Benchmark: Object parameters

Script Preparation code:

var a = (a, b, c) => ({
    a,
    b,
    c
})
var b = ({
    a,
    b,
    c
}) => ({
    a,
    b,
    c
})

Tests:

A
a(1, 2, "foo")
B
b({a: 1, b: 2, c: "foo"})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
A
B

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the benchmark and its test cases.

**Benchmark Definition**

The provided JSON represents a JavaScript microbenchmark. The "Script Preparation Code" section contains two functions, `a` and `b`, which are used to define object literals. The `Script Preparation Code` is executed before running each test case.

In this case, we have two functions: `a` takes three arguments (`a`, `b`, and `c`) and returns an object with the same properties. The `b` function takes an object as an argument and returns another object with the same properties.

**Options Compared**

The benchmark tests two different approaches for creating object literals:

1. **Function call**: The `a` function creates an object literal by calling it with three arguments.
2. **Object literal syntax**: The `b` function uses the traditional object literal syntax (e.g., `{ a: 1, b: 2, c: "foo" }`).

**Pros and Cons**

* **Function call approach**:
	+ Pros: Can be more concise and expressive, especially for complex objects.
	+ Cons: May incur additional overhead due to function calls and argument passing.
* **Object literal syntax**:
	+ Pros: Typically faster and more efficient, as it avoids the overhead of function calls and argument passing.
	+ Cons: Less concise and may not be as readable.

In general, for simple objects with a few properties, the object literal syntax is usually preferred. However, when working with complex objects or when conciseness is crucial, the function call approach can be more effective.

**Other Considerations**

* **Caching**: Some JavaScript engines have caching mechanisms that may affect the performance of these tests. The `a` and `b` functions might exhibit different behavior due to caching.
* **Type Inference**: Modern JavaScript engines are improving their type inference capabilities, which can impact performance. The benchmark results might be affected by how well the engine infers the types of the objects.

**Libraries Used**

In this case, there is no explicit library mentioned in the provided JSON. However, some JavaScript engines and browsers have built-in features that can affect the performance of these tests. For example:

* **V8 (Chromium)**: V8 has a built-in optimizer that can cache function calls and improve performance.
* **SpiderMonkey (Firefox)**: SpiderMonkey has its own caching mechanism for functions and objects.

**Special JS Features or Syntax**

There are no special JavaScript features or syntax mentioned in the provided JSON. However, it's worth noting that some modern JavaScript engines and browsers support new language features like `async/await`, `let` and `const` declarations, and others. If these features were used in the test cases, they might impact the benchmark results.

**Alternatives**

If you're interested in exploring alternative benchmarks or testing scenarios, here are a few options:

* **Benchmarking libraries**: There are several third-party benchmarking libraries available for JavaScript, such as `benchmark`, `jsbench`, and `micro-benchmark`.
* **WebAssembly**: You can create benchmarks using WebAssembly (WASM) to test the performance of your code in a more controlled environment.
* **Custom testing frameworks**: Consider using custom testing frameworks like Jest or Mocha to create your own benchmarks.

In summary, this benchmark tests two approaches for creating object literals: function call and traditional object literal syntax. The results can help identify which approach is faster and more efficient in specific use cases.

Related benchmarks:

Object parameters (version: 0)

Comparing performance of: A vs B

Created: 2 years ago by: Guest

Jump to the latest result

A

B

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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