Benchmark: Math pow vs ** test

Tests:

Test
let x = Math.pow(1.23, 4.56);
Test2
let x = 1.23 ** 4.56;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Test
Test2

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, compared, and the pros and cons of each approach.

**Benchmark Definition**

The `Math.pow` vs `**` test compares two ways to calculate exponentiation in JavaScript: using the `Math.pow` function or the exponentiation operator (`**`). Both methods are used to raise a base number (1.23) to a power (4.56).

**Options Compared**

Two options are being compared:

1. **Math.pow**: This method uses a trigonometric formula to calculate exponentiation, which is more efficient than a simple iterative approach.
2. **`**` operator**: This method uses a binary operation to calculate exponentiation, which can be slower than `Math.pow` due to its overhead.

**Pros and Cons**

1. **Math.pow**:
	* Pros: More efficient, accurate, and less prone to rounding errors.
	* Cons: May have additional dependencies (e.g., math library) and may not work in all browsers or environments.
2. **`**` operator**:
	* Pros: Simpler implementation, easier to understand, and more accessible to JavaScript novices.
	* Cons: Can be slower due to binary operation overhead, and may not work in all browsers or environments.

**Library Used**

There is no explicit library mentioned in the benchmark definition. However, `Math.pow` relies on the math library, which is a built-in part of most JavaScript engines (including V8, used by Chrome).

**Special JS Feature/Syntax**

No special features or syntax are being tested in this benchmark.

**Other Considerations**

The test runs multiple executions per second to get an accurate measure of performance. The `ExecutionsPerSecond` metric provides a good idea of which method is faster for each execution.

**Alternatives**

If you want to explore alternative methods, consider the following:

1. **`**` operator with exponentiation approximation**: You can implement your own binary exponentiation algorithm using bitwise operations. This approach may be faster than `Math.pow` but still slower than the built-in method.
2. **NativeWebAssembly (WASM)**: Some browsers, like Chrome and Firefox, support WASM, which allows you to execute compiled code directly in the browser. You can use a WASM module to perform exponentiation using a native algorithm.
3. **Just-In-Time (JIT) compilation**: Some JavaScript engines, like V8, have JIT compilers that optimize performance by compiling hot functions into machine code. You can explore writing your own JIT compiler or using existing libraries that do.

Keep in mind that these alternatives may require significant development effort and resources to implement correctly.

I hope this explanation helps you understand the benchmark and its comparisons!

Latest run results:

Run details: (Test run date: 3 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36

Browser/OS: Chrome 127 on Windows

View result in a separate tab

Test name	Executions per second
Test	7002129.5 Ops/sec
Test2	103978832.0 Ops/sec

Related benchmarks:

Math pow vs ** test (version: 0)

Comparing performance of: Test vs Test2

Created: 3 months ago by: Guest

Jump to the latest result

Test

Test2

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):