properties of the `style` object to apply transformations to an element.

**Options being compared**

Two options are being compared:

1. **Default**: In this approach, a single variable `x` is used for both translation (`translate(x)`) and scaling (`* 5`). This means that the transformation matrix will be a simple scalar multiplication of `x`, followed by a translation.
2. **sep** (separate): In this approach, two separate variables are used: one for translation (`x`) and another for scaling (`y`). The transformation matrix is constructed as a product of two matrices: a rotation matrix (not explicitly shown) followed by a translation matrix.

**Pros and Cons**

**Default**:

Pros:

* Simpler code structure
* May be faster due to fewer operations

Cons:

* The transformation matrix can become unstable if the scaling factor (`5`) is very large or small, as it affects both `x` and `y`.
* The use of a single variable for both transformations may lead to numerical instability issues.

**sep**

Pros:

* More predictable transformation matrix
* Less susceptible to numerical instability

Cons:

* More complex code structure
* May be slower due to additional operations

**Other considerations**

* The benchmark measures the execution time of the JavaScript code, which is likely influenced by factors such as CPU architecture, compiler optimizations, and browser-specific features.
* The `RawUAString` field in the benchmark result indicates the user agent string sent by the testing device, providing information about the browser version and platform.

**Special JS feature**

The benchmark does not explicitly use any special JavaScript features, but it relies on the `style` object and its properties (`MozTransform`, `webkitTransform`). These are standard DOM API features that most modern browsers support.

As for the syntax differences between `translate()` and `translateX()`/`translateY()`, these are simply two different ways to construct 2D transformations. The `translateX()` and `translateY()` functions generate a horizontal or vertical translation matrix, respectively, which can be combined with other transformation matrices using multiplication.

**Alternatives**

Other alternatives for achieving similar transformations include:

* Using a library like MathJS or Underscore.js, which provide more functional programming-style APIs for working with mathematical operations.
* Implementing custom 2D transformation functions in JavaScript, potentially using matrix multiplication to combine transformations.
* Using a graphics library like Canvas or WebGL, which provide lower-level interfaces for manipulating 2D and 3D graphics.

Related benchmarks:

translate (version: 0)

Comparing performance of: default vs sep

Created: 6 years ago by: Guest

Jump to the latest result

default

sep

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):