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2's math pow vs shift vs exp
(version: 0)
Comparing performance of:
pow vs shift vs Exponentiation
Created:
5 years ago
by:
Guest
Go to the latest result
Tests:
pow
var x = Math.pow(2,18);
shift
var y = 1 << 18
Exponentiation
var y = 2 ** 18
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
pow
shift
Exponentiation
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36
Browser/OS:
Chrome 139 on Linux
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=616476" width="100%" height="500px"></iframe>
shift
145.7M/s
pow
141.2M/s
Exponentiation
137.0M/s
View exact numbers
Test name
Executions per second
✓
shift
145,692,880 Ops/sec
pow
141,218,080 Ops/sec
Exponentiation
136,951,808 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested, compared, and their pros/cons. **Benchmark Overview** The benchmark measures the performance of three different methods to calculate the power of 2: 1. `Math.pow(2,18)` 2. `1 << 18` (shift operation) 3. `2 ** 18` (exponentiation) These three operations are equivalent and should produce the same result. **Comparison** The benchmark compares the performance of these three methods across different browsers on mobile devices. **Pros/Cons of each approach:** 1. `Math.pow(2,18)`: * Pros: Simple and straightforward. * Cons: May be slower due to the overhead of function calls and the need for a dedicated math library. 2. `1 << 18` (shift operation): * Pros: Fast and efficient, as it's a bitwise shift operation that can be optimized by most CPUs. * Cons: May not work correctly if the result overflows the maximum value representable by an integer. 3. `2 ** 18` (exponentiation): * Pros: Can be faster than `Math.pow()` due to the use of a specialized exponentiation algorithm in some browsers. * Cons: May not be available in all browsers or environments, and may require additional calculations. **Library/Functionality Used** The benchmark uses the following libraries/functions: 1. `Math.pow()`: a built-in JavaScript function for calculating powers. 2. Bitwise shift operators (`<<`): native JavaScript operators for shifting bits. 3. Exponentiation operator (`**`): introduced in ECMAScript 2016 (ES6) as a shorthand for exponentiation. **Special JS Feature/Syntax** The benchmark uses the exponentiation operator (`**`) which was introduced in ES6. If your browser does not support ES6, this benchmark may not work correctly. **Other Alternatives** Some alternative methods to calculate powers could be used, such as: 1. Using a loop: `for (var i = 0; i < 18; i++) { x *= 2; }` 2. Using the `Math.log()` and `Math.exp()` functions: `x = Math.exp(Math.log(2) * 18)` 3. Using a custom implementation of exponentiation, such as using binary exponentiation. It's worth noting that these alternatives may not be as efficient or accurate as the three methods being compared in this benchmark.
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