Datasets:
| 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. | |