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language: en
license: apache-2.0
tags:
- benchmark
- mobile-ai
- edge-computing
- snapdragon
- on-device
- llama-cpp
task_categories:
- text-generation
size_categories:
- n<1K
---
# Per-Chip Benchmark Matrix
On-device inference benchmarks for mobile LLMs across chipsets.
## Overview
This dataset contains real on-device inference benchmarks for 8 mobile-optimized
models running on Samsung S20 FE 5G phones (Snapdragon 865, 8GB RAM, Android 13).
## Contents
- `benchmark_matrix.csv` — Tabular data: model, device, chipset, tokens/sec, size
- `benchmark_matrix.json` — Full structured data including hardware specs and methodology
## Key Findings
| Model | Params | Quant | Gen t/s | Size |
|-------|--------|-------|---------|------|
| SmolLM2-135M | 135M | fp16 | 18.3 | 270MB |
| SmolLM2-360M | 360M | fp16 | 12.1 | 720MB |
| Qwen2.5-0.5B | 500M | int4 | 9.8 | 350MB |
| Llama-3.2-1B | 1B | fp16 | 6.5 | 2000MB |
| TinyLlama-1.1B | 1.1B | Q5 | 6.2 | 450MB |
| Qwen2.5-1.5B | 1.5B | Q5 | 4.2 | 900MB |
| Phi-3.5-mini | 2B | Q5 | 3.1 | 1300MB |
| Gemma-2-2B | 2B | Q5 | 3.0 | 1300MB |
## Methodology
Models run via `llama-cli` (llama.cpp) on Samsung S20 FE 5G devices:
- **Chipset**: Qualcomm Snapdragon 865 (Kryo 585, 7nm)
- **RAM**: 8GB
- **OS**: Android 13
- **Prompt**: "The capital of France is"
- **Max tokens**: 20
- **Threads**: 4
- **Context**: 512
All benchmarks run on real hardware. No simulation.
## Chipset Coverage
| Chipset | Process | NPU | Devices |
|---------|---------|-----|---------|
| Snapdragon 865 | 7nm | Hexagon HTA | Samsung S20 FE 5G |
| Snapdragon 8 Gen 2 | 4nm | Hexagon NPU | Samsung S23, OnePlus 11 |
| Apple A17 Pro | 3nm | Neural Engine (35 TOPS) | iPhone 15 Pro |
| MediaTek Dimensity 9200 | 4nm | APU 690 | Various flagships |
## Citation
```bibtex
@misc{dispatchai_benchmark_2026,
title={Per-Chip Benchmark Matrix: On-Device LLM Inference Benchmarks},
author={Aljallaf Alzaabi, Omar Abdulla Jasem},
year={2026},
url={https://huggingface.co/datasets/dispatchAI/per-chip-benchmark-matrix}
}
```
---
*Dispatch AI (FZE), Sharjah SRTI Free Zone, License No. 10818. Benchmarked on real hardware, $0 cost.*
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