# Performance Report: 100 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 | C++ | 19 | 1523712 | Compiled |
| 2 | C | 19 | 1687552 | Compiled |
| 3 | Odin | 19 | 1725781 | Compiled |
| 4 | Fortran | 19 | 1802240 | Compiled |
| 5 | Assembly | 20 | 1409024 | Compiled |
| 6 | Nim | 20 | 1572864 | Compiled |
| 7 | Rust | 20 | 1682090 | Compiled |
| 8 | Lua | 20 | 2086229 | Interpreted |
| 9 | Crystal | 20 | 3293184 | Compiled |
| 10 | Go | 20 | 3861162 | Compiled |
| 11 | Objective-C | 20 | 6045696 | Compiled |
| 12 | Swift | 20 | 6083925 | Compiled |
| 13 | D | 21 | 2490368 | Compiled |
| 14 | Zig | 22 | 2981888 | Compiled |
| 15 | Bash | 24 | 2058922 | Interpreted |
| 16 | Dart | 28 | 14625450 | JIT |
| 17 | Haskell | 31 | 12042240 | Compiled |
| 18 | Brainfuck | 45 | 9289728 | Interpreted |
| 19 | Java | 46 | 43078997 | JIT |
| 20 | Python | 47 | 9693866 | Interpreted |
| 21 | Perl | 47 | 12528298 | Interpreted |
| 22 | CSharp | 56 | 41369600 | JIT |
| 23 | Kotlin | 60 | 45247146 | JIT |
| 24 | PHP | 68 | 26487466 | Interpreted |
| 25 | Ruby | 79 | 28824917 | Interpreted |
| 26 | JavaScript | 89 | 44848469 | Interpreted |
| 27 | Erlang | 140 | 77381632 | Interpreted |
| 28 | Julia | 157 | 235885909 | JIT |
| 29 | R | 163 | 90947584 | Interpreted |
| 30 | Elixir | 308 | 89642325 | Interpreted |
| 31 | Scala | 344 | 55470762 | JIT |
| 32 | TypeScript | 931 | 218868394 | 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_100_output.txt`.

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