Raspberry Pi 5 16GB — Benchmarks & Specs
Short answer: the Raspberry Pi 5 16GB generates a median 2.1 tokens/sec on 7-9B dense models at 4-bit (Q4) under ollama, across 5 cited runs from Local AI Master, Jeff Geerling and It's FOSS. At the $369.99 Amazon price checked 12 h ago (prices change), that is 5.68 tok/s per $1,000, the SpecPicks Value Index.
- Median speed 2.1 tok/s 5 cited runs, 7-9B at Q4, ollama
- Lowest linked price $369.99 Amazon, checked ; prices change
- Value Index 5.68 tok/s per $1,000 median speed ÷ the price above
Bottom line: how fast is the Raspberry Pi 5 16GB?
SpecPicks median: 2.1 tokens/sec across 5 cited single-user runs of 7-9B dense models at 4-bit (Q4) under ollama (range 2.0–2.6 tok/s), from Local AI Master (2 runs), Jeff Geerling (2 runs), It's FOSS. At the $369.99 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 5.68 tok/s per $1,000. At 1080p Medium, the Raspberry Pi 5 16GB averages 61 fps in SuperTuxKart, per Raspberry Pi Forums. For local LLM inference it generates 1.4 tokens/sec running llama2:13b at q4_0 under ollama, per Jeff Geerling. In 7-Zip Multi-Thread it scores 10,944 MIPS, per Electronics For You. It has 16 GB of memory shared by the CPU and GPU, and the llama2:13b run above (13B parameters) is the largest model on file at 4-bit quantization on it. A second published run of the same setup measured 1.5 tokens/sec, per Jeff Geerling again, so expect 1.4-1.5 tokens/sec. Larger models have no sourced run on file.
Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from; the memory size is the on-paper spec; the SpecPicks median is computed here from the runs it names, each a row in the AI table, and the per-$1,000 figure divides it by the dated listing price. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
Amazon listing: $369.99
This Amazon listing is above the Raspberry Pi 5 16GB's $120 launch MSRP. Compare new and used listings on eBay before buying.
*Price sourced from Amazon.com. Last updated 2026-10-22. Price and availability subject to change.
Read the full comparison → Hailo-8 vs Hailo-8L vs Coral TPU: Which AI Accelerator Wins on Raspberry Pi 5?
The Raspberry Pi 5 16GB is an APU from the Pi 5 family released in 2024 from Raspberry Pi. Key on-paper specs include 4 CPU cores, 16 GB of memory shared by the CPU and GPU, 17.1 GB/s of memory bandwidth. It launched with a $120 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current listings. Data on this page draws on 7 linked listings, 15 synthetic benchmark results (top 10 shown), 36 community AI inference reports (top 18 shown), 3 measured game frame-rate results, compiled from Local AI Master, Jeff Geerling, kunalganglani.com, Raspberry Pi Forums, Electronics For You, It's FOSS, pi5-llm-arena, Raspberry Pi Foundation, WhyPi.org, CNX Software, dev.to, Geekbench Browser, ohyaan.github.io, OpenClaw Pi OSS, PiMyLifeUp, Stratosphere Laboratory; each table row links to its source. Read this page when shopping the Raspberry Pi 5 16GB, comparing it against other APUs in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, synthetic benchmark scores, or local LLM inference).
Gaming Performance (measured FPS)
Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.
| Game | Resolution | Settings | Relative | Avg FPS | 1% low | Source |
|---|---|---|---|---|---|---|
| SuperTuxKart | 1080p | Medium | 61 fps | — | Raspberry Pi Forums 2023-11 | |
| Soulcalibur (Dreamcast via RetroArch lr-flycast) | 1080p | High | 60 fps | — | WhyPi.org 2023-11 | |
| OpenArena | 1080p | Medium | 27 fps | — | Raspberry Pi Foundation 2023-10-20 |
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| gemma3:1b | q4_K_M ollama | 20.0 tok/s | 1.0 GB | kunalganglani.com 2026-04-12 | |
| qwen3:0.6b | q5_K_M ollama | 18.0 tok/s | 1.3 GB | OpenClaw Pi OSS (GitHub) 2026-03 | |
| llama3.2:1b | q4_K_M ollama | 17.2 tok/s | — | Local AI Master 2026-06 | |
| deepseek-r1:1.5b | — llama.cpp | 12.0 tok/s | 1.0 GB | pi5-llm-arena (GitHub) 2026-09-21 | |
| TinyLlama-1.1B-Chat-v1.0 | q4_K_M llama.cpp | 11.8 tok/s | 1.8 GB | ohyaan.github.io 2024-06 | |
| deepseek-r1:1.5b | q4_K_M ollama | 11.5 tok/s | — | pi5-llm-arena (GitHub) 2026-09-21 | |
| gemma2:2b | q4_K_M ollama | 11.3 tok/s | — | Local AI Master 2026-06 | |
| gemma4:e2b | q4_K_M ollama | 10.0 tok/s | — | dev.to (Alan West) 2026-04-06 | |
| gemma3:1b | q4_K_M ollama | 10.0 tok/s | 1.1 GB | kunalganglani.com 2026-04 | |
| gemma3:4b | q4_K_M ollama | 9.5 tok/s | 3.0 GB | kunalganglani.com 2026-04-12 | |
| llama3.2:3b | q4_K_M ollama | 8.8 tok/s | — | Local AI Master 2026-06 | |
| bitnet-b1.58-2b-4t | 1.58-bit ollama | 8.0 tok/s | — | Stratosphere Laboratory 2025-05-27 | |
| mistral:7b | q4_K_M ollama | 2.6 tok/s | — | Local AI Master 2026-06 | |
| llama3.1:8b | q4_K_M ollama | 2.2 tok/s | — | Jeff Geerling / geerlingguy ai-benchmarks GitHub 2025-01 | |
| llama3.1:8b | q4_K_M ollama | 2.1 tok/s | — | Local AI Master 2026-06 | |
| Mistral 7B | Q4 ollama | 2.0 tok/s | 5.0 GB | It's FOSS 2024-10-18 | |
| llama2:13b | Q4_0 ollama | 1.5 tok/s | — | Jeff Geerling 2025-01-09 | |
| llama2:13b | q4_0 ollama | 1.4 tok/s | — | Jeff Geerling / geerlingguy ai-benchmarks GitHub 2025-01 |
Synthetic Benchmarks
Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| 7-Zip Multi-Thread | 10,944 MIPS | Electronics For You 2023-11 | |
| Sysbench CPU | 2,730 events/sec | Electronics For You 2023-11 | |
| PassMark CPU Mark (multi-thread, stock 2.4GHz) | 2,226 CPU Mark | Raspberry Pi Forums / PassMark 2023-11-29 | |
| Geekbench 6 Multi-Core (post Dec-2024 firmware SDRAM tuning) | 2,164 points | Jeff Geerling / SBC Reviews 2024-12 | |
| Geekbench 6 multi-core | 2,144 points | Raspberry Pi Forums 2025-01-13 | |
| glmark2-es2-wayland | 2,036 points | CNX Software 2023-11-04 | |
| GLMark2 (Wayland/DRM) | 2,017 points | PiMyLifeUp 2023-11 | |
| GLMark2 (OpenGL ES) | 1,850 points | WhyPi.org 2026-01-24 | |
| Geekbench 6 Multi-Core | 1,604 points | Raspberry Pi Foundation 2023-10-23 | |
| Geekbench 6 multi | 1,584 points | Geekbench Browser (via Raspberry Pi Forums t=382348) retrieved 2026-09-26Same result reported by Tom's Hardware |
Products Featuring the Raspberry Pi 5 16GB
Full Specifications
| Memory | 16 GB |
|---|---|
| CPU cores | 4 |
| Memory bandwidth | 17.1 GB/s |
Raspberry Pi 5 16GB — Frequently Asked Questions
What is the Raspberry Pi 5 16GB best used for?
When was the Raspberry Pi 5 16GB released, and what was its launch MSRP?
Where do the Raspberry Pi 5 16GB benchmark numbers come from?
How many cores does the Raspberry Pi 5 16GB have, and how does it benchmark?
Where can I buy the Raspberry Pi 5 16GB?
Buying guides that rank the Raspberry Pi 5 16GB's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
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