Datasets:
File size: 1,122 Bytes
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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.
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