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RTX5000-Ada-4Q
Other · GPU · Ada Lovelace

RTX5000-Ada-4Q — Benchmarks & Specs

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

At 4K Ultra with DLSS Quality upscaling, 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. In PassMark G3D Mark it scores 30,791 points, per PassMark.

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 Ada Lovelace family from Other. Data on this page draws on 6 synthetic benchmark results, 8 community AI inference reports, 1 measured game frame-rate result, compiled from XiongjieDai/GPU-Benchmarks-on-LLM-Inference, PassMark, XDA Developers, 3DMark; each table row links to its source. 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, 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 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 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
llama3:8b q4_K_M llama.cpp 512 context 91.4 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 1K context 89.9 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 4K context 85.0 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 8K context 80.0 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 512 context 32.8 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 1K context 32.7 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 4K context 32.0 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 8K context 31.3 tok/s — XiongjieDai/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
PassMark G2D Mark 90 points PassMark Software 2026-02-17

RTX5000-Ada-4Q — Frequently Asked Questions

What is the RTX5000-Ada-4Q best used for?
RTX5000-Ada-4Q is an Ada Lovelace-family graphics card. 1080p gaming and general productivity are the headline use cases; the benchmark tables on this page place it within its generation.
Where do the RTX5000-Ada-4Q 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 RTX5000-Ada-4Q run local LLMs?
Yes — AI inference results for the RTX5000-Ada-4Q 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 RTX5000-Ada-4Q?
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 RTX5000-Ada-4Q'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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