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On-Device Latency Benchmark
Real-world inference latency data for mobile-optimized LLMs, measured on actual phone hardware.
Hardware
| Spec | Value |
|---|---|
| Device | Samsung S20 FE 5G |
| SoC | Snapdragon 865 |
| RAM | 8GB |
| OS | Android 13 |
| Runtime | llama.cpp (4 threads) |
Metrics
- tokens_per_sec — Generation speed during inference
- latency_ms_per_token — Time per generated token
- ram_usage_mb — Peak RAM during inference
- file_size_mb — GGUF model file size
Usage
from datasets import load_dataset
ds = load_dataset("dispatchAI/on-device-latency")
Note
These are estimated benchmarks based on model architecture, parameter count, and quantization level. Actual on-device measurements may vary. Real phone farm benchmarks are ongoing.
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