# SteadyText Benchmark Results

# Speed Benchmark Results

Generated: 2025-06-23T14:56:31.252641
Platform: Linux 6.14.11-300.fc42.x86_64
Python: 3.13.2

## Key Performance Metrics

### Text Generation
- **Throughput**: 21.4 generations/sec
- **Latency**: 45.8ms (median), 69.5ms (p99)
- **Memory**: 154MB
- **Cache Hit Rate**: 65.0%

### Embeddings
- **Single Text**: 104.4 embeddings/sec
- **Batch 10**: 432.7 embeddings/sec
- **Batch 50**: 598.7 embeddings/sec

### Cache Performance
- **Cache Hit**: 1.00ms (mean)
- **Cache Miss**: 47.6ms (mean)
- **Speedup**: 48x faster with cache

### Concurrent Performance
- **1 Worker**: 21.6 ops/sec
- **4 Workers**: 312.9 ops/sec
- **8 Workers**: 840.5 ops/sec

### Model Loading
- **Time**: 2.4s (one-time cost)
- **Memory**: 1421MB

## Detailed Results Table

| Operation | Mean (ms) | P95 (ms) | P99 (ms) | Throughput | Memory (MB) |
|-----------|-----------|----------|----------|------------|-------------|
| Generation | 46.7 | 58.0 | 69.5 | 21.4 | 154 |
| Streaming | 49.3 | 58.7 | 66.0 | 20.3 | 213 |
| Embed (1) | 9.6 | 11.5 | 14.3 | 104.4 | 103 |
| Embed (10) | 23.1 | 27.3 | 29.0 | 432.7 | 105 |
| Embed (50) | 83.5 | 95.5 | 97.5 | 598.7 | 123 |


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# Accuracy Benchmark Results

Generated: 2025-06-23T14:56:31.272597
Model: BitCPM4-1B-Q8_0
Framework: lighteval

## Determinism Verification ✓

All determinism tests **PASSED**:
- **Identical Outputs**: 100% consistency across 100 iterations
- **Seed Consistency**: Tested 10 different seeds - all deterministic
- **Platform Consistency**: Verified on Tested on Linux x86_64

## Fallback Behavior ✓

Both generation and embedding work without models:
- **Generation Fallback**: Basic hash-based word selection
- **Embedding Fallback**: Zero vectors (1024-dim)

## Quality Benchmarks

| Benchmark | SteadyText Score | Baseline (1B model) | Samples |
|-----------|------------------|---------------------|---------|
| TruthfulQA | 0.42 | 0.40 | 817 |
| GSM8K | 0.18 | 0.15 | 1319 |
| HellaSwag | 0.58 | 0.55 | 10042 |
| ARC-Easy | 0.71 | 0.68 | 2376 |

## Embedding Quality

- **Semantic Similarity**: 0.76 correlation with human judgments
- **Clustering Quality**: 0.68 silhouette score

**Note**: SteadyText prioritizes determinism over absolute performance. The scores above demonstrate reasonable quality for a 1B parameter quantized model while maintaining 100% reproducibility.


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## Methodology

### Speed Benchmarks
- Warmed up with 5 iterations before measurement
- Measured 100 iterations for statistical significance
- Cleared caches between cache hit/miss tests
- Used `time.perf_counter()` for high-resolution timing
- Memory measured with `psutil`

### Accuracy Benchmarks
- Used LightEval framework for standard benchmarks
- Custom determinism tests with multiple seeds and iterations
- Fallback behavior tested with models unavailable
- All tests run with `DEFAULT_SEED=42`

### Hardware
- CPU: Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz
- RAM: 32GB DDR4
- OS: Linux 6.14.11-300.fc42.x86_64
- Python: 3.13.2
