num = i => i * 19 - 3
let i = 0;
const length = 1000;
for(i; i < length; i++) {
return num(i);
};
const length = 1000;
for(i; i < length; i++) {
return num(i);
};
let i = 0;
const length = 1000;
for(i; i < length; i += 1) {
return num(i);
};
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
for loop - (initialize counter above) | |
for loop - (inline initialized counter) | |
for loop - (i += 1) |
Test name | Executions per second |
---|---|
for loop - (initialize counter above) | 9338534.0 Ops/sec |
for loop - (inline initialized counter) | 9343960.0 Ops/sec |
for loop - (i += 1) | 9247808.0 Ops/sec |
Let's break down the provided benchmark and explain what's being tested, compared, and the pros/cons of each approach.
Benchmark Definition The benchmark is defined in JSON format and represents two different approaches to testing for loops:
This benchmark compares three variations of for loop implementations:
a. Initialize counter above: The loop counter (i
) is initialized before the loop, outside the loop.
b. Inline initialized counter: The loop counter (i
) is initialized directly inside the loop condition.
c. Increment by 1: The loop counter (i
) increments by 1 in each iteration.
Options Compared
The benchmark compares the performance of these three for loop approaches:
let i = 0;
and const length = 1000;
for(i; i < length; i++) { ... }
for(i; i < length; i += 1) { ... }
Pros and Cons of Each Approach
Library Usage
There is no explicit library mentioned in the benchmark. However, some JavaScript engines might have internal optimizations or features that could impact the performance of these for loops (e.g., tail call optimization, loop unrolling).
Special JS Features
None are mentioned explicitly in this benchmark.
Alternatives
Other approaches to testing for loops could include:
Overall, the benchmark provides a simple and focused test case for comparing the performance of three common for loop approaches. By using a standardized format and providing clear pros and cons for each approach, it helps users understand the trade-offs involved in choosing the most efficient implementation.