# Performance Report: 2 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 | C++ | 21 | 1490944 | Compiled |
| 3 | Nim | 21 | 1523712 | Compiled |
| 4 | Rust | 21 | 1622016 | Compiled |
| 5 | C | 21 | 1671168 | Compiled |
| 6 | Lua | 21 | 2086229 | Interpreted |
| 7 | Swift | 21 | 5958314 | Compiled |
| 8 | Objective-C | 21 | 6034773 | Compiled |
| 9 | Zig | 22 | 2981888 | Compiled |
| 10 | Odin | 23 | 1605632 | Compiled |
| 11 | Fortran | 23 | 1802240 | Compiled |
| 12 | Crystal | 23 | 3249493 | Compiled |
| 13 | Bash | 25 | 2053461 | Interpreted |
| 14 | D | 26 | 2463061 | Compiled |
| 15 | Go | 30 | 3964928 | Compiled |
| 16 | Haskell | 33 | 11900245 | Compiled |
| 17 | Python | 46 | 9710250 | Interpreted |
| 18 | Perl | 46 | 12528298 | Interpreted |
| 19 | Brainfuck | 52 | 9207808 | Interpreted |
| 20 | Java | 53 | 43018922 | JIT |
| 21 | CSharp | 63 | 41451520 | JIT |
| 22 | Kotlin | 63 | 45197994 | JIT |
| 23 | Dart | 66 | 14532608 | JIT |
| 24 | PHP | 70 | 26492928 | Interpreted |
| 25 | JavaScript | 73 | 38496938 | Interpreted |
| 26 | Ruby | 80 | 28868608 | Interpreted |
| 27 | Julia | 155 | 235924138 | JIT |
| 28 | Erlang | 157 | 77425322 | Interpreted |
| 29 | R | 168 | 90860202 | Interpreted |
| 30 | Scala | 352 | 55345152 | JIT |
| 31 | Elixir | 379 | 89369258 | Interpreted |
| 32 | TypeScript | 904 | 217716053 | 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_2_output.txt`.

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