Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Math.pow(x, 2) vs. x * x
(version: 0)
Comparing performance of:
Math.pow vs x * x
Created:
3 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var numbers = Array.from(Array(10000), (_,x) => (Math.random()*x));
Tests:
Math.pow
numbers.map(x => Math.pow(x, 2));
x * x
numbers.map(x => x * x);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Math.pow
x * x
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
Browser/OS:
Chrome 137 on Windows
View result in a separate tab
Embed
Embed Benchmark Result
Test name
Executions per second
Math.pow
12425.9 Ops/sec
x * x
15813.7 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The benchmark in question compares the performance of two approaches: `Math.pow(x, 2)` and `x * x`. These two expressions are used to calculate the square of a number. **Options Compared** The benchmark compares the following options: 1. **`Math.pow(x, 2)`**: This is a built-in JavaScript function that raises `x` to the power of 2. 2. **`x * x`**: This is a simple arithmetic expression that multiplies `x` by itself. **Pros and Cons** Both approaches have their pros and cons: * **`Math.pow(x, 2)`**: + Pros: More concise and readable, uses built-in function. + Cons: May incur additional overhead due to the function call. * **`x * x`**: + Pros: Simple and efficient, no function call overhead. + Cons: Less readable and more verbose. **Library Usage** There is no library used in this benchmark. The expressions `Math.pow(x, 2)` and `x * x` are built-in JavaScript syntax. **Special JS Features or Syntax** No special features or syntax are used in this benchmark. **Other Considerations** When choosing between these two approaches, consider the following: * Readability: If code readability is important, using `Math.pow(x, 2)` may be a better choice. * Performance: If performance is critical and every byte counts, using `x * x` may be a better choice. **Alternatives** If you wanted to compare other approaches, some alternatives could include: 1. **Using a library**: Using a library likelodash or MathJS, which provide optimized mathematical functions, might offer better performance. 2. **Vectorization**: If working with large arrays, using vectorized operations (e.g., `vec.pow(2)`) may be faster than iterating over the array. 3. **SIMD instructions**: Modern CPUs support SIMD (Single Instruction, Multiple Data) instructions, which can significantly speed up mathematical operations on vectors. However, these alternatives would require more complex setup and might not provide a direct comparison to the original `Math.pow(x, 2)` vs. `x * x` benchmark.
Related benchmarks:
Math.pow(x,0.5) vs x ** 0.5
Math.pow(x,0.5) vs Math.sqrt(x) 12
sqrt vs pow vs **
Math.pow(x,0.5) vs Math.sqrt(x) 2
Comments
Confirm delete:
Do you really want to delete benchmark?