Benchmark: Math.max/min vs ternary operator (in functions)

Script Preparation code:

var number = Math.random() * 1000;

function mathClampNative(val, min, max) {
    return Math.max(min, Math.min(max, val));
}

function mathClampCustom(val, min, max) {
    return val < min ? min : (val > max ? max : val);
}

Tests:

Math.max/min
mathClampNative(number, 250, 750);
ternary
mathClampCustom(number, 250, 750);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.max/min
ternary

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Definition JSON**

The benchmark is testing two different approaches to implement a clamp function, which limits a value within a specified range. The two functions are:

1. `mathClampNative`: This is a native JavaScript implementation of the clamp function, using built-in `Math.max` and `Math.min` functions.
2. `mathClampCustom`: This is a custom implementation of the clamp function, using a ternary operator to achieve the same result.

**Options Compared**

The benchmark is comparing two options:

1. Using native JavaScript functions (`Math.max` and `Math.min`) for the clamp function (native approach).
2. Implementing the clamp function manually using a ternary operator (custom approach).

**Pros and Cons of Each Approach**

**Native Approach (mathClampNative)**

Pros:

* Native implementation is typically faster and more efficient, as it leverages built-in functions that have been optimized for performance.
* Fewer lines of code, making it easier to read and maintain.

Cons:

* May not be as flexible or customizable, as the behavior is defined by the native functions.
* Dependent on the browser's implementation of `Math.max` and `Math.min`, which may vary between browsers.

**Custom Approach (mathClampCustom)**

Pros:

* More control over the implementation, allowing for customization or optimization for specific use cases.
* Can be written in a more concise form using ternary operators.

Cons:

* Typically slower than native implementations, as it involves additional computations and conditional statements.
* May require more lines of code, making it harder to read and maintain.

**Library Usage**

In this benchmark, the `Math` library is not explicitly required, but its implementation can affect the performance of the `mathClampNative` function. The behavior of `Math.max` and `Math.min` may vary between browsers or versions, which could impact the native approach's performance.

**Special JS Feature/Syntax**

The benchmark does not require any special JavaScript features or syntax beyond what is commonly available in modern browsers. There are no advanced language constructs like async/await, generators, or decorators used in this benchmark.

**Alternatives**

Other alternatives for implementing a clamp function might include:

1. Using bitwise operations to achieve the same result as the ternary operator.
2. Utilizing other programming languages or libraries (e.g., C++ or NumJS) that provide efficient numerical computations.
3. Implementing a custom binary search algorithm to find the clamped value, which could be more efficient for large ranges.

However, these alternatives are not typically considered in JavaScript benchmarks like MeasureThat.net, as they may require additional infrastructure or libraries beyond what is commonly available in modern browsers.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.99 Safari/537.36

Browser/OS: Chrome 97 on Linux

View result in a separate tab

Test name	Executions per second
Math.max/min	3055965.2 Ops/sec
ternary	8248676.5 Ops/sec

Related benchmarks:

Math.max/min vs ternary operator (in functions) (version: 0)

Comparing performance of: Math.max/min vs ternary

Created: 3 years ago by: Guest

Jump to the latest result

Math.max/min

ternary

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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