Toggle navigation
MeasureThat
.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
math pow of 0 vs pow of 54
(version: 0)
Comparing performance of:
pow 0 vs pow 2
Created:
one year ago
by:
Guest
Go to the latest result
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>
Run tests (2)
Previous results
Fork
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
Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=540726" width="100%" height="500px"></iframe>
pow 0
19.8M/s
pow 2
19.6M/s
View exact numbers
Test name
Executions per second
✓
pow 0
19,843,012 Ops/sec
pow 2
19,648,338 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
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 vs multiply vs multiply2
pow vs exponentiation
Math.pow vs Exponentiation vs Multiplication pow 4
math.pow vs multiply vs exponentiation
Comments
Confirm delete:
Do you really want to delete benchmark?