Benchmark: Math.floor(Math.random() * 1000000000).toString() vs window.performance.now().toFixed()

Tests:

Math.floor(Math.random() * 1000000000).toString()
Math.floor(Math.random() * 1000000000).toString()
window.performance.now().toFixed()
window.performance.now().toFixed()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.floor(Math.random() * 1000000000).toString()
window.performance.now().toFixed()

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.60 Safari/537.36

Browser/OS: Chrome 100 on Linux

View result in a separate tab

Test name	Executions per second
Math.floor(Math.random() * 1000000000).toString()	2601122.0 Ops/sec
window.performance.now().toFixed()	1437645.4 Ops/sec

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

LLMs can make mistakes. Check important info.

I'd be happy to help explain the benchmark.

**Overview**

The provided JSON represents a set of benchmarks for measuring the performance of JavaScript code on different browsers and platforms. The benchmark is designed to compare two approaches: converting a large random number to a string using `Math.floor(Math.random() * 1000000000).toString()` versus getting the current time in milliseconds using `window.performance.now().toFixed()`.

**Test Cases**

There are two test cases:

1. **`Math.floor(Math.random() * 1000000000).toString()`**: This test case measures the performance of converting a large random number to a string. The random number is generated using `Math.random()` and multiplied by 1000000000, which produces a very large number.
2. **`window.performance.now().toFixed()`**: This test case measures the performance of getting the current time in milliseconds using the `performance.now()` function from the Web Performance API.

**Options Compared**

The two test cases compare different approaches to measuring execution time:

1. **String conversion**: Converting a large random number to a string using `Math.floor(Math.random() * 1000000000).toString()`. This approach can be slow because of the overhead of converting numbers to strings.
2. **Performance API**: Getting the current time in milliseconds using `window.performance.now().toFixed()`. This approach is generally faster than string conversion, as it uses a more efficient timer mechanism.

**Pros and Cons**

Here are some pros and cons of each approach:

* **String conversion**:
	+ Pros: Easy to understand and implement.
	+ Cons: Can be slow due to the overhead of converting numbers to strings.
* **Performance API**:
	+ Pros: Generally faster than string conversion, as it uses a more efficient timer mechanism.
	+ Cons: Requires knowledge of the Web Performance API.

**Library Usage**

The test cases do not use any external libraries, but they rely on the JavaScript engine's built-in functions to generate random numbers and measure execution time.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax used in these benchmark cases. However, it's worth noting that some browsers may optimize certain JavaScript features or syntax for better performance.

**Other Alternatives**

If you want to create similar benchmarks, here are some alternatives:

* Measure the performance of other mathematical operations, such as adding large numbers or performing arithmetic operations on large arrays.
* Compare the performance of different data structures, such as arrays versus objects.
* Use different browsers or platforms to compare their JavaScript engine performance.

Keep in mind that benchmarking is an art and a science. The results may vary depending on the specific use case and environment.

Related benchmarks:

Math.floor(Math.random() * 1000000000).toString() vs window.performance.now().toFixed() (version: 0)

Comparing performance of: Math.floor(Math.random() * 1000000000).toString() vs window.performance.now().toFixed()

Created: 2 years ago by: Guest

Jump to the latest result

Math.floor(Math.random() * 1000000000).toString()

window.performance.now().toFixed()

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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