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Date.now() vs Math.random()
(version: 1)
Comparing performance of:
Date.now() vs Math.random()
Created:
6 months ago
by:
Guest
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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:
Date.now()
Date.now()
Math.random()
Math.random()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Date.now()
Math.random()
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
4 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36
Browser/OS:
Chrome 142 on Windows
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Test name
Executions per second
Date.now()
13082514.0 Ops/sec
Math.random()
36935464.0 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated 6 months ago):
The benchmark outlined in the provided JSON compares the performance of two JavaScript functions: `Date.now()` and `Math.random()`. Here's a detailed explanation of the benchmark, the functions being tested, potential pros and cons of each approach, and alternative methods. ### Benchmark Overview - **Tests Conducted**: - **Date.now()**: This function returns the number of milliseconds elapsed since January 1, 1970, 00:00:00 UTC. - **Math.random()**: This function generates and returns a pseudo-random floating-point number between 0 (inclusive) and 1 (exclusive). ### Performance Insights - **Test Results**: - The benchmark results indicate that `Math.random()` achieved approximately **84,222,032 executions per second**, while `Date.now()` had about **25,769,990 executions per second**. - This suggests that calling `Math.random()` is significantly faster than `Date.now()` in the tested environment. ### Pros and Cons of Each Approach #### 1. **Date.now()** - **Pros**: - Simple and straightforward for measuring time. - Very useful for timestamping events or measuring elapsed time. - **Cons**: - Performance can be affected by system clock resolution and overhead from converting the system time. - Not suitable for generating random numbers. #### 2. **Math.random()** - **Pros**: - Fast and efficient for generating random numbers, making it useful for many applications including games, simulations, and random sampling. - It is designed to be quick, optimizing for speed in generating random values. - **Cons**: - The randomness is pseudo-random, meaning it is predictable if the algorithm's seed is known, which might not be suitable for cryptographic purposes. - May not be sufficient for applications requiring high quality randomness, like secure key generation. ### Other Considerations - **Use Cases**: - Choose `Date.now()` when the purpose is to track time accurately and not for performance-critical repeated operations. - Use `Math.random()` when numerous random values are needed rapidly, such as in random number generation for games or sampling. ### Alternatives - **For Date/Time Measurements**: - Use the `performance.now()` method, which provides a more precise timestamp with sub-millisecond accuracy. This is particularly useful when measuring time intervals for performance testing. ```javascript let start = performance.now(); // operation to measure let end = performance.now(); console.log(`Operation took ${end - start} ms`); ``` - **For Random Number Generation**: - If more robust randomness is needed (especially for cryptographic use), the Web Crypto API can be employed with `crypto.getRandomValues()`, providing cryptographically secure random values. ```javascript let array = new Uint32Array(1); window.crypto.getRandomValues(array); let randomValue = array[0] / (0xffffffff + 1); // normalize to [0, 1) ``` By understanding the characteristics and performance implications of `Date.now()` and `Math.random()`, developers can make informed decisions when selecting which method to use based on their application's requirements.
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