| --- |
| 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.* |
|
|
