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RTX5000-Ada-4Q
Other · GPU · Blackwell

RTX5000-Ada-4Q — Benchmarks & Specs

Bottom line: how fast is the RTX5000-Ada-4Q?

At 4K (Ultra, DLSS Quality), the RTX5000-Ada-4Q averages 45 fps in Cyberpunk 2077, per XDA Developers. For local LLM inference it generates 91.4 tokens/sec running llama3:8b at q4_K_M under llama.cpp, per XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub). In PassMark G3D Mark it scores 30,791 points, per PassMark Software.

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 RTX5000-Ada-4Q is a graphics card from the Blackwell family from Other. Data on this page draws on 5 synthetic benchmark results, 12 community AI inference reports, 1 measured game frame-rate result, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the RTX5000-Ada-4Q, comparing it against other graphics cards 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 RTX5000-Ada-4Q 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 DLSS Quality 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 RTX5000-Ada-4Q, 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
llama3:8b q4_K_M llama.cpp 91.4 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 91.4 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 89.9 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 89.9 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 85.0 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 80.0 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 32.8 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 32.7 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 32.7 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 32.0 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 31.3 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:70b q4_K_M llama.cpp 11.4 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01

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 RTX5000-Ada-4Q — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
PassMark G3D Mark 30,791 points PassMark Software 2023-10-10
PassMark G3D Mark 30,648 points PassMark 2023-10-10
PassMark G3D 23,248 points PassMark Software 2023-04-26
PassMark GPU Compute 20,730 points PassMark Software 2023-10-10
3DMark Time Spy 13,898 points 3DMark 2023-10-01

RTX5000-Ada-4Q — Frequently Asked Questions

What is the RTX5000-Ada-4Q best used for?
RTX5000-Ada-4Q is positioned as a Blackwell-family graphics card. Use it for 1080p gaming and general productivity. See the synthetic + AI benchmark tables below for measured performance.
When was the RTX5000-Ada-4Q released, and what was its launch MSRP?
Release year and launch MSRP aren't on file for RTX5000-Ada-4Q. Current pricing is visible on the linked Amazon product cards below.
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.
Can the RTX5000-Ada-4Q run local LLMs?
Yes — RTX5000-Ada-4Q has 12 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers).
Where can I buy the RTX5000-Ada-4Q?
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 RTX5000-Ada-4Q's class

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