Benchmark: priv_28409238402384

Script Preparation code:

const toTitleCase = str => str.replace('_', ' ').replace(/(^\w|\s\w)/g, m => m.toUpperCase());

Tests:

priv_24234234
const toTitleCase = str => str.replace('_', ' ').replace(/(^\w|\s\w)/g, m => m.toUpperCase()); toTitleCase('test_string')
priv_424234
const toTitleCase = str => str.replace('_', ' ').replace(/(^\w|\s\w)/g, m => m.toUpperCase()); toTitleCase('test_string')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
priv_24234234
priv_424234

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36

Browser/OS: Chrome 95 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
priv_24234234	961110.2 Ops/sec
priv_424234	971305.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

Let's break down what's being tested in the provided benchmark.

**Benchmark Definition**

The benchmark definition is a JSON object that contains the following information:

* `Name`: A unique identifier for the benchmark, which is "priv_28409238402384".
* `Description`: A brief description of the benchmark, which is "priv_24234324324234". This seems to be an arbitrary string and doesn't provide any meaningful information about what's being tested.
* `Script Preparation Code`: A JavaScript function that takes a string as input and converts it to title case. The function uses regular expressions to replace underscores with spaces and uppercase the first character of each word.
* `Html Preparation Code`: This field is empty, which means no HTML code is prepared for this benchmark.

**Individual Test Cases**

The benchmark consists of two test cases, each represented as an object:

* Each object contains a unique identifier (e.g., "priv_24234234").
* The `Benchmark Definition` field in each object references the same JavaScript function (`const toTitleCase`) and uses the same input string ("test_string").

**What's being tested**

Based on the script preparation code, it appears that this benchmark is testing the performance of a simple string processing function, specifically the conversion of strings from title case to standard case. The benchmark measures how fast the JavaScript engine can execute this function.

**Options compared**

Since there are only two test cases with identical `Benchmark Definition` fields, it's likely that the benchmark is comparing the execution times of the same JavaScript code on different systems or browsers. In other words, it's testing whether the performance of the JavaScript engine varies depending on the environment in which it's running.

**Pros and Cons**

Comparing execution times for the same code on different environments can provide valuable insights into the performance characteristics of the JavaScript engine. However, this approach has some limitations:

* The benchmark is only measuring the performance of a single function, which might not be representative of real-world scenarios.
* The results may not account for other factors that could affect performance, such as memory usage or garbage collection overhead.

**Library and its purpose**

There is no explicit library mentioned in the benchmark definition. However, it's likely that the `toTitleCase` function uses a built-in JavaScript regular expression engine to perform the string replacements.

**Special JS feature or syntax**

This benchmark doesn't appear to use any special JavaScript features or syntax beyond regular expressions and ES6-style functions (e.g., arrow functions). If there were any additional features or syntax used, it would likely require further explanation to understand their impact on performance.

**Other alternatives**

If you're interested in creating benchmarks for JavaScript performance, here are some alternative approaches:

1. **Microbenchmarking libraries**: Consider using specialized microbenchmarking libraries like `js-benchmark`, `micro-benchmarks`, or ` benchmark.js`, which provide more robust and flexible ways to define and run benchmarks.
2. **Browser-specific benchmarks**: Instead of comparing execution times for the same code, try creating benchmarks that test specific browser features or behaviors, such as rendering performance or DOM manipulation speed.
3. **Real-world scenarios**: Create benchmarks that mimic real-world use cases, such as simulating user input events or benchmarking the performance of a web application under load.

By exploring different approaches and techniques, you can create more comprehensive and relevant benchmarks for JavaScript performance testing.

Related benchmarks:

priv_28409238402384 (version: 0)

priv_24234324324234

Comparing performance of: priv_24234234 vs priv_424234

Created: 3 years ago by: Guest

Jump to the latest result

priv_24234234

priv_424234

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):