Benchmark: xxxxxxx - MeasureThat.net

Tests:

perf1
var x = null;
perf2
var x = performance.now();
perf3
var x = null; console.log(x);
perf4
var x = performance.now(); console.log(x);
perf5
var x = performance.now(); console.log(performance.now() - x);
perf6
var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now();
perf7
var x = null; console.log(x); console.log(x); console.log(x); console.log(x); console.log(x); console.log(x); console.log(x); console.log(x); console.log(x); console.log(x);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
perf1
perf2
perf3
perf4
perf5
perf6
perf7

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark data and explain what's being tested, compared, and considered.

**Benchmark Definition JSON**

The benchmark definition JSON contains four essential fields:

1. **"Name"**: A unique identifier for the benchmark.
2. **"Description"**: An optional description of the benchmark (not present in this case).
3. **"Script Preparation Code"**: Optional code to be executed before running the benchmark (not present in this case).
4. **"Html Preparation Code"**: Optional HTML code to be executed before running the benchmark (not present in this case).

**Individual Test Cases**

The test cases are listed as an array of objects, each containing:

1. **"Benchmark Definition"**: A string representing the JavaScript code that will be executed during the benchmark.
2. **"Test Name"**: The name assigned to the benchmark.

These test cases cover various scenarios:

* `perf1` and `perf4`: Create a variable `x` and then use it. This measures whether creating a variable without assigning a value affects performance.
* `perf2`: Measure the current time using the `performance.now()` function, which returns the number of milliseconds since the page started loading.
* `perf3` and `perf7`: Log the result of `x` to the console, where `x` is either a non-existent variable or a newly created one. This tests the impact of logging on performance.
* `perf5` and `perf6`: Measure the difference between the current time and a previously recorded value (`x`) using `performance.now()`.

**Options Compared**

The test cases compare different approaches to measuring performance:

1. Creating variables without assigning values (e.g., `perf1`, `perf4`)
2. Using `performance.now()` to measure the current time (e.g., `perf2`)
3. Logging variables to the console (e.g., `perf3`, `perf7`)
4. Measuring the difference between consecutive measurements using `performance.now()` (e.g., `perf5`)

**Pros and Cons of Each Approach**

1. Creating variables without assigning values:
	* Pros: Simple, fast execution
	* Cons: May not accurately reflect performance due to caching or other optimizations
2. Using `performance.now()`:
	* Pros: Accurate measurement of time elapsed since page loading started
	* Cons: Can be affected by factors like clock resolution and system load
3. Logging variables to the console:
	* Pros: Can help identify issues with variable assignment or logging
	* Cons: May introduce performance overhead due to memory allocation and writing to disk
4. Measuring the difference between consecutive measurements:
	* Pros: Allows for comparison of changes in performance over time
	* Cons: Requires precise timing, which can be affected by various factors

**Other Considerations**

1. **Device and Browser Variability**: The benchmark results are specific to a Chrome 60 browser on Linux. Other devices or browsers may produce different results due to varying performance characteristics.
2. **Optimizations and Caching**: Modern JavaScript engines often apply optimizations like caching, which can affect the measured performance.
3. **Memory Allocation**: Logging variables to the console can lead to memory allocation issues, especially if not handled properly.

**Alternative Benchmarks**

Other alternatives for measuring performance in JavaScript include:

1. **Benchmarking libraries**: Such as Benchmark.js or Microbenchmark, which provide a more structured approach to benchmarking and often handle variations in device and browser behavior.
2. **WebAssembly benchmarks**: For measuring the performance of WebAssembly (WASM) code, which can be used for tasks like graphics rendering or scientific computations.
3. **ES6+ and modern JavaScript features**: Measuring the performance of newer JavaScript features, such as async/await, generators, or promises, to ensure they don't introduce unnecessary overhead.

In conclusion, this benchmark provides a solid starting point for understanding the impact of various approaches on JavaScript performance. However, it's essential to consider device and browser variability, optimizations, and caching effects when interpreting the results.

Latest run results:

Run details: (Test run date: 6 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.78 Safari/537.36

Browser/OS: Chrome 60 on Linux

View result in a separate tab

Test name	Executions per second
perf1	519593280.0 Ops/sec
perf2	1800836.5 Ops/sec
perf3	42565.2 Ops/sec
perf4	27992.6 Ops/sec
perf5	31288.5 Ops/sec
perf6	195910.8 Ops/sec
perf7	4335.3 Ops/sec

Related benchmarks:

xxxxxxx (version: 0)

Comparing performance of: perf1 vs perf2 vs perf3 vs perf4 vs perf5 vs perf6 vs perf7

Created: 6 years ago by: Guest

Jump to the latest result

perf1

perf2

perf3

perf4

perf5

perf6

perf7

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):