---
language:
  - en
license: apache-2.0
task_categories:
  - text-generation
tags:
  - latency
  - benchmark
  - mobile
  - on-device
  - snapdragon
  - hardware
  - dispatchai
size_categories:
  - n<1K
---

# 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

```python
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.

🚀 [dispatchAI](https://huggingface.co/dispatchAI) — Small. Mobile. Free. UAE-built.