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RTX6000-Ada-3A
Other · GPU

RTX6000-Ada-3A — Benchmarks & Specs

Bottom line: how fast is the RTX6000-Ada-3A?

At 4K (Path Traced, ray tracing on, DLSS Quality), the RTX6000-Ada-3A averages 72 fps in Cyberpunk 2077, per Radargit. For local LLM inference it generates 199.6 tokens/sec running qwen3:30b-a3b at q4_K_M under llama.cpp, per Hardware Corner. In Geekbench 5 OpenCL it scores 311,926 points, per Technical.city.

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 RTX6000-Ada-3A is a graphics card from Other. Data on this page draws on 10 synthetic benchmark results, 12 community AI inference reports, 7 measured game frame-rate results, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the RTX6000-Ada-3A, 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 RTX6000-Ada-3A 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 Path Traced RT on DLSS Quality 72 fps — Radargit 2025-03-11
Cyberpunk 2077 4K Path Traced RT on 72 fps — RadarGit 2025-03-11
Alan Wake 2 4K Ultra 64 fps — RadarGit 2025-03-11
Alan Wake 2 4K Ultra RT on 64 fps — RadarGit 2025-03-11
Alan Wake 2 4K Ultra RT on 64 fps — Radargit 2025-03-11
Starfield 4K Ultra 55 fps — Radargit 2025-03-11
Starfield 4K Ultra 55 fps — RadarGit 2025-03-11

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 RTX6000-Ada-3A, 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
qwen3:30b-a3b q4_K_M llama.cpp 199.6 tok/s — Hardware Corner 2026-03-01
llama2:7b q4_0 llama.cpp 176.1 tok/s — llama.cpp GitHub Discussions #15013 2024-11-01
llama2:7b q4_0 llama.cpp 176.1 tok/s — llama.cpp GitHub Discussion #15013 2024-11-01
llama2:7b q4_0 llama.cpp 176.1 tok/s — llama.cpp GitHub Discussions 2024-06-01
qwen3:8b q4_K_M llama.cpp 133.9 tok/s — Hardware Corner 2026-03-01
llama3:8b q4_K_M llama.cpp 133.4 tok/s — XiongjieDai GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-09-01
llama3.1:8b q4_K_M llama.cpp 131.0 tok/s — GitHub - GPU-Benchmarks-on-LLM-Inference 2024-05-01
llama3:8b q4_K_M llama.cpp 131.0 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 131.0 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-10-01
qwen3:30b-a3b q4_K_M llama.cpp 120.1 tok/s — Hardware-Corner.net GPU LLM Ranking 2025-06-01
qwen3:30b-a3b q4_K_M llama.cpp 120.1 tok/s — Hardware Corner GPU LLM Ranking 2026-02-19
qwen3:8b q4_K_M llama.cpp 98.7 tok/s — Hardware-Corner.net GPU LLM Ranking 2025-06-01

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 RTX6000-Ada-3A — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
Geekbench 5 OpenCL 311,926 points Technical.city 2023-03-01
Geekbench 5 Vulkan 262,845 points Technical.city 2023-03-01
3DMark Solar Bay 140,262 points RadarGit 2025-03-11
3DMark Fire Strike 48,841 points Radargit 2025-03-11
3DMark Fire Strike 48,841 points RadarGit 2025-03-11
3DMark Fire Strike Graphics 36,679 points NotebookCheck 2023-03-01
3DMark Steel Nomad Lite 32,929 points RadarGit 2025-03-11
3DMark Steel Nomad Lite 32,929 points Radargit 2025-03-11
3DMark Time Spy (Graphics Score) 30,518 points KitGuru 2023-02-03
3DMark Time Spy Graphics 30,518 points KitGuru 2023-02-03

RTX6000-Ada-3A — Frequently Asked Questions

What is the RTX6000-Ada-3A best used for?
RTX6000-Ada-3A is positioned as a graphics card. Use it for 1080p gaming and general productivity. See the synthetic + AI benchmark tables below for measured performance.
When was the RTX6000-Ada-3A released, and what was its launch MSRP?
Release year and launch MSRP aren't on file for RTX6000-Ada-3A. 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 RTX6000-Ada-3A run local LLMs?
Yes — RTX6000-Ada-3A 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 RTX6000-Ada-3A?
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.

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