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(version: 0)
Comparing performance of:
r vs s
Created:
3 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<div id='min-data'></div>
Tests:
r
const div = document.getElementById('min-data'); const newArray = []; for(let i = 0; i < 100; i++){ const num = Math.floor(Math.random() * 100000); newArray.push(num); } newArray.reduce((a, b) => (a < b ? a : b), []); div.innerHTML = newArray[0].toString();
s
const div = document.getElementById('min-data'); const newArray = []; for(let i = 0; i < 100; i++){ const num = Math.floor(Math.random() * 100000); newArray.push(num); } newArray.sort((a, b) => a - b); div.innerHTML = newArray[0].toString();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
r
s
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark information for you. **Benchmark Overview** The benchmark is designed to measure the performance of JavaScript execution on different browsers and devices. It consists of two individual test cases, represented as JSON objects: "r" and "s". These tests are designed to compare the performance of reducing an array of random numbers in ascending order (test case "s") versus sorting the same array in ascending order (test case "r"). **Script Preparation Code** The script preparation code for each benchmark is empty (`null`), which means that the test framework will automatically generate a fresh JavaScript context for each execution. **Test Cases** ### Test Case "r" * **Benchmark Definition**: This test case uses a simple JavaScript function to reduce an array of 100 random numbers in ascending order. The `reduce()` method is used with a custom comparison function. + Purpose: To measure the performance of reducing an array. + Library/Functions Used: None ( native JavaScript built-in functions). * **Pros**: + Simple and well-defined problem. + Can be easily implemented by anyone. * **Cons**: + The problem is relatively simple, which might make it less representative of real-world performance scenarios. ### Test Case "s" * **Benchmark Definition**: This test case uses a similar approach to the previous one, but instead of reducing the array, it sorts the same array in ascending order using the `sort()` method with a custom comparison function. + Purpose: To measure the performance of sorting an array. + Library/Functions Used: None (native JavaScript built-in functions). * **Pros**: + Similar to the previous test case, providing a clear and well-defined problem. + Can be easily implemented by anyone. * **Cons**: + As with the previous test case, the problem is relatively simple. **Browser and Device Information** The latest benchmark result shows that both test cases were executed on Chrome 111 running on a desktop device with Windows operating system. The browser's user agent string and device platform are included in the result to provide more context. **Alternative Approaches** There are several alternative approaches to measuring JavaScript performance: 1. **Math-intensive calculations**: Measure the performance of complex mathematical operations, such as matrix multiplication or arbitrary-precision arithmetic. 2. ** DOM manipulation**: Measure the performance of manipulating HTML documents, including rendering and updating the DOM. 3. **Web storage**: Measure the performance of storing and retrieving data using Web Storage (localStorage or sessionStorage). 4. **Multi-threaded execution**: Measure the performance of executing multiple threads concurrently. 5. **Different browser engines**: Compare the performance of JavaScript execution across different browser engines, such as V8, SpiderMonkey, or SquirrelFish. These alternative approaches can provide more representative results for real-world performance scenarios and help identify specific performance bottlenecks in JavaScript applications. Keep in mind that these alternatives may require more complex setup and testing procedures, but they can provide valuable insights into the performance characteristics of different JavaScript implementations.
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