Benchmark: Math.pow(x,0.5) vs Math.sqrt(x) vs **

Script Preparation code:

var numbers = Array.from(Array(10000), (_,x) => (Math.random()*x));

Tests:

Math.sqrt
numbers.forEach(x => Math.sqrt(x));
sqrt with Math.pow
numbers.forEach(x => Math.pow(x,0.5));
sqrt with astrisk **
numbers.forEach(x => x**0.5);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.sqrt
sqrt with Math.pow
sqrt with astrisk **

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/114.0.0.0 Safari/537.36

Browser/OS: Chrome 114 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Math.sqrt	504.3 Ops/sec
sqrt with Math.pow	507.1 Ops/sec
sqrt with astrisk **	83952.6 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition JSON**

The benchmark definition is a JSON object that contains information about the test case being measured. In this case, we have three test cases:

* "Name": The name of the benchmark, which is "Math.pow(x,0.5) vs Math.sqrt(x) vs **".
* "Description": An empty string, indicating no description for this benchmark.
* "Script Preparation Code": A script that generates an array of 10,000 random numbers using `Array.from` and `Math.random`.
* "Html Preparation Code": An empty string, indicating no HTML preparation code is needed.

**Test Cases**

We have three individual test cases:

1. **"Math.sqrt"`: This test case measures the execution time of the `Math.sqrt` function.
2. **"sqrt with Math.pow"`: This test case measures the execution time of the expression `Math.pow(x, 0.5)` (using `Math.pow`) to calculate the square root of a number.
3. **"sqrt with astrisk **"`: This test case measures the execution time of the expression `x**0.5` (using the exponentiation operator `**`) to calculate the square root of a number.

**Options Compared**

The three test cases are comparing different approaches to calculating the square root of a number:

* `Math.sqrt`: The built-in square root function in JavaScript.
* `Math.pow(x, 0.5)`: Using the `Math.pow` function to raise a number to the power of 0.5 (i.e., calculate its square root).
* `x**0.5`: Using the exponentiation operator `**` to calculate the square root of a number.

**Pros and Cons**

Here's a brief analysis of each approach:

* `Math.sqrt`:
	+ Pros: Fast, efficient, and well-optimized by JavaScript engines.
	+ Cons: May not be as intuitive or familiar to developers who are used to using the exponentiation operator.
* `Math.pow(x, 0.5)`: 
	+ Pros: Explicitly conveys the intention of calculating the square root, making it easier for developers to understand and modify the code.
	+ Cons: May be slower than using the built-in square root function due to the overhead of calling a separate function.
* `x**0.5`:
	+ Pros: Simple, concise, and easy to read.
	+ Cons: May not be as efficient or well-optimized by JavaScript engines due to the unconventional use of the exponentiation operator for this purpose.

**Library Use**

None of the test cases explicitly uses any libraries or external dependencies.

**Special JS Feature/Syntax**

The test case "sqrt with astrisk **" uses a special syntax in JavaScript, which is the exponentiation operator `**`. This operator is not typically used to calculate square roots, and it's interesting to see how MeasureThat.net measures its performance compared to other approaches.

**Other Alternatives**

If you're interested in exploring alternative approaches or libraries for calculating square roots in JavaScript, here are a few options:

* Using the `Bigr` library, which provides a fast and accurate implementation of the Babylonian method for calculating square roots.
* Implementing your own square root calculation algorithm using a different mathematical approach, such as the long division method or the Newton-Raphson method.

Keep in mind that these alternatives may not be part of MeasureThat.net's benchmark suite, and you would need to create your own test cases to evaluate their performance.

Related benchmarks:

Math.pow(x,0.5) vs Math.sqrt(x) vs ** (version: 0)

Comparing performance of: Math.sqrt vs sqrt with Math.pow vs sqrt with astrisk **

Created: 2 years ago by: Guest

Jump to the latest result

Math.sqrt

sqrt with Math.pow

sqrt with astrisk **

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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