Benchmark: JS multiple parameters vs parameter object - more tests

JS multiple parameters vs parameter object - more tests (version: 0)

Test whether it is faster to pass a single object or multiple parameters to a function call.

Comparing performance of: individualParams: Multiple parameters vs individualParams: Existing parameter object vs individualParams: Parameter object with spreading vs individualParams: New parameter object from values vs individualParams: New parameter object from object vs objectInAndUsed: Multiple parameters vs objectInAndUsed: Existing parameter object vs objectInAndUsed: Parameter object with spreading vs objectInAndUsed: New parameter object from values vs objectInAndUsed: New parameter object from object vs objectInAndDestructured: Multiple parameters vs objectInAndDestructured: Existing parameter object vs objectInAndDestructured: Parameter object with spreading vs objectInAndDestructured: New parameter object from values vs objectInAndDestructured: New parameter object from object

Created: 3 years ago by: Guest

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Script Preparation code:

var data = { a: 1, b: 2, c: 3, d: 4, e: 5, f: 6, g: 7 }

function individualParams(a, b, c, d, e, f, g) {
  return a + b + c + d + e + f + g;
}

function objectInAndUsed(p) {
  return p.a + p.b + p.c + p.d + p.e + p.f + p.g;
}

function objectInAndDestructured(p) {
  const {a, b, c, d, e, f, g} = p;
  return a + b + c + d + e + f + g;
}

Tests:

individualParams: Multiple parameters
individualParams(data.a, data.b, data.c, data.d, data.e, data.f, Math.random())
individualParams: Existing parameter object
data.g = Math.random(); individualParams(data)
individualParams: Parameter object with spreading
individualParams({ ...data, g: Math.random() })
individualParams: New parameter object from values
individualParams({ a: 1, b: 2, c: 3, d: 4, e: 5, f: 6, g: Math.random() })
individualParams: New parameter object from object
individualParams({a: data.a, b: data.b, c: data.c, d: data.d, e: data.e, f: data.f, g: Math.random()})
objectInAndUsed: Multiple parameters
objectInAndUsed(data.a, data.b, data.c, data.d, data.e, data.f, Math.random())
objectInAndUsed: Existing parameter object
data.g = Math.random(); objectInAndUsed(data)
objectInAndUsed: Parameter object with spreading
objectInAndUsed({ ...data, g: Math.random() })
objectInAndUsed: New parameter object from values
objectInAndUsed({ a: 1, b: 2, c: 3, d: 4, e: 5, f: 6, g: Math.random() })
objectInAndUsed: New parameter object from object
objectInAndUsed({a: data.a, b: data.b, c: data.c, d: data.d, e: data.e, f: data.f, g: Math.random()})
objectInAndDestructured: Multiple parameters
objectInAndDestructured(data.a, data.b, data.c, data.d, data.e, data.f, Math.random())
objectInAndDestructured: Existing parameter object
data.g = Math.random(); objectInAndDestructured(data)
objectInAndDestructured: Parameter object with spreading
objectInAndDestructured({ ...data, g: Math.random() })
objectInAndDestructured: New parameter object from values
objectInAndDestructured({ a: 1, b: 2, c: 3, d: 4, e: 5, f: 6, g: Math.random() })
objectInAndDestructured: New parameter object from object
objectInAndDestructured({a: data.a, b: data.b, c: data.c, d: data.d, e: data.e, f: data.f, g: Math.random()})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
individualParams: Multiple parameters
individualParams: Existing parameter object
individualParams: Parameter object with spreading
individualParams: New parameter object from values
individualParams: New parameter object from object
objectInAndUsed: Multiple parameters
objectInAndUsed: Existing parameter object
objectInAndUsed: Parameter object with spreading
objectInAndUsed: New parameter object from values
objectInAndUsed: New parameter object from object
objectInAndDestructured: Multiple parameters
objectInAndDestructured: Existing parameter object
objectInAndDestructured: Parameter object with spreading
objectInAndDestructured: New parameter object from values
objectInAndDestructured: New parameter object from object

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:132.0) Gecko/20100101 Firefox/132.0

Browser/OS: Firefox 132 on Ubuntu

View result in a separate tab

Test name	Executions per second
individualParams: Multiple parameters	1156689792.0 Ops/sec
individualParams: Existing parameter object	6078949.0 Ops/sec
individualParams: Parameter object with spreading	3362427.2 Ops/sec
individualParams: New parameter object from values	6100264.5 Ops/sec
individualParams: New parameter object from object	5747873.5 Ops/sec
objectInAndUsed: Multiple parameters	1138446336.0 Ops/sec
objectInAndUsed: Existing parameter object	379902656.0 Ops/sec
objectInAndUsed: Parameter object with spreading	7446000.5 Ops/sec
objectInAndUsed: New parameter object from values	1173662592.0 Ops/sec
objectInAndUsed: New parameter object from object	1072120960.0 Ops/sec
objectInAndDestructured: Multiple parameters	40212560.0 Ops/sec
objectInAndDestructured: Existing parameter object	59339312.0 Ops/sec
objectInAndDestructured: Parameter object with spreading	7215412.0 Ops/sec
objectInAndDestructured: New parameter object from values	38754312.0 Ops/sec
objectInAndDestructured: New parameter object from object	28222326.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the data.

**Summary**

The provided JSON-like data appears to be a collection of test results for different browser executions on a Mac OS X 10.15.7 device. Each entry represents a single execution, with various metrics such as `RawUAString`, `Browser`, `DevicePlatform`, `OperatingSystem`, and several test-related metrics like `ExecutionsPerSecond` and `TestName`.

**Key Observations**

1. **Browser**: The primary browser is Chrome 129, with most executions occurring at the same version.
2. **Device Platform**: All executions occur on a Desktop device running Mac OS X 10.15.7.
3. **Operating System**: Consistently runs on Mac OS X 10.15.7.
4. **Test Names**: The test names suggest different scenarios, such as using existing parameter objects, object in-and-used tests with new and multiple parameters.
5. **Executions Per Second (EPS)**: EPS values vary significantly across executions, indicating diverse performance characteristics.

**Questions**

To provide a more informed answer, I have some questions:

1. What is the primary objective of these test results?
2. Are there any specific aspects of browser behavior or performance being tested?
3. Is this data from a real-world scenario or a controlled environment?

If you can provide more context or clarify the purpose of these test results, I'd be happy to help analyze them further!

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