# Performance Report: 10 Decimals

## Test Environment

**Hardware:**
- **Model:** MacBook Neo (Mac17,5)
- **Processor:** Apple A18 Pro (6 cores: 2 performance + 4 efficiency)
- **Memory:** 8 GB RAM
- **Operating System:** macOS (Darwin)

**Methodology:**
- Each language runs 4 times per test
- First run is considered "warmup" and excluded
- Results are the average of the 3 subsequent runs
- Time measured in milliseconds (ms)
- Memory measured in bytes via RSS (Resident Set Size)

## Performance Summary

### All Languages

| Rank | Language | Time (ms) | Memory (bytes) | Type |
|------|-----------|-----------|----------------|------|
| 1 | Nim | 19 | 1523712 | Compiled |
| 2 | Assembly | 20 | 1409024 | Compiled |
| 3 | C++ | 20 | 1507328 | Compiled |
| 4 | Odin | 20 | 1627477 | Compiled |
| 5 | Rust | 20 | 1638400 | Compiled |
| 6 | Fortran | 20 | 1802240 | Compiled |
| 7 | Go | 20 | 3822933 | Compiled |
| 8 | Swift | 20 | 5958314 | Compiled |
| 9 | C | 21 | 1671168 | Compiled |
| 10 | Lua | 21 | 2086229 | Interpreted |
| 11 | Zig | 21 | 2981888 | Compiled |
| 12 | Crystal | 21 | 3244032 | Compiled |
| 13 | Objective-C | 21 | 6045696 | Compiled |
| 14 | D | 22 | 2457600 | Compiled |
| 15 | Dart | 25 | 14483456 | JIT |
| 16 | Bash | 27 | 2048000 | Interpreted |
| 17 | Haskell | 31 | 11993088 | Compiled |
| 18 | Brainfuck | 44 | 9109504 | Interpreted |
| 19 | Python | 45 | 9693866 | Interpreted |
| 20 | Perl | 45 | 12550144 | Interpreted |
| 21 | Java | 46 | 43029845 | JIT |
| 22 | CSharp | 51 | 41385984 | JIT |
| 23 | Kotlin | 59 | 45187072 | JIT |
| 24 | PHP | 69 | 26482005 | Interpreted |
| 25 | Ruby | 77 | 28830378 | Interpreted |
| 26 | JavaScript | 84 | 44340565 | Interpreted |
| 27 | Julia | 156 | 235984213 | JIT |
| 28 | Erlang | 158 | 77485397 | Interpreted |
| 29 | R | 163 | 90882048 | Interpreted |
| 30 | Elixir | 307 | 89210880 | Interpreted |
| 31 | Scala | 351 | 55274154 | JIT |
| 32 | TypeScript | 878 | 218234880 | Interpreted |

### Performance Analysis

**Top Performers:**
- Fastest execution times for compiled languages
- Minimal memory usage for native code
- Consistent performance across decimal levels

**Memory Efficiency:**
- Compiled languages: 1-6 MB
- JIT languages: 14-236 MB
- Interpreted languages: 2-29 MB

**Key Findings:**
- Compiled languages dominate in both speed and memory efficiency
- JIT languages show moderate performance with higher memory usage
- Interpreted languages vary widely in performance

## Detailed Results

See the full test output in `reports/run_10_output.txt`.

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*Generated from Pi Calculation Benchmark - Apple A18 Pro Performance Study*