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Raspberry Pi 5 16GB
Raspberry Pi · APU · Pi 5

Raspberry Pi 5 16GB — Benchmarks & Specs

$120 MSRP2024

Bottom line: how fast is the Raspberry Pi 5 16GB?

At 1080p (Medium), the Raspberry Pi 5 16GB averages 61 fps in SuperTuxKart, per Raspberry Pi Forums. For local LLM inference it generates 20.0 tokens/sec running gemma3:1b at q4_K_M under ollama, per kunalganglani.com. In 7-Zip Multi-Thread it scores 10,944 MIPS, per Electronics For You.

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. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

The Raspberry Pi 5 16GB is an APU from the Pi 5 family released in 2024 from Raspberry Pi. It launched with a $120 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current Amazon listings. Data on this page draws on 10 synthetic benchmark results, 12 community AI inference reports, 3 measured game frame-rate results, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. 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, productivity benchmarks, 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.

Measured gaming frame rates for the Raspberry Pi 5 16GB by game, resolution, and quality preset. “1% low” is the frame-time floor that determines perceived smoothness. Each row links to its original review or benchmark database.
Game Resolution Settings Relative Avg FPS 1% low Source
SuperTuxKart 1080p Medium 61 fps — Raspberry Pi Forums 2023-11-01
Soulcalibur (Dreamcast via RetroArch lr-flycast) 1080p High 60 fps — WhyPi.org 2023-11-01
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.

Local LLM inference throughput on the Raspberry Pi 5 16GB, in generated tokens per second. Higher is better; each row links to the community report or benchmark database it came from.
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) 2026-03-01
llama3.2:1b q4_K_M ollama 17.2 tok/s — LocalAI Master 2026-06-01
TinyLlama-1.1B-Chat-v1.0 q4_K_M llama.cpp 11.8 tok/s 1.8 GB ohyaan.github.io 2024-06-01
gemma2:2b q4_K_M ollama 11.3 tok/s — LocalAI Master 2026-06-01
gemma3:1b q4_K_M ollama 10.0 tok/s 1.1 GB KunalGanglani.com 2026-04-01
gemma4:e2b q4_K_M ollama 10.0 tok/s — dev.to (Alan West) 2026-04-06
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 — LocalAI Master 2026-06-01
bitnet-b1.58-2b-4t 1.58-bit ollama 8.0 tok/s — Stratosphere Laboratory 2025-05-27
qwen3:1.7b q4_K_M ollama 7.5 tok/s 1.9 GB OpenClaw Pi OSS (GitHub) 2026-03-01
phi3.5:3.8b q4_K_M ollama 7.4 tok/s — LocalAI Master 2026-06-01

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.

Synthetic benchmark scores for the Raspberry Pi 5 16GB — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
7-Zip Multi-Thread 10,944 MIPS Electronics For You 2023-11-01
Sysbench CPU 2,730 events/sec Electronics For You 2023-11-01
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 2024-12-01
Geekbench 6 multi-core 2,144 points Raspberry Pi Forums 2025-01-13
Geekbench 6 Multi-Core 2,144 points Raspberry Pi Forums / Geekbench Browser 2025-01-11
glmark2-es2-wayland 2,036 points CNX Software 2023-11-04
GLMark2 (Wayland/DRM) 2,017 points PiMyLifeUp 2023-11-01
GLMark2 (OpenGL ES) 1,850 points WhyPi.org 2026-01-24
Geekbench 6 Multi-Core 1,604 points Raspberry Pi Foundation 2023-10-23

Full Specifications

ram gb16
cpu cores4

Raspberry Pi 5 16GB — Frequently Asked Questions

What is the Raspberry Pi 5 16GB best used for?
Raspberry Pi 5 16GB is a Pi 5-family integrated CPU+GPU SoC. Use it for mainstream desktops and gaming-focused builds. Check the synthetic benchmark scores below for at-a-glance comparison.
When was the Raspberry Pi 5 16GB released, and what was its launch MSRP?
Raspberry Pi 5 16GB launched in 2024 at a $120 MSRP. Street prices diverge from launch pricing over a product's lifetime — check the linked Amazon listings on this page for current availability.
Where do the benchmark numbers on this page come from?
Synthetic benchmarks are scraped from public databases (TechPowerUp, PassMark, Geekbench Browser, Cinebench leaderboards). AI inference numbers come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs, and Phoronix when available). Every benchmark row carries an inline source citation — click through to verify the original number.
How does the Raspberry Pi 5 16GB compare to its predecessor?
Compare Raspberry Pi 5 16GB side-by-side against other APUs on the Compare tool below. Synthetic benchmark scores let you place this SKU within its generation; the spec table shows the architectural and process-node differences from one generation to the next.
Where can I buy the Raspberry Pi 5 16GB?
Active Amazon listings aren't on file for this exact SKU yet. See the linked benchmark sources and the Compare tool for adjacent parts that may be in stock — and check the /benchmarks index for the latest curated picks in this category.

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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