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fastest clamp
(version: 0)
Benchmark.js
Comparing performance of:
operators vs math
Created:
3 years ago
by:
Registered User
Go to the latest result
Tests:
operators
const clamp = (t, min, max) => t < min ? min : t > max ? max : t; let s = 0; for (let i=0; i<1000; i++) s += clamp(i, -1, 1);
math
const clamp = (t, min, max) => Math.min(max, Math.max(min, t)); let s = 0; for (let i=0; i<1000; i++) s += clamp(i, -1, 1);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
operators
math
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36 Edg/150.0.0.0
Browser/OS:
Chrome 150 on Windows
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<iframe src="https://measurethat.net/Embed?id=633273" width="100%" height="500px"></iframe>
operators
1.4M/s
math
1.2M/s
View exact numbers
Test name
Executions per second
✓
operators
1,362,464 Ops/sec
math
1,151,660 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and analyze what's being tested. The provided JSON represents two test cases for measuring the performance of JavaScript microbenchmarks on different approaches to implementing the `clamp` function, which limits a value to a specified range. **Benchmark Definition:** The benchmark definition is a JavaScript code snippet that defines the `clamp` function in two ways: 1. Using simple comparison operators (`<`, `>`): ```javascript const clamp = (t, min, max) => t < min ? min : t > max ? max : t; ``` 2. Using the `Math.min` and `Math.max` functions: ```javascript const clamp = (t, min, max) => Math.min(max, Math.max(min, t)); ``` The benchmark prepares a script that sets up a variable `s` to accumulate the results of repeatedly calling the `clamp` function with different inputs. **Test Cases:** There are two test cases: 1. **"operators"`**: This test case uses the simple comparison operator approach. 2. **"math"`**: This test case uses the `Math.min` and `Math.max` functions approach. **Options Compared:** * Using simple comparison operators (`<`, `>`) versus using the `Math.min` and `Math.max` functions. * The pros of each approach are: + Simple comparison operator approach: - Easier to understand and implement. - Possibly faster due to fewer function calls. + `Math.min` and `Math.max` functions approach: - More concise and expressive code. - Likely to be more efficient due to the optimized implementation of these functions. * The cons of each approach are: + Simple comparison operator approach: - May be slower due to the overhead of repeated function calls. - Less readable code. + `Math.min` and `Math.max` functions approach: - More complex code that may be harder to understand for some readers. **Library Used:** None. **Special JS Feature or Syntax:** None mentioned. Now, let's discuss the alternative approaches: 1. **Using ternary operators**: This approach would use a single expression with multiple conditions, like this: ```javascript const clamp = (t, min, max) => t < min ? max : t > max ? min : t; ``` This approach is similar to the simple comparison operator approach but uses a more concise syntax. 2. **Using bitwise operators**: This approach would use bitwise operations to implement the `clamp` function, like this: ```javascript const clamp = (t, min, max) => t < min ? min | 0 : t > max ? max | 0 : t; ``` This approach is likely to be slower than using simple comparison operators or `Math.min` and `Math.max` functions. 3. **Using a dedicated clipping library**: This approach would use an existing library that provides optimized clipping functions, like this: ```javascript const clamp = require('clipping'); const s = 0; for (let i=0; i<1000; i++) s += clamp(i, -1, 1); ``` This approach would likely be faster than using the simple comparison operator or `Math.min` and `Math.max` functions approaches, but may add dependency on an external library. Note that these alternative approaches are not necessarily better or worse than the original approaches; they are just different ways to implement the `clamp` function.
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