Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Loop Times
(version: 6)
Comparing performance of:
100 times vs 10000 times vs 10000000 times
Created:
5 years ago
by:
Registered User
Jump to the latest result
Script Preparation code:
var k=0;
Tests:
100 times
for (var i = 0; i < 100; i++) { k = k + k; }
10000 times
for (var i = 0; i < 1000000; i++) { k = k + k; }
10000000 times
for (var i = 0; i < 10000000; i++) { k = k + k; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
Fork
Test case name
Result
100 times
10000 times
10000000 times
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and test cases to understand what is being tested. **Benchmark Definition** The benchmark definition is a JSON object that provides basic information about the benchmark. In this case, it has three properties: * `Name`: The name of the benchmark, which is "Loop Times". * `Description`: An optional description of the benchmark, which is null in this case. * `Script Preparation Code` and `Html Preparation Code`: These are JavaScript code snippets that are executed before running each test case. In this case, they both contain a variable `k` initialized to 0. **Test Cases** The test cases are an array of objects, each representing a single test. Each object has two properties: * `Benchmark Definition`: A string containing the actual benchmarking code, written in JavaScript. * `Test Name`: The name of the test case. In this case, there are three test cases: 1. A simple loop that increments `k` by itself 100 times. 2. A similar loop that increments `k` by itself 10,000 times. 3. Another loop that increments `k` by itself 10,000,000 times. **Library Usage** None of the benchmarking code uses any external libraries. **Special JavaScript Features or Syntax** There are no special JavaScript features or syntax being used in this benchmarking code. **Options Compared** The only option being compared is the loop size (100, 10,000, and 10,000,000) to measure their performance impact. **Pros and Cons of Different Approaches** * **Small Loop (100)**: This loop is likely to be the fastest due to its small size. However, it may not provide meaningful results for this benchmark. * **Medium Loop (10,000)**: This loop is a good balance between speed and relevance. It should provide a reasonable estimate of the performance impact of increasing loop sizes. * **Large Loop (10,000,000)**: This loop is likely to be the slowest due to its extremely large size. However, it may still provide useful insights into the performance characteristics of the benchmark. **Other Considerations** When interpreting these results, it's essential to consider the following factors: * **Cache effects**: The size of the loop can impact cache behavior, which may affect performance. * **Parallel execution**: If multiple cores are available, executing multiple loops in parallel could improve performance. However, this is not explicitly tested in this benchmark. * **System load**: The number of executions per second may be affected by system load, such as other running processes or disk I/O. **Alternatives** Other alternatives for measuring loop performance might include: * Using a different data structure, such as an array or a linked list, to see if it has a significant impact on performance. * Introducing randomization or variation in the benchmarking code to simulate real-world scenarios. * Measuring performance under different conditions, such as varying system loads or network latency. By considering these alternatives and understanding the options being compared, you can gain a deeper insight into the performance characteristics of your JavaScript code.
Related benchmarks:
Testing loops performance
Powers of two
Powers of two
For loop test #1
Simple value assignment
Comments
Confirm delete:
Do you really want to delete benchmark?