Benchmark: Math.pow performance

Tests:

Pow of 2
var x = Math.pow(54,2);
Pow of 10
var x = Math.pow(54,10);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Pow of 2
Pow of 10

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36

Browser/OS: Chrome 120 on Windows

View result in a separate tab

Test name	Executions per second
Pow of 2	3195189.0 Ops/sec
Pow of 10	3064661.5 Ops/sec

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

LLMs can make mistakes. Check important info.

Measuring the performance of JavaScript microbenchmarks like the ones on MeasureThat.net can be fascinating.

**Benchmark Definition**

The benchmark definition is the core part of the test, which is executed to measure the performance of the system being tested (in this case, various browsers). The provided JSON shows that there are two distinct definitions:

1. `var x = Math.pow(54,2);` - This line calculates the square of 54 using the built-in `Math.pow()` function.
2. `var x = Math.pow(54,10);` - This line calculates the power of 54 with an exponent of 10 using the same `Math.pow()` function.

**Options Compared**

These two test cases compare the performance of different approaches for calculating powers:

1. **Native Implementation**: The built-in `Math.pow()` function used in both test cases.
2. **Optimized Library or Extension Function**: None mentioned explicitly, but there might be libraries or extensions that provide optimized versions of this function.

**Pros and Cons**

Here's a brief analysis of the pros and cons of each approach:

1. **Native Implementation (Math.pow())**
	* Pros:
		+ Generally efficient and well-optimized by browsers.
		+ Easy to implement and understand for developers.
	* Cons:
		+ May be slower than custom optimizations, depending on the implementation details.
2. **Optimized Library or Extension Function**
	* Pros:
		+ Can provide significant performance improvements over native implementations.
		+ Might offer additional features or control not available in native libraries.
	* Cons:
		+ Requires external dependencies (libraries) that might introduce overhead.
		+ Can be more difficult to implement and maintain.

**Library**

In the provided JSON, there is no explicit mention of a library being used for these calculations. However, it's worth noting that some modern browsers have implemented optimized versions of `Math.pow()` in their JavaScript engines, such as V8 (Chrome) or SpiderMonkey (Firefox).

**Special JS Feature/Syntax**

There are no special features or syntax mentioned in the provided JSON.

**Alternative Approaches**

If you want to explore alternative approaches for calculating powers, here are some examples:

1. **Custom implementation using bitwise operations**: This approach uses bitwise shifts and masks to calculate powers without relying on `Math.pow()`. It can be more efficient but requires careful optimization.
2. **Using exponentiation by squaring**: This is a mathematical technique that involves breaking down the exponent into smaller parts, calculating each part separately, and then combining them. This approach can provide good performance but might require additional calculations.

To try these alternative approaches, you would need to modify the `Benchmark Definition` lines in your test cases:

```javascript
// Custom implementation using bitwise operations (example)
var x = 54;
while (exponent-- > 0) {
    if (exponent & 1) {
        x *= 54;
    }
}
```

Or,

```javascript
// Exponentiation by squaring (example)
function pow(base, exponent) {
    let result = 1n;
    while (exponent > 0n) {
        if (exponent % 2n === 1n) {
            result *= base;
        }
        base *= base;
        exponent >>= 1n;
    }
    return result;
}

var x = pow(54n, 10n);
```

Keep in mind that these are simplified examples and might not be as efficient or accurate as the optimized implementations used by browsers.

I hope this explanation helps you understand what's being tested on MeasureThat.net!

Related benchmarks:

Math.pow performance (version: 0)

Comparing performance of: Pow of 2 vs Pow of 10

Created: 2 years ago by: Guest

Jump to the latest result

Pow of 2

Pow of 10

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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