Benchmark: adsfadsffads - MeasureThat.net

Tests:

adsfadsfads
new Array(30).fill(undefined).map((_, i) => i)
sadasadsadsadsadsads
Array.from(Array.from({length:30}).keys())

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
adsfadsfads
sadasadsadsadsadsads

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark and explain what's being tested, compared options, pros/cons, library usage, special JS features, and other considerations.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark on MeasureThat.net. It consists of two test cases: "adsfadsfads" and "sadasadsadsadsadsads". The benchmark aims to measure the performance of these test cases in different browsers.

**Test Cases**

1. **"adsfadsfads"**
	* Benchmark Definition: `new Array(30).fill(undefined).map((_, i) => i)`
	* This test case creates an array of 30 elements, fills it with undefined values, and then maps each element to its index (i).
2. **"sadasadsadsadsadsads"**
	* Benchmark Definition: `Array.from(Array.from({length:30}).keys())`
	* This test case uses the spread operator to create two arrays of 30 elements. The outer array is created by spreading an object with a length property of 30, and the inner array is created using the `Array.from()` method.

**Comparison Options**

The benchmark compares the performance of these two test cases in different browsers, specifically Chrome 69 on a Macintosh (Intel Mac OS X 10.13.5) device platform. The results are:

| Browser | ExecutionsPerSecond |
| --- | --- |
| Chrome 69 | 1393534.875 |
| Chrome 69 | 105047.8828125 |

**Pros and Cons**

1. **"adsfadsfads"`:
	* Pros: This test case uses a simple mapping function, which is easy to optimize for performance.
	* Cons: The use of `undefined` as the fill value might lead to slower performance due to the need to check for undefined values during execution.
2. **"sadasadsadsadsadsads"`:
	* Pros: This test case uses an optimized spread operator, which can provide better performance in some cases.
	* Cons: The use of nested `Array.from()` calls might lead to slower performance due to the creation of multiple temporary arrays.

**Library Usage**

There is no explicit library usage in these benchmark definitions. However, the `Array.from()` method is a built-in JavaScript method that uses a V8 (V8 Engine) implementation under the hood.

**Special JS Features**

1. **Spread Operator**: The spread operator (`...`) is a modern JavaScript feature that allows for more concise array creation. It is supported in most browsers and provides better performance than traditional array construction methods.
2. **Map Function**: The `map()` function is another built-in JavaScript method that applies a transformation to each element of an array.

**Other Considerations**

1. **Optimization Techniques**: The use of optimization techniques, such as memoization or caching, could potentially improve the performance of these benchmark cases.
2. **Hardware and Software Variability**: The results might vary depending on hardware and software configurations, such as CPU architecture, RAM, and browser extensions.

**Alternatives**

If you want to create similar benchmarks, consider exploring other alternatives:

1. **Benchmarking Frameworks**: Use established benchmarking frameworks like Benchmark.js or Microbenchmark.
2. **V8 Profiler**: Utilize the V8 profiler in Chrome DevTools to analyze performance bottlenecks in your JavaScript code.
3. **Native Performance Tools**: Leverage native performance tools, such as perf or gprof, for more detailed analysis of CPU and memory usage.

I hope this explanation helps!

Related benchmarks:

adsfadsffads (version: 0)

Comparing performance of: adsfadsfads vs sadasadsadsadsadsads

Created: 7 years ago by: Guest

Jump to the latest result

adsfadsfads

sadasadsadsadsadsads

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):