Benchmark: Multiple args VS Object arg

Script Preparation code:

function multiArgs(a, b, c, d, e, f, g, h) {
	return a + b + c + d + e + f + g + h
}

function multiArgs2(...args) {
	return args.reduce((acc, val) => acc += val, 0)
}

function singleArg(obj) {
  	return obj.a + obj.b + obj.c + obj.d + obj.e + obj.f + obj.g + obj.h
}

function singleArg2(obj) {
	return Object.values(obj).reduce((acc, val) => acc += val, 0)
}

Tests:

Multi args (1)
for (let i = 0; i < 10000; ++i) { multiArgs(1, 2, 3, 4, 5, 6, 7, 8) }
Multi args (2)
for (let i = 0; i < 10000; ++i) { multiArgs2(1, 2, 3, 4, 5, 6, 7, 8) }
Single arg (1)
for (let i = 0; i < 10000; ++i) { singleArg({ a: 1, b: 2, c: 3, d: 4, e: 5, f: 6, g: 7, h: 8 }) }
Single arg (2)
for (let i = 0; i < 10000; ++i) { singleArg2({ a: 1, b: 2, c: 3, d: 4, e: 5, f: 6, g: 7, h: 8 }) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Multi args (1)
Multi args (2)
Single arg (1)
Single arg (2)

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):

LLMs can make mistakes. Check important info.

I'd be happy to help explain the benchmark.

**Overview**

The benchmark measures the performance of three different approaches for calculating the sum of eight numbers:

1. **Multi-argument function**: `multiArgs(a, b, c, d, e, f, g, h)`
2. **Rest parameter function**: `multiArgs2(...args)`
3. **Object property access function**: `singleArg(obj)`

**Options Compared**

The benchmark compares the performance of each approach on a dataset of 10000 iterations with different input values.

*   The multi-argument function takes individual arguments, while the rest parameter function uses an array of arguments.
*   The object property access function accesses properties of an object to calculate the sum.

**Pros and Cons**

1.  **Multi-argument function**: This approach is straightforward but may not be as efficient due to the overhead of passing separate arguments.
    *   Pros: Easy to understand, no dependencies required.
    *   Cons: May be slower due to argument passing overhead.
2.  **Rest parameter function**: This approach uses an array of arguments and can be more efficient than the multi-argument function.
    *   Pros: More concise, potentially faster execution time.
    *   Cons: Requires JavaScript support for rest parameters (introduced in ECMAScript 2015).
3.  **Object property access function**: This approach accesses properties of an object to calculate the sum.
    *   Pros: No dependencies required, easy to understand.
    *   Cons: May not be as efficient due to object lookup overhead.

**Other Considerations**

*   The benchmark assumes that JavaScript is used as the programming language for performance measurement. If you're using a different language or environment, you might need to adjust the test cases accordingly.
*   Modern JavaScript engines often have optimizations and caching mechanisms that can impact performance. This benchmark may not be representative of real-world scenarios.

**Library and Special JS Features**

There are no libraries involved in this benchmark.

No special JavaScript features like async/await or ES6 classes are used.

**Alternatives**

If you're looking for alternative approaches, consider the following:

1.  **Built-in functions**: JavaScript has built-in functions like `reduce()` (for arrays) and `Object.values()`. These might be more efficient than using custom functions.
2.  **Native arithmetic operations**: Using native arithmetic operations (e.g., addition) can often be faster than using JavaScript functions.

The provided benchmark allows users to compare the performance of different approaches on a microbenchmarking scale, providing insights into optimization techniques for specific use cases.

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:100.0) Gecko/20100101 Firefox/100.0

Browser/OS: Firefox 100 on Windows

View result in a separate tab

Test name	Executions per second
Multi args (1)	98982.9 Ops/sec
Multi args (2)	2594.4 Ops/sec
Single arg (1)	132811.3 Ops/sec
Single arg (2)	621.8 Ops/sec

Related benchmarks:

Multiple args VS Object arg (version: 0)

Comparing performance of: Multi args (1) vs Multi args (2) vs Single arg (1) vs Single arg (2)

Created: 5 years ago by: Guest

Jump to the latest result

Multi args (1)

Multi args (2)

Single arg (1)

Single arg (2)

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):