Benchmark: Powers of 2 - MeasureThat.net

Tests:

1024 to 0
Math.pow(1024, 0)
1
1

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1024 to 0
1

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/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
1024 to 0	20905800.0 Ops/sec
1	192681632.0 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):

LLMs can make mistakes. Check important info.

The benchmark defined here is focused on comparing two different ways of calculating powers using JavaScript, specifically using the built-in `Math.pow` function and a constant value. The tests are centered around computing `1024` raised to the power of `0` against simply returning `1`.

### Options Compared

1. **Math.pow(1024, 0)**:
   - **Test Name**: "1024 to 0"
   - **Explanation**: This test evaluates the performance of the `Math.pow` function, specifically calculating `1024^0`. According to the mathematical rules, anything raised to the power of `0` equals `1`. However, using `Math.pow` involves a function call which can introduce overhead.

2. **1**:
   - **Test Name**: "1"
   - **Explanation**: This test directly returns the constant `1`. This is an efficient operation since it doesn't involve computing anything—it's simply a literal value.

### Pros and Cons of Each Approach

#### Using Math.pow(1024, 0)

- **Pros**:
  - Can handle larger exponentiation tasks dynamically.
  - Use it for any numeric calculation that requires power, which is beneficial for operations that need varying bases and exponents.

- **Cons**:
  - Introduces function call overhead, making it slower for constant values such as `1`.
  - Complexity in function execution is higher compared to returning a literal, leading to reduced performance in tightly looped contexts or high-volume computations.

#### Using 1

- **Pros**:
  - Returns a constant value directly, resulting in optimal performance.
  - Zero overhead associated with function calls—an extremely fast operation.

- **Cons**:
  - Only suitable for cases where the result is known and constant.
  - Lack of flexibility for dynamic calculations as in `Math.pow`.

### Other Considerations

- **Performance Metrics**: In the results, we see significantly higher execution rates for returning `1` (approximately 192 million executions per second) compared to the `Math.pow(1024, 0)` test (approximately 21 million executions per second). This stark difference illustrates the overhead introduced by function calls in JavaScript.

- **Use Cases**: While the `Math.pow` function is useful in many mathematical operations, if you're just looking to return a constant that has a determined value, it's more efficient to return the constant directly.

### Alternatives

- **Exponentiation Operator**: For modern JavaScript (ES6 and onwards), the exponentiation operator `**` can be used as an alternative to `Math.pow`, e.g., `1024 ** 0`. However, since this operator also relies on function-like behavior for other values, its performance competitive with returning the constant would likely be similar to `Math.pow`.

- **Pre-Computation & Caching**: For scenarios where the same powers are computed repetitively, pre-computing results or using a caching mechanism can save computation time.

- **Use of Libraries**: While not necessary for this case specifically, libraries like `math.js` provide a rich API for various mathematical functions, including more complex operations but would also introduce some overhead.

In summary, this benchmark illustrates a fundamental aspect of performance in JavaScript regarding the trade-off between flexibility (with function calls) and speed (with direct values). As a best practice, if you know the outcome beforehand, always prefer returning a constant over utilizing a function call for improved performance.

Related benchmarks:

Powers of 2 (version: 1)

Comparing performance of: 1024 to 0 vs 1

Created: one year ago by: Guest

Jump to the latest result

1024 to 0

1

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):