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| title: Dispatch AI — Mobile AI Speed Test | |
| emoji: ⚡ | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: "4.44.1" | |
| app_file: app.py | |
| pinned: true | |
| license: other | |
| tags: | |
| - benchmark | |
| - mobile | |
| - ai | |
| - speed-test | |
| - dispatch-ai | |
| # Dispatch AI — Mobile AI Speed Test ⚡ | |
| Like Speedtest, but for AI. Pick a phone model → see benchmark results for popular LLMs. Compare phones side-by-side. | |
| Built by **Dispatch AI (FZE)** — UAE · License 10818. | |
| ## Features | |
| - 📱 **Single Phone Test** — pick a phone, see generation/prompt speeds, RAM, load time for 9+ models | |
| - ⚔️ **Compare Two Phones** — side-by-side comparison with speed difference and percentage | |
| - 📊 **6 phones** in the farm: | |
| - Samsung S20 FE (SD865) — 40 devices | |
| - Samsung S22 (SD8 Gen1) — 12 devices | |
| - Samsung A54 (Exynos 1380) — 8 devices | |
| - Pixel 7 (Tensor G2) — 6 devices | |
| - OnePlus 11 (SD8 Gen2) — 4 devices | |
| - Xiaomi Redmi Note 12 (SD685) — 10 devices | |
| - 🌙 **Dark theme** (#0A0F1A bg, #1FE0E6 cyan accent) | |
| ## Methodology | |
| - **Backend:** `llama.cpp` (via `llamafile`), Q4_K_M quants, 4 CPU threads, FP16 offload | |
| - **Prompts:** Fixed 512-token prompt; 256 generation tokens; batch size 512 | |
| - **Aggregation:** Median across all devices of each model after 5-run warm-up | |
| - **Environment:** Air-conditioned room at 22°C; screens off; batteries 80–100% | |
| ## Models Tested | |
| Qwen2.5-0.5B, Qwen2.5-1.5B, Llama-3.2-1B, Llama-3.2-3B, Gemma-2-2B, Phi-3.5-mini, SmolLM2-1.7B, SmolLM2-135M, TinyLlama-1.1B (all Q4_K_M). | |
| ## License | |
| © 2026 Dispatch AI FZE — Sharjah, UAE · License 10818. All rights reserved. | |