# Performance Report: 2000 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 | Assembly | 20 | 1409024 | Compiled |
| 2 | Rust | 20 | 1949696 | Compiled |
| 3 | Go | 20 | 5204650 | Compiled |
| 4 | C | 21 | 1736704 | Compiled |
| 5 | D | 21 | 3506176 | Compiled |
| 6 | Crystal | 22 | 4265301 | Compiled |
| 7 | Objective-C | 23 | 6122154 | Compiled |
| 8 | C++ | 26 | 1774933 | Compiled |
| 9 | Nim | 32 | 2555904 | Compiled |
| 10 | Zig | 32 | 2981888 | Compiled |
| 11 | Odin | 32 | 10420224 | Compiled |
| 12 | Haskell | 33 | 12140544 | Compiled |
| 13 | Dart | 37 | 17159509 | JIT |
| 14 | Brainfuck | 47 | 9409877 | Interpreted |
| 15 | CSharp | 53 | 44034730 | JIT |
| 16 | Python | 58 | 10021546 | Interpreted |
| 17 | Fortran | 61 | 1862314 | Compiled |
| 18 | Java | 62 | 49632597 | JIT |
| 19 | Kotlin | 66 | 50681173 | JIT |
| 20 | Ruby | 80 | 31156906 | Interpreted |
| 21 | PHP | 82 | 26585770 | Interpreted |
| 22 | Lua | 90 | 2321066 | Interpreted |
| 23 | Bash | 104 | 2048000 | Interpreted |
| 24 | Erlang | 141 | 80631125 | Interpreted |
| 25 | Julia | 146 | 236055210 | JIT |
| 26 | Perl | 185 | 12779520 | Interpreted |
| 27 | R | 192 | 96747520 | Interpreted |
| 28 | Swift | 294 | 6471680 | Compiled |
| 29 | Elixir | 303 | 92258304 | Interpreted |
| 30 | Scala | 358 | 60790101 | JIT |
| 31 | JavaScript | 498 | 55252309 | Interpreted |
| 32 | TypeScript | 1296 | 223188309 | 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_2000_output.txt`.

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