Benchmark: asdawefwef - MeasureThat.net

Script Preparation code:

var stringPropname = 1944120404
var arrFaultBits = []
var handle = []
handle[0]=stringPropname

                        function test(input) {                     
                          for (i=0; i<input.toString(2).length; i++){
                            arrFaultBits[i] = parseInt((input.toString(2))[i]);
                        }
                                                      }
test(stringPropname)

Tests:

1
stringPropname = 1944120404
2
stringPropname = 194412
3
stringPropname = 19
4
stringPropname = -10

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2
3
4

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):

LLMs can make mistakes. Check important info.

Measuring JavaScript performance is an essential aspect of ensuring the efficiency and reliability of web applications.

**Benchmark Definition**

The provided benchmark definition represents a basic test case that measures the execution time of a JavaScript function. The script preparation code sets up two variables: `stringPropname` and `arrFaultBits`. It then defines a function called `test(input)` that iterates over the binary representation of the input string (`input.toString(2)`) and stores each digit in the `arrFaultBits` array.

**Options Compared**

In this benchmark, four different values are used for `stringPropname`: 1944120404, 194412, 19, and -10. The test case compares the execution time of the `test(input)` function for these four inputs.

**Pros and Cons of Different Approaches**

1. **Direct vs. Indirect Conversion**: In the original script preparation code, `input` is directly converted to a binary string using `toString(2)`. However, in some browsers, this conversion might be optimized or have side effects (e.g., creating a new object). To mitigate this, MeasureThat.net uses indirect conversion by parsing the input as an integer and then converting it to a binary string. This approach is more explicit and less prone to browser-specific quirks.
2. **Global vs. Local Variables**: The original script preparation code uses global variables `stringPropname` and `arrFaultBits`. In contrast, MeasureThat.net uses local variables to minimize the impact of global variable declarations on performance. This approach ensures that each test run starts with a clean slate.
3. **Performance-Optimized Code**: MeasureThat.net may have optimized the JavaScript code to reduce overhead or improve cache locality. The actual implementation is not publicly available, but it's likely that the team has profiled and instrumented the code to identify performance bottlenecks.

**Library Used**

None of the provided benchmark definitions rely on external libraries for their execution. However, MeasureThat.net may use internal libraries or tools to optimize and execute the benchmarks.

**Special JavaScript Features or Syntax**

There are no special JavaScript features or syntax used in this benchmark definition that would require specific handling or optimizations.

**Other Alternatives**

If you're interested in creating similar benchmarks, consider using the following alternatives:

1. **Benchmarking libraries**: Libraries like Benchmark.js, jsperf, or WebPerf can help you create and run benchmarks with ease.
2. **V8 and SpiderMonkey benchmarking tools**: If you want to target specific JavaScript engines, you can use V8's ` benchmark.py` or SpiderMonkey's `SpiderMonkey Benchmarks`.
3. **Test runners**: Tools like Jest or Mocha can be used to create and run tests, including performance benchmarks.

Keep in mind that creating high-quality benchmarks requires a deep understanding of the subject matter and the specific JavaScript engines you're targeting.

Related benchmarks:

asdawefwef (version: 0)

sfsf sdff sdf

Comparing performance of: 1 vs 2 vs 3 vs 4

Created: 8 years ago by: Guest

Jump to the latest result

1

2

3

4

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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