Benchmark: jl-20250123c - MeasureThat.net

HTML Preparation code:

<!--your preparation HTML code goes here-->

Script Preparation code:

/*your preparation JavaScript code goes here
To execute async code during the script preparation, wrap it as function globalMeasureThatScriptPrepareFunction, example:*/
async function globalMeasureThatScriptPrepareFunction() {
    // This function is optional, feel free to remove it.
    // await someThing();
}

Tests:

slow
JSON.stringify({ "results": [ { "gender": "female", "name": { "title": "Miss", "first": "Jennie", "last": "Nichols" }, "picture": { "large": "https://randomuser.me/api/portraits/men/75.jpg", "medium": "https://randomuser.me/api/portraits/med/men/75.jpg", "thumbnail": "https://randomuser.me/api/portraits/thumb/men/75.jpg" }, "nat": "US" } ], "info": { "seed": "56d27f4a53bd5441", "results": 1, "page": 1, "version": "1.4" } })
quick
var tmp = 1+1

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slow
quick

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36

Browser/OS: Chrome 132 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
slow	2250461.8 Ops/sec
quick	214726112.0 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):

LLMs can make mistakes. Check important info.

The benchmark defined by MeasureThat.net focuses on evaluating the performance of two different types of JavaScript operations: the execution time of a basic arithmetic operation and the serialization of a JavaScript object into a JSON string.

### Test Cases Analysis

1. **Test Name: "quick"**
   - **Benchmark Definition:** `var tmp = 1 + 1`
   - **What It Tests:** This test measures the speed of a simple arithmetic operation (addition of two numbers). 
   - **Performance Expectation:** This is a basic operation expected to execute almost instantaneously, reflecting the JavaScript engine's efficiency with fundamental computations.
   - **Executions Per Second (EPS):** 214,726,112.0
   - **Pros:** 
     - Simple and fast to execute.
     - Minimal resource usage and overhead.
   - **Cons:** 
     - Does not provide insight into more complex scenarios or code paths.

2. **Test Name: "slow"**
   - **Benchmark Definition:** `JSON.stringify({...})`
   - **What It Tests:** This test evaluates the performance of converting a complex JavaScript object (containing nested structures) into a JSON string. 
   - **Performance Expectation:** Serialization is typically more processor-intensive than basic arithmetic, as it involves traversing the object structure and formatting it as a string.
   - **Executions Per Second (EPS):** 2,250,461.75
   - **Pros:** 
     - Useful for understanding how well the JavaScript engine handles more complex data manipulations.
     - Important for applications that frequently serialize and deserialize data (e.g., APIs, data storage).
   - **Cons:** 
     - More resource-intensive compared to simple operations.
     - Takes longer to execute, and the performance may vary significantly with the object's complexity.

### Additional Considerations

- **JavaScript Features:** The benchmark does not use any special JavaScript features or syntax that require in-depth explanation. It utilizes basic operations, notably the `+` operator for arithmetic and the `JSON.stringify` method for object serialization. 
- **Libraries Used:** This benchmark does not employ any external libraries; it leverages built-in JavaScript functionality, like the `JSON` object, which is part of the ECMAScript standard. The primary purpose of `JSON.stringify()` is to convert data structures into a format that can be easily transmitted or stored, such as in web applications or APIs.

### Alternatives and Considerations

- **Other Alternatives for Benchmarking:**
  - **Performance.now()**: For more granular timing measurements, you might wrap each test case with this method to capture execution time directly.
  - **Using Libraries:** Libraries like Benchmark.js can provide more detailed insights via statistical representations of performance, with options for more complex comparisons, such as accuracy and deviation measures.
  - **Other Operations:** For a fuller picture of JavaScript performance, consider testing computations that involve arrays (like `.map()` or `.reduce()`), asynchronous operations, or DOM manipulations.

### Conclusion

In summary, the benchmark assesses the performance of two operations: a quick arithmetic operation against the more complex `JSON.stringify()`, reflecting the efficient handling of simple versus nested data structures in JavaScript. This comparative approach helps developers identify performance characteristics and potential bottlenecks when designing applications that utilize JavaScript for data processing.

Related benchmarks:

jl-20250123c (version: 1)

Comparing performance of: slow vs quick

Created: one year ago by: Guest

Jump to the latest result

slow

quick

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):