Benchmark: Tuple vs object speed

Tests:

Tuple
const tuples = [] for( var i = 0; i < 10000; i++ ){ tuples.push([1,i]); } let sum = 0; for( const tuple of tuples){ sum += tuple[0]; } if( sum !== 10000 ) { console.log("FAIL!") }
Record
const tuples = [] for( var i = 0; i < 10000; i++ ){ tuples.push({start:1,end:i}); } let sum = 0; for( const tuple of tuples){ sum += tuple.start; } if( sum !== 10000 ) { console.log("FAIL!") }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Tuple
Record

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks.

**What is being tested?**

The benchmark is comparing the speed performance of two data structures in JavaScript:

1. **Tuples**: A tuple is a collection of values that cannot be changed after creation. In the provided code, tuples are used to store two elements: `start` and `end`.
2. **Objects with properties**: Another approach uses objects with properties to achieve similar results. Specifically, in this case, each object has a single property named `start`, which holds one of the values.

**Options compared**

The benchmark is comparing these two approaches:

* Tuples (`Tuple` test case)
* Objects with properties (`Record` test case)

**Pros and Cons of each approach:**

1. **Tuples (Tuple test case)**:
	* Pros:
		+ Faster access to tuple elements due to the inherent immutability of tuples.
		+ Less memory overhead since tuples are implicitly typed and do not require a separate property for type information.
	* Cons:
		+ Not supported in older JavaScript versions or environments that do not support tuples (e.g., older browsers).
2. **Objects with properties (Record test case)**:
	* Pros:
		+ More flexible and widely supported, as objects are a fundamental data structure in JavaScript.
		+ Easier to add or remove properties dynamically.
	* Cons:
		+ Slower access times due to the dynamic nature of objects, which requires checking property existence and type before accessing its value.

**Other considerations:**

* **Nullability**: Tuples can be null or undefined, whereas objects with properties cannot be null or undefined (unless explicitly set as such).
* **Type Safety**: Tuples provide better type safety due to their static nature, while objects with properties are more prone to type-related errors at runtime.

**Special JS feature or syntax:**

The benchmark uses JavaScript's `for...of` loop and tuple literal syntax (`[value1,value2]`). These features are widely supported in modern browsers and JavaScript engines.

**Libraries and frameworks:**

There is no specific library mentioned in the provided code. The focus is on comparing the intrinsic performance of tuples versus objects with properties.

**Other alternatives:**

If you need to measure the performance of other data structures or approaches, consider using libraries like:

* `js-tuples`: A lightweight tuple implementation for JavaScript.
* `record-obj`: A utility library providing a simple way to work with objects as records (key-value pairs).

When crafting benchmarks, keep in mind the following best practices:

1. **Keep it simple**: Use minimal code and focus on the specific question or comparison being made.
2. **Use representative test cases**: Ensure that your benchmarking code represents real-world scenarios or use cases.
3. **Avoid false positives/negatives**: Optimize for accuracy over speed, especially when dealing with smaller datasets.
4. **Test multiple platforms/browsers**: Verify consistency across different environments to ensure the results are reliable.

Remember, benchmarks can be subjective and influenced by factors like hardware, software configurations, and execution contexts. Take results with a grain of salt and consider them as a general guideline rather than absolute truth.

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/126.0.0.0 Safari/537.36

Browser/OS: Chrome 126 on Windows

View result in a separate tab

Test name	Executions per second
Tuple	15303.4 Ops/sec
Record	20076.6 Ops/sec

Related benchmarks:

Tuple vs object speed (version: 0)

Two element tuple vs two property object

Comparing performance of: Tuple vs Record

Created: 5 months ago by: Guest

Jump to the latest result

Tuple

Record

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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