Benchmark: math pow of 0 vs pow of 54

Tests:

pow 0
var x = Math.pow(0,2);
pow 2
var x = Math.pow(54,2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
pow 0
pow 2

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36

Browser/OS: Chrome 128 on Windows

View result in a separate tab

Test name	Executions per second
pow 0	19843012.0 Ops/sec
pow 2	19648338.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and explore what's being tested in this benchmark.

**Benchmark Definition**

The benchmark definition is represented by two test cases, each with its own script that calculates `x = Math.pow(0, 2)` and `x = Math.pow(54, 2)`, respectively. The purpose of these tests is to measure the performance difference between raising a number to the power of zero versus raising a larger number (54 in this case) to the same power.

**Options Compared**

In this benchmark, two options are being compared:

1. **Raising a number to the power of 0**: This operation always returns 1, regardless of the input value.
2. **Raising a larger number (54) to the power of 2**: This operation is more computationally intensive than raising a number to the power of 0.

**Pros and Cons**

* **Raising a number to the power of 0**:
	+ Pros: Always returns a known result (1), reducing uncertainty in benchmarking.
	+ Cons: May not accurately represent real-world scenarios, where zeros are common inputs.
* **Raising a larger number (54) to the power of 2**:
	+ Pros: More representative of real-world scenarios, where large numbers and exponentiation are used frequently.
	+ Cons: Requires more computations, making it slower than raising a number to the power of 0.

**Other Considerations**

* The benchmark uses JavaScript's built-in `Math.pow` function, which is optimized for performance.
* The test cases use simple arithmetic operations, minimizing overhead and maximizing focus on the specific operation being measured.

**Library: Math.pow**

The `Math.pow` function is a built-in JavaScript library that performs exponentiation. It takes two arguments: the base value and the exponent. In this benchmark, it's used to raise numbers to various powers.

**Special JS Feature/Syntax**

None mentioned in this specific benchmark definition.

**Alternatives**

If you wanted to create a similar benchmark using MeasureThat.net, you could try different options, such as:

* Measuring the performance of `Math.sqrt` with different input values (e.g., 0, 1, 100).
* Comparing the speed of basic arithmetic operations like addition (`x = 2 + 3`) versus multiplication (`x = 2 * 3`) or exponentiation.
* Using a library like jQuery Math or NumJS to perform mathematical operations and measuring their performance.

Related benchmarks:

math pow of 0 vs pow of 54 (version: 0)

Comparing performance of: pow 0 vs pow 2

Created: one year ago by: Guest

Jump to the latest result

pow 0

pow 2

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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