Benchmark: Pre-calc with bit shift vs Typical Code

Script Preparation code:

var cases = [
  { nx: undefined, ny: 12 },
  { ny: 12, nx: undefined },
  { nx: undefined, ny: undefined },
  { nx: 12, ny: 12 }
]
var style = { transform: null }

Tests:

Typical Code
for (const {nx, ny} of cases) { if (nx !== undefined || ny !== undefined) { style.transform = nx !== undefined ? (ny !== undefined ? `translate(${nx}px, ${ny}px)` : `translateX(${nx}px)`) : `translateY(${ny}px)`; } }
Bit-shift
for (const {nx, ny} of cases) { const sx = nx !== undefined // state_x const sy = ny !== undefined // state_y const state = (sx && ! sy ? 1 : 0) | (sy && ! sx ? 2 : 0) | (sx && sy ? 4 : 0) | ( ! sx || ! sy ? 8 : 0) switch (state) { case 8: // neither style.transform = '' break case 4: // both style.transform = `translate(${nx}px, ${ny}px)` break case 2: // only y style.transform = `translateY(${ny}px)` break case 1: // only x style.transform = `translateX(${nx}px)` break; } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Typical Code
Bit-shift

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (iPhone; CPU iPhone OS 18_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.0 Mobile/15E148 Safari/604.1

Browser/OS: Mobile Safari 18 on iOS 18.0

View result in a separate tab

Bit-shift

1.7M/s

Typical Code

1.3M/s

View exact numbers

Test name	Executions per second
✓ Bit-shift	1,732,555 Ops/sec
Typical Code	1,295,169 Ops/sec

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

LLMs can make mistakes. Check important info.

The benchmark tests the performance of two different approaches for transforming CSS attributes, specifically the `transform` property that manipulates the position of an element in a web application. The two approaches compared are:

1. **Typical Code**: This approach uses conventional conditional logic to check if each of the two variables, `nx` and `ny`, are defined. Depending on their states, it constructs a `transform` string using template literals.

2. **Bit-shift**: This method utilizes a bitwise operation to encapsulate the states of `nx` and `ny` into a single integer (`state`). Different states represent various combinations of whether `nx` and `ny` are defined. A `switch` statement then assigns the `transform` property based on the calculated `state`.

### Options Compared

1. **Typical Code**:
   - **Pros**:
     - Easier to read and understand, especially for developers who may not be familiar with bitwise operations.
     - More straightforward for debugging and maintenance.
   - **Cons**:
     - Potential performance overhead due to multiple conditional checks.
     - May require several string interpolations, leading to slower execution in cases with many transformations.

2. **Bit-shift**:
   - **Pros**:
     - Reduced branching (conditional statements) which can lead to better performance in high-frequency function calls.
     - Compact representation of states can be optimized by the JavaScript engine.
   - **Cons**:
     - Bitwise operations can be less intuitive, making the code harder to understand for developers unfamiliar with this approach.
     - May result in less maintainable code if the logic is not documented or clear.

### Considerations

- The benchmark results show that the **Bit-shift** approach executed approximately **1,783,667** operations per second, while the **Typical Code** executed around **1,307,152** operations per second. This indicates that the bit-shift method is significantly faster in this context.
- Performance gains may vary based on implementation specifics and the underlying JavaScript engine optimizations; hence, it's crucial to consider that these results are context-specific.

### Other Alternatives

- **Using Libraries**: Libraries like **GSAP (GreenSock Animation Platform)** or **anime.js** provide robust solutions for CSS transformations and animations. These libraries often handle optimizations internally, abstracting the complexity from the developer while providing performant results.
- **CSS Transform Functions**: In scenarios where only simple transformations are needed, pure CSS transitions or animations can be more efficient, as they run on the browser's compositor thread.
- **Task Delegation**: Consider offloading transformations to Web Workers or asynchronous functions, where applicable, to maintain UI responsiveness in more complex applications.

Overall, when deciding between approaches, developers should weigh the importance of code maintainability against performance demands, especially in production environments where execution speed can significantly impact user experience.

Pre-calc with bit shift vs Typical Code (version: 1)

Comparing performance of: `Typical Code vs Bit-shift`

Created: one year ago by: Registered User

Go to the latest result

Typical Code

Bit-shift

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Pre-calc with bit shift vs Typical Code (version: 1)

Comparing performance of: Typical Code vs Bit-shift

Created: one year ago by: Registered User

Go to the latest result

Typical Code

Bit-shift

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `Typical Code vs Bit-shift`