var values = new Array(5000);for (let i = 0; i < values.length; ++i) { values[i] = i % 20;}return Math.max.apply(null, values);return values.reduce((prev, curr) => prev > curr ? prev : curr , 0);--enable-precise-memory-info flag.
| Test case name | Result |
|---|---|
| Math.max | |
| Reduce |
| Test name | Executions per second |
|---|---|
| Math.max | 103321.5 Ops/sec |
| Reduce | 354077.0 Ops/sec |
Let's break down the provided JSON and explain what is tested on it, the options compared, their pros and cons, and other considerations.
Benchmark Definition
The benchmark compares the speed of two approaches: Math.max() vs Array.reduce(). The test is designed to measure the performance difference between these two methods when applied to an array of values.
Script Preparation Code
The script preparation code generates a large array (values) with 5000 elements, where each element is calculated as the remainder of its index divided by 20. This ensures that the array contains a diverse range of values, making it more representative for benchmarking purposes.
Html Preparation Code
There is no HTML preparation code provided, which suggests that this benchmark focuses solely on JavaScript performance and does not take into account other factors like rendering or layout.
Test Cases
The test cases consist of two individual benchmarks:
Math.max(): This benchmark uses the Math.max() function with the apply() method to find the maximum value in the values array.Reduce: This benchmark uses the reduce() method to find the maximum value in the values array.Libraries
There are no libraries explicitly mentioned in the provided code. However, it's worth noting that the Math.max() function is a built-in JavaScript function, while the reduce() method is part of the Array prototype.
Special JS Features/Syntax
The benchmark uses the following special JS features:
=>) in the Reduce test case.apply() method in the Math.max() test case.These features are not specific to this benchmark and are commonly used in JavaScript development.
Other Alternatives
To achieve similar results, other approaches could be explored:
Math.max() with a custom comparator function instead of apply().values array before applying reduce() or Math.max().Pros and Cons
Here's a brief summary of the pros and cons of each approach:
Math.max() with apply(): Pros - straightforward implementation, good performance for small arrays. Cons - may not be suitable for large arrays due to the overhead of apply().Array.reduce(): Pros - efficient for large arrays, can be easily parallelized. Cons - may require more code and setup compared to Math.max().Ultimately, the choice between these approaches depends on the specific use case, performance requirements, and personal preference.
Benchmark Results
The provided benchmark results show that:
Reduce test case has a higher execution rate (354077.03125 executions per second) compared to the Math.max() test case (103321.453125 executions per second).Array.reduce() is generally faster than Math.max() for this specific benchmark.Keep in mind that these results may vary depending on the specific hardware, software configuration, and other factors.
