NVIDIA · GPU · Ada Lovelace

NVIDIA RTX 5000 Ada Generation Embedded GPU — Benchmarks & Specs

Short answer: the NVIDIA RTX 5000 Ada Generation Embedded GPU generates 91.4 tokens/sec on llama3.1:8b (q4_K_M) under llama.cpp in a single cited run, per GPU-Benchmarks-on-LLM-Inference; there are too few comparable runs on file for a median.

Bottom line: how fast is the RTX 5000 Ada Generation Embedded GPU?

At 4K Ultra, the RTX 5000 Ada Generation Embedded GPU averages 45 fps in Cyberpunk 2077, per XDA Developers. For local LLM inference it generates 91.4 tokens/sec running llama3.1:8b at q4_K_M under llama.cpp, per GPU-Benchmarks-on-LLM-Inference. In 3DMark Fire Strike it scores 27,190 points, per Notebookcheck.

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 RTX 5000 Ada Generation Embedded GPU is a graphics card from the Ada Lovelace family from NVIDIA. Data on this page draws on 6 synthetic benchmark results, 11 community AI inference reports, 1 measured game frame-rate result, compiled from GPU-Benchmarks-on-LLM-Inference, LocalLLaMA, Notebookcheck, PassMark, XDA Developers; each table row links to its source. Read this page when shopping the RTX 5000 Ada Generation Embedded GPU, comparing it against other graphics cards 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.

Measured gaming frame rates for the RTX 5000 Ada Generation Embedded GPU 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
Cyberpunk 2077	4K	Ultra		45 fps	—	XDA Developers 2024-05-19

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 RTX 5000 Ada Generation Embedded GPU, in generated tokens per second for a single request (one user's generation speed). Higher is better; each row links to the community report or benchmark database it came from.
Model	Quantization	Tokens/sec	VRAM used	Source
llama3.1:8b	q4_K_M llama.cpp 512 context	91.4 tok/s	—	GPU-Benchmarks-on-LLM-Inference (GitHub, XiongjieDai) 2024-05
llama3.1:8b	q4_K_M llama.cpp 1K context	89.9 tok/s	—	GPU-Benchmarks-on-LLM-Inference (GitHub, XiongjieDai) 2024-05
llama3:8b	q4_K_M llama.cpp	89.9 tok/s	—	GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference 2024-05
qwen3:235b	Q8 llama.cpp	50.0 tok/s	—	LocalLLaMA 2026-03-28
qwen1:22b	INT4 ollama	50.0 tok/s	—	LocalLLaMA 2026-04-11
qwen3:0.6b	— ollama	47.1 tok/s	—	LocalLLaMA 2026-04-15
llama3.1:8b	FP16 llama.cpp 512 context	32.8 tok/s	—	GPU-Benchmarks-on-LLM-Inference (GitHub, XiongjieDai) 2024-05
llama3.1:8b	FP16 llama.cpp 1K context	32.7 tok/s	—	GPU-Benchmarks-on-LLM-Inference (GitHub, XiongjieDai) 2024-05
llama3:8b	FP16 llama.cpp	32.7 tok/s	—	GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference 2024-05
qwen3:97b	Q5 llama.cpp	29.0 tok/s	—	LocalLLaMA 2026-04-13
qwen3:235b	Q3 llama.cpp	11.0 tok/s	—	LocalLLaMA 2026-03-28

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 RTX 5000 Ada Generation Embedded GPU — higher is better. Each row links to the public database the number was taken from. A benchmark listed more than once is separate published results, shown as published rather than averaged.
Benchmark	Score	Source
3DMark Fire Strike	27,190 points	Notebookcheck retrieved 2026-06-11
PassMark G3D Mark	17,056 pts	PassMark retrieved 2026-04-20
3DMark Time Spy	14,894 points	Notebookcheck retrieved 2026-06-11
3DMark Speed Way	3,978 points	Notebookcheck retrieved 2026-06-11
PassMark G2D Mark	649 points	PassMark Software retrieved 2026-09-24
PassMark G2D Mark	592 pts	PassMark retrieved 2026-04-20

RTX 5000 Ada Generation Embedded GPU — Frequently Asked Questions

What is the RTX 5000 Ada Generation Embedded GPU best used for?

RTX 5000 Ada Generation Embedded GPU is an Ada Lovelace-family workstation graphics card. Professional 3D modeling, CAD, rendering and simulation on certified drivers are the headline use cases; the benchmark tables on this page place it within its generation.

Where do the RTX 5000 Ada Generation Embedded GPU benchmark numbers come from?

Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.

Can the RTX 5000 Ada Generation Embedded GPU run local LLMs?

Yes — AI inference results for the RTX 5000 Ada Generation Embedded GPU are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run.

Where can I buy the RTX 5000 Ada Generation Embedded GPU?

No verified listing for this exact part is on file yet. The Compare tool and the /benchmarks index cover adjacent parts that are in stock.

Buying guides that rank the RTX 5000 Ada Generation Embedded GPU's class

This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.

Editorial guides covering the RTX 5000 Ada Generation Embedded GPU

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