Benchmark: Creating date objects

Tests:

10 objects created
function parseMyDate() { const dateString = "2024-05-31T09:13:43.095Z"; if (/^\d+-\d+-\d+T\d+:\d+:\d+(\.\d+)?$/.test(dateString)) { dateString += 'Z'; } const result = Date.parse(dateString); return isNaN(result) ? null : (result / 1000.0); } for (var i=0; i<10; i++) { parseMyDate(); }
9000 objects created
function parseMyDate() { const dateString = "2024-05-31T09:13:43.095Z"; if (/^\d+-\d+-\d+T\d+:\d+:\d+(\.\d+)?$/.test(dateString)) { dateString += 'Z'; } const result = Date.parse(dateString); return isNaN(result) ? null : (result / 1000.0); } for (var i=0; i<9000; i++) { parseMyDate(); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
10 objects created
9000 objects created

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.3.1 Safari/605.1.15

Browser/OS: Safari 17 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
10 objects created	938992.6 Ops/sec
9000 objects created	1067.3 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, compared options, pros and cons of each approach, and other considerations.

**What is being tested?**

The benchmark tests how fast JavaScript can create date objects using the `Date.parse()` function. There are two test cases:

1. Creating 10 date objects in a loop.
2. Creating 9000 date objects in a loop.

**Options compared:**

Two options are compared:

1. **Loop iteration**: Both test cases use a for loop to create the date objects. The main difference is the number of iterations:
	* Test case 1 creates 10 date objects.
	* Test case 2 creates 9000 date objects.
2. **`Date.parse()` function**: Both test cases use the `Date.parse()` function to parse the date strings.

**Pros and cons of each approach:**

1. **Loop iteration**:
	* Pros:
		+ Easy to understand and implement.
		+ Allows for easy comparison between different loop iterations (e.g., 10 vs. 9000).
	* Cons:
		+ May not accurately represent real-world scenarios, where more complex logic might be involved.
2. **`Date.parse()` function**:
	* Pros:
		+ Simulates real-world date parsing tasks.
	* Cons:
		+ Can be computationally expensive due to the use of `Date.parse()`, which can involve regex pattern matching and parsing.

**Library usage:**

None of the test cases explicitly uses a JavaScript library. However, it's worth noting that the `Date` object is part of the built-in JavaScript API.

**Special JS features or syntax:**

This benchmark does not use any special JavaScript features or syntax, such as async/await, promises, or modern ES modules.

**Other considerations:**

1. **Cache effects**: Creating a large number of date objects might involve cache effects, where the browser's cache can influence the results. This could lead to inconsistent results if the benchmark is run multiple times.
2. **Garbage collection**: The benchmark creates and discards thousands of date objects, which could trigger garbage collection events in the browser. This might affect performance or accuracy.

**Alternatives:**

Other alternatives for measuring JavaScript performance include:

1. Micro-benchmarking frameworks like Benchmark.js or js-bench.
2. Browser-specific benchmarks, such as those provided by Google's Benchmark.js or Microsoft's Perfbench.
3. CPU-intensive tasks, such as matrix multiplication or cryptographic operations, which can be used to test the performance of the browser's JavaScript engine.

Keep in mind that each benchmarking approach has its strengths and weaknesses, and the choice of which one to use depends on the specific requirements of your project.

Related benchmarks:

Creating date objects (version: 0)

How does 10 compare against 9000 creations

Comparing performance of: 10 objects created vs 9000 objects created

Created: one year ago by: Guest

Jump to the latest result

10 objects created

9000 objects created

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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