Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
cycle speed
(version: 0)
Comparing performance of:
test vs 2
Created:
2 years ago
by:
Registered User
Jump to the latest result
Tests:
test
for (let i = 0; i < 10_000_000; i += 1) { // do work if (i > 0 && i < 10) { const b = 3; } if (i > 10 && i < 30) { const c = 10 * 3; } if (i !== 25 && i < 300 && (i * 12 - 1 > 30)) { const r = 32 * 342432; } if (i > 115 && i < 120) continue; }
2
for (let i = 0; i < 1_000_000; i += 1) { // do work if (i > 0 && i < 10) { const b = 3; } if (i > 10 && i < 30) { const c = 10 * 3; } if (i !== 25 && i < 300 && (i * 12 - 1 > 30)) { const r = 32 * 342432; } if (i > 115 && i < 120) continue; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
test
2
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to explain what's being tested in this JavaScript benchmark. **What's being tested:** The provided JSON represents two individual test cases, each with its own script preparation code (although it's empty in both cases). The test cases are designed to measure the execution speed of a for loop in JavaScript. Each loop iterates over a large number of iterations (10 million and 1 million) and contains various conditional statements that affect the performance. **Options compared:** There are two main approaches being compared: 1. **Loop unrolling**: In the first test case, the loop has multiple inner blocks with different calculations. This is an example of loop unrolling, where the number of iterations in each iteration is increased to improve performance. 2. **Branch prediction**: In the second test case, the loop condition and branching logic are similar, but not exactly the same. This is designed to test branch prediction, which refers to the browser's ability to predict whether a branch (e.g., if-else statement) will be taken. **Pros and cons of each approach:** Loop unrolling: Pros: * Can improve performance by reducing the number of iterations * Can be more efficient for certain types of computations Cons: * Requires careful planning and optimization to avoid overhead and decreased readability * May not work well with all JavaScript engines or environments Branch prediction: Pros: * Is a common technique used in many compilers and runtimes to optimize performance * Is relatively easy to implement and maintain Cons: * Can be influenced by the specific JavaScript engine or environment being used * May not always lead to better performance, as branch prediction can fail or be misled by certain conditions **Library usage:** There is no explicit library usage in these test cases. However, it's worth noting that some JavaScript engines (e.g., V8) have built-in optimizations for specific use cases, such as loop unrolling or branching. **Special JS feature/syntax:** None of the test cases explicitly use any special JavaScript features or syntax, although they do demonstrate common programming constructs like loops, conditional statements, and arithmetic operations. **Other alternatives:** To further test performance, other approaches could be considered: 1. **Native code generation**: Compiling the script to native machine code using a Just-In-Time (JIT) compiler like V8. 2. **Micro-benchmarking frameworks**: Using specialized libraries or frameworks like Benchmark.js or microbenchmark to create and run multiple benchmarks. 3. **Profiling and optimization tools**: Utilizing profiling tools like Chrome DevTools or Node.js Inspector to identify performance bottlenecks in the code. By considering these alternative approaches, developers can gain a deeper understanding of their JavaScript application's performance characteristics and optimize it more effectively.
Related benchmarks:
Optimization
Math.abs speed vs multiply full example vs steps mid point
Math.abs speed vs multiply vs steps mid point vs epsilon
GetRotation v2
big for loop vs multiple small for loops
Comments
Confirm delete:
Do you really want to delete benchmark?