Datasets:

dispatchAI
/

on-device-latency

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

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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