Benchmark: Math.pow vs multiplication with decimals and multiple integers

Tests:

pow
let array = []; for(let i = 0; i < 100; i++){ array.push(Math.pow(i,2)); } for(let i = 0; i < 100; i++){ const decimal = i+.1; array.push(Math.pow(decimal,2)); }
mult
let array = []; for(let i = 0; i < 100; i++){ array.push(i*i); } for(let i = 0; i < 100; i++){ const decimal = i+.1; array.push(decimal*decimal); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
pow
mult

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks, allowing them to compare the performance of different approaches in various scenarios.

The provided benchmark definition json represents a simple benchmark with two test cases: "pow" and "mult". The benchmark tests the performance difference between using `Math.pow` versus multiplication (with decimals) for large numbers. We'll dive into each test case, options being compared, pros/cons of those approaches, and other considerations.

**Test Case 1: pow**

The first test case is defined in the json as:
```javascript
"Benchmark Definition": "let array = [];\r\nfor(let i = 0; i < 100; i++){\r\narray.push(Math.pow(i,2));\r\n}\r\nfor(let i = 0; i < 100; i++){\r\nconst decimal = i+.1;\r\narray.push(Math.pow(decimal,2));\r\n}",
```
This test case iterates over an array of 100 numbers, pushing the square of each number (using `Math.pow`) to the array. Additionally, it pushes the square of a decimal value (`i+0.1`) to the same array.

**Options being compared:**

* Using `Math.pow` for squaring numbers
* Using multiplication (`*`) with decimals for squaring numbers

**Pros and Cons:**

* **Using `Math.pow`:**
	+ Pros:
		- More concise and readable code
		- Less prone to errors, as it's a built-in function
	+ Cons:
		- May be slower due to the overhead of calling a function
* **Using multiplication (`*`):**
	+ Pros:
		- Faster, as it's a simple arithmetic operation
	+ Cons:
		- More prone to errors, especially with decimals

**Test Case 2: mult**

The second test case is defined in the json as:
```javascript
"Benchmark Definition": "let array = [];\r\nfor(let i = 0; i < 100; i++){\r\narray.push(i*i);\r\n}\r\nfor(let i = 0; i < 100; i++){\r\nconst decimal = i+.1;\r\narray.push(decimal*decimal);\r\n}",
```
This test case is similar to the first one, but instead of using `Math.pow`, it uses multiplication (`*`) with decimals for squaring numbers.

**Options being compared:**

* Using `i*i` (square of an integer) versus multiplication (`*`) with decimals for squaring numbers

**Pros and Cons:**

* **Using `i*i`:**
	+ Pros:
		- Faster, as it's a simple arithmetic operation
	+ Cons:
		- More prone to errors, especially with decimals
* **Using multiplication (`*`):**
	+ Pros:
		- More concise and readable code (if you're comfortable working with decimals)
	+ Cons:
		- May be slower due to the overhead of calling a function

**Library usage:**

Neither test case uses any external libraries. The `Math` library is used implicitly for `Math.pow`, but it's not explicitly imported or required.

**Special JS features:**

There are no special JavaScript features (such as async/await, arrow functions, or classes) used in this benchmark.

**Other considerations:**

* Both test cases have a similar structure and use of variables, making them easy to compare.
* The benchmark is designed to test the performance difference between using `Math.pow` versus multiplication with decimals for squaring numbers.

If you're looking for alternatives to this benchmark, here are some options:

1. **Microbenchmarking libraries:** There are several microbenchmarking libraries available, such as Benchmark.js or Micro-Benchmark, that allow you to create and run more complex benchmarks.
2. **JavaScript performance profiling tools:** Tools like Chrome DevTools' Profiler or Firefox's Performance Tool provide more detailed insights into JavaScript performance, allowing you to optimize specific sections of code.
3. **Benchmarking frameworks:** Frameworks like Benchmark.js or JSPerf can help you create and run more comprehensive benchmarks, with features like benchmarking multiple iterations, statistical analysis, and more.

Keep in mind that the choice of alternative depends on your specific use case and requirements.

Latest run results:

Run details: (Test run date: 10 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:121.0) Gecko/20100101 Firefox/121.0

Browser/OS: Firefox 121 on Windows

View result in a separate tab

Test name	Executions per second
pow	1528646.8 Ops/sec
mult	1621803.6 Ops/sec

Related benchmarks:

Math.pow vs multiplication with decimals and multiple integers (version: 0)

Comparing performance of: pow vs mult

Created: 10 months ago by: Guest

Jump to the latest result

pow

mult

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):