Benchmark: Math.pow - MeasureThat.net

Script Preparation code:

Math.pow(3.43970723766534, 0.5);

Tests:

POW
Math.pow(3.43970723766534,0.5);
SQRT
Math.sqrt(3.43970723766534)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
POW
SQRT

Fastest: N/A

Slowest: N/A

Autogenerated LLM Sumamry (model llama3.2:3b, generated 20 days ago):

LLMs can make mistakes. Check important info.

I'd be happy to help you understand what's being tested in this JavaScript microbenchmark.

**Benchmark Definition**
The benchmark definition is a JSON object that represents the JavaScript code snippet to be executed. In this case, there are two benchmarks:

1. `Math.pow(3.43970723766534, 0.5);` (referred to as "POW")
2. `Math.sqrt(3.43970723766534)` (referred to as "SQRT")

**Script Preparation Code**
The script preparation code is a line of JavaScript that is executed before the actual benchmark code is run. In this case, the preparation code for both benchmarks is simply `Math.pow(3.43970723766534, 0.5);`, which calculates the square root of the given number.

**Html Preparation Code**
The html preparation code is not provided in this benchmark definition, so we won't be discussing it here.

**Options Compared**
In this benchmark, two options are being compared:

1. `Math.pow(3.43970723766534, 0.5);` ( POW )
2. `Math.sqrt(3.43970723766534)` ( SQRT )

Both expressions calculate the square root of the same number, but using different methods: exponentiation (`pow`) vs. taking the square root directly.

**Pros and Cons of Different Approaches**

Using `Math.pow`:
Pros:

* More explicit and clear in its intention
* Less prone to errors due to its well-defined behavior

Cons:

* May be slower than a direct square root calculation, depending on the implementation
* Requires an additional step (exponentiation) that may introduce additional overhead

Using `Math.sqrt`:
Pros:

* Directly calculates the square root, avoiding the need for exponentiation
* May be faster due to its optimized implementation in the browser's Math library

Cons:

* Less explicit and clear in its intention, which might lead to errors or confusion
* May rely on the browser's Math library implementation, which may vary across different browsers and platforms.

**Library and Purpose**
The `Math` library is a built-in JavaScript library that provides various mathematical functions, including exponentiation (`pow`) and square root (`sqrt`). The purpose of this library is to provide a convenient way for developers to perform mathematical calculations without having to implement them themselves.

**Special JS Feature or Syntax**
There doesn't seem to be any special JavaScript feature or syntax being used in this benchmark. However, it's worth noting that the `Math` library itself uses some internal implementation details and optimizations that may not be immediately apparent to developers.

**Other Alternatives**

If you wanted to run a similar benchmark with different implementations, here are some alternatives:

1. Use a different exponentiation function, such as `Math.exp(x/2)` or a custom implementation.
2. Use a different square root function, such as `Math.hypot(x, y)` or a custom implementation.
3. Compare the performance of different JavaScript engines, such as V8 (used by Chrome), SpiderMonkey (used by Firefox), or V8-inspired implementations.

Keep in mind that these alternatives would require significant changes to the benchmark definition and test setup, but could provide interesting insights into the performance characteristics of different JavaScript implementations.

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.1 Safari/605.1.15

Browser/OS: Safari 13 on Mac OS X 10.13.6

View result in a separate tab

Test name	Executions per second
POW	4677815.5 Ops/sec
SQRT	4630278.5 Ops/sec

Related benchmarks:

Math.pow (version: 0)

Comparing performance of: POW vs SQRT

Created: 6 years ago by: Guest

Jump to the latest result

POW

SQRT

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Sumamry (model llama3.2:3b, generated 20 days ago):