LLMs on the Turing Pi RK1 (RK3588)
1 sourced results. 1 configurations reached 5+ tokens/s generation.
Good for
- Small 1–3B (chat, simple agents): usable, median 14.0 t/s (≈10 words/s), best 14.0 t/s, 1 test
- Not tested yet: Medium 7–8B, Big 14B+. Help fill the gap
No Indian price found yet. Labels: ≥15 t/s fast · 5–15 usable · 2–5 slow · <2 too slow to chat. 1 token ≈ 0.75 words.
Real-world uses
Our data for this board: small (1–3B) models: median 14.0 t/s across 1 tests (usable). Use cases that need chat-speed replies want ≥5 t/s; background jobs can live with 2 t/s.
- Home server + local chatbot: Low-power always-on box running a small model for family chat or Home Assistant.
- NPU-accelerated small models: RK3588's NPU (via rknn-llm or NPU forks) can speed up small models; see our NPU vs CPU rows.
- Private document Q&A: Small RAG setups on 8–32GB RAM variants.
- Media + AI kiosk: Multiple display outputs plus a small model for signage or info desks.
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India prices
No Indian retailer listing found yet. Seen one? Tell us.
| Board ↕ | Model ↕ | Runtime & setup ↕ | Gen t/s ↕ | Price ₹ (India) ↕ | Source ↕ |
|---|---|---|---|---|---|
| Turing Pi RK1 (RK3588)32 GB RAM | LFM2.5 2.6B2.6B params · Q4_K_M | llama.cpp CPU (4 threads) | 14.0prompt 30.0 t/s | No India listing yet | Vendor Turing Pi blog2026-08-04 |
Each row shows only what its source reported: RAM, quant, prompt speed and setup appear under the main value when published. Rows with full details are listed first, fastest first. Source badges: Community, Vendor, Reproduced; ⚠ marks a speed far from similar results (how we check).