NVIDIA RTX 5000 Ada 32GB Benchmarks & Specs

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

SpecPicks median: 89.9 tokens/sec across 3 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 89.9–89.9 tok/s), from OpenLLMBenchmarks, GPU-Benchmarks-on-LLM-Inference (2 runs). For local LLM inference it generates 89.9 tokens/sec running llama3:8b at q4_K_M under llama.cpp, per GPU-Benchmarks-on-LLM-Inference. In Geekbench 5 Vulkan it scores 251,643 points, per Technical.city. It has 32 GB of VRAM, and the llama3:8b run above (8B parameters) is the largest model on file at 4-bit quantization on this card. 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 SpecPicks median is computed here from the runs it names, each a row in the AI table. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

The RTX 5000 Ada Generation is a graphics card from the Ada Lovelace family from NVIDIA. Key on-paper specs include 32 GB of VRAM. Data on this page draws on 2 linked listings, 12 synthetic benchmark results (top 10 shown), 9 community AI inference reports, compiled from GPU-Benchmarks-on-LLM-Inference, OpenLLMBenchmarks, LocalLLaMA, Notebookcheck, Technical.city, 3DMark, NanoReview, PassMark, Puget Systems, TopCPU.net; each table row links to its source. Read this page when shopping the RTX 5000 Ada Generation, comparing it against other graphics cards in your build, or sizing it for a specific workload (synthetic benchmark scores or local LLM inference).

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, 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
deepseekr1:32b	— ollama	100.0 tok/s	—	LocalLLaMA 2026-04-18
llama3:8b	q4_K_M llama.cpp	89.9 tok/s	—	OpenLLMBenchmarks 2024-01-01
llama3:8b	q4_K_M llama.cpp	89.9 tok/s	—	GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3.1:8b	q4_K_M llama.cpp	89.9 tok/s	—	XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-08-01
llama3:8b	FP16 llama.cpp	32.7 tok/s	—	GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3.1:8b	FP16 llama.cpp	32.7 tok/s	—	XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-08-01
llama3:8b	FP16 llama.cpp	32.7 tok/s	—	OpenLLMBenchmarks 2024-01-01
qwen3:30b	— ollama	13.0 tok/s	—	LocalLLaMA 2026-04-17
phi-3-mini-4k-instruct	q4_K_M llama.cpp	— tok/s	—	Puget Systems 2024-08-22

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 — higher is better. Each row links to the public database the number was taken from.
Benchmark	Score	Source
Geekbench 5 Vulkan	251,643 points	Technical.city (Geekbench Browser aggregate) 2023-08-01
Geekbench 5 OpenCL	193,891 points	Technical.city (Geekbench Browser aggregate) 2023-08-01
PassMark G3D Mark	30,648 points	PassMark VideoCardBenchmark 2023-10-10
PassMark G3D Mark	30,293 points	PassMark Software 2023-10-10
PassMark G3D Mark	30,156 pts	PassMark 2026-04-20
3DMark Steel Nomad Lite	28,751 points	NanoReview (3DMark Browser aggregate) 2024-01-01
3DMark Fire Strike	27,190 points	Notebookcheck 2023-06-01
3DMark Time Spy	14,894 points	Notebookcheck 2023-06-01
3DMark Time Spy	14,170 points	TopCPU.net 2026-05-01
3DMark Time Spy	13,898 points	3DMark 2024-06-09

Products Featuring the RTX 5000 Ada Generation

Quadro RTX 5000 Ada Generation GDDR6 32GB

$4999.00

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PNY

NVIDIA Quadro RTX 5000 Graphic Card - 32 GB GDDR6

$4286.96

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Full Specifications

VRAM	32 GB

RTX 5000 Ada Generation — Frequently Asked Questions

What is the RTX 5000 Ada Generation best used for?

RTX 5000 Ada Generation is a 32 GB VRAM Ada Lovelace-family workstation graphics card. Professional 3D modeling, CAD, rendering and simulation on certified drivers, plus local LLM inference in its large VRAM pool, are the headline use cases; the benchmark tables on this page place it within its generation.

Where do the RTX 5000 Ada Generation 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 run local LLMs?

Yes — AI inference results for the RTX 5000 Ada Generation are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. With 32 GB VRAM, 32B-parameter open-weight models fit at Q4 quantization.

Where can I buy the RTX 5000 Ada Generation?

Amazon listings for the RTX 5000 Ada Generation are linked at the top of this page and in the Products Featuring the RTX 5000 Ada Generation section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

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

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NVIDIA RTX 5000 Ada Generation — Benchmarks & Specs