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Quadro RTX 4000
NVIDIA · GPU · Turing

NVIDIA Quadro RTX 4000 — Benchmarks & Specs

8 GB VRAM160W TDP2018

Short answer: the NVIDIA Quadro RTX 4000 generates a median 58.6 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 5 cited runs from llama.cpp GitHub, GPU-Benchmarks-on-LLM-Inference and LocalScore.ai. Its 8 GB of VRAM holds up to Gemma 2 9B at Q4_K_M with an ~8K context, by the Will-It-Run matrix's sizing (8 of 23 models fit). A used eBay listing for it is $185.00, checked (listings can end at any time).

Bottom line: how fast is the Quadro RTX 4000?

SpecPicks median: 58.6 tokens/sec across 5 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 44.4–65.6 tok/s), from llama.cpp GitHub (2 runs), GPU-Benchmarks-on-LLM-Inference, LocalScore.ai (2 runs). One of those runs: llama3:8b at q4_K_M generates 58.6 tokens/sec under llama.cpp, per GPU-Benchmarks-on-LLM-Inference. In Geekbench 5 OpenCL it scores 144,947 points, per Geekbench Browser. Its 8 GB of VRAM is the binding constraint for local inference: the llama3:8b run above (8B parameters) is the largest model on file at 4-bit quantization on this card.

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.

eBay listing (Used): $185.00, checked . eBay listings are third-party and can end at any time; as an eBay Partner Network member, SpecPicks may earn a commission.

Check what fits in 8 GB: by Q4-class file size, 8 of the 23 open-weight models in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA Quadro RTX 4000's 8 GB with 1.5 GB left for an ~8K context, up to Gemma 2 9B (a 5.8 GB Q4_K_M file per its Hugging Face listing). Check a model in the Will-It-Run matrix →

The Quadro RTX 4000 is a graphics card from the Turing family released in 2018 from NVIDIA. Key on-paper specs include 8 GB of GDDR6 VRAM, 160W TDP. Data on this page draws on 2 linked listings, 11 synthetic benchmark results (top 10 shown), 10 community AI inference reports, compiled from LocalScore.ai, GPU-Benchmarks-on-LLM-Inference, topcpu.net, Geekbench Browser, llama.cpp GitHub, PassMark, 3DMark, cputronic.com, LocalLLaMA; each table row links to its source. Read this page when shopping the Quadro RTX 4000, 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 Quadro RTX 4000, 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 Relative Tokens/sec VRAM used Source
llama3.2:1b q4_K_M llama.cpp 189.0 tok/s — LocalScore.ai retrieved 2026-08-21
llama2:7b q4_0 llama.cpp 65.6 tok/s — llama.cpp GitHub (CUDA performance scoreboard) 2025-08
llama2:7b q4_0 llama.cpp 61.8 tok/s — llama.cpp GitHub Discussions #15013 2025-08-07
llama3:8b q4_K_M llama.cpp 58.6 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05
llama3.1:8b q4_K_M llama.cpp 53.5 tok/s — LocalScore.ai 2025-01
qwen3:0.6b — ollama 47.1 tok/s — LocalLLaMA 2026-04-15
llama3.1:8b q4_K_M llama.cpp 44.4 tok/s — LocalScore.ai retrieved 2026-08-21
llama3.1:8b-instruct q4_K_M llama.cpp (LocalScore/llamafile) 40.0 tok/s — LocalScore.ai retrieved 2026-09-24
qwen2.5:14b q4_K_M llama.cpp 30.0 tok/s — LocalScore.ai 2025-01
qwen2.5:14b q4_K_M llama.cpp 24.7 tok/s — LocalScore.ai retrieved 2026-08-21

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 Quadro RTX 4000 — 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 Relative Score Source
Geekbench 5 OpenCL 144,947 points Geekbench Browser (via technical.city) retrieved 2026-06-11
Geekbench 5 Vulkan 126,474 points Geekbench Browser (via technical.city) retrieved 2026-06-11
PassMark G3D Mark 23,674 points PassMark Software retrieved 2026-05-08
PassMark G3D Mark 14,854 pts PassMark retrieved 2026-04-20
3DMark Time Spy 14,340 points topcpu.net (aggregated 3DMark user submissions) retrieved 2026-06-11
3DMark Time Spy Extreme 6,708 points topcpu.net (aggregated 3DMark user submissions) retrieved 2026-06-11
Blender GPU Cycles 5,293 points cputronic.com retrieved 2026-06-11
3DMark Speed Way 3,666 points topcpu.net (aggregated 3DMark user submissions) retrieved 2026-06-11
3DMark Steel Nomad DX12 (Graphics score) 1,847 points 3DMark (UL Benchmarks) 2026-09-24
PassMark G2D Mark 814 pts PassMark retrieved 2026-04-20

Products Featuring the Quadro RTX 4000

Full Specifications

TDP160 W
VRAM8 GB
CUDA cores2304
Memory typeGDDR6

Quadro RTX 4000 — Frequently Asked Questions

What is the Quadro RTX 4000 best used for?
Quadro RTX 4000 is an 8 GB VRAM Turing-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.
When was the Quadro RTX 4000 released?
Quadro RTX 4000 was released in 2018, a Turing-generation part.
Where do the Quadro RTX 4000 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 Quadro RTX 4000 run local LLMs?
Yes — AI inference results for the Quadro RTX 4000 are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. 8 GB VRAM fits models up to about 9B parameters at Q4.
Where can I buy the Quadro RTX 4000?
Amazon listings for the Quadro RTX 4000 are linked at the top of this page and in the Products Featuring the Quadro RTX 4000 section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

Buying guides that rank the Quadro RTX 4000's class

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Editorial guides covering the Quadro RTX 4000

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