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RTX6000-Ada-3A
Other · GPU · Ada Lovelace

RTX6000-Ada-3A — Benchmarks & Specs

Short answer: the RTX6000-Ada-3A generates a median 132 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 6 cited runs from llama.cpp GitHub Discussions, Hardware Corner and GPU-Benchmarks-on-LLM-Inference.

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

SpecPicks median: 132 tokens/sec across 6 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 98.7–176 tok/s), from llama.cpp GitHub Discussions, Hardware Corner (2 runs), GPU-Benchmarks-on-LLM-Inference (3 runs). For larger models, the SpecPicks median is 18.4 tokens/sec across 6 cited single-user runs of 65-73B dense models at 4-bit (Q4) under llama.cpp (range 13.7–20.2 tok/s), from Bizon Tech GPU Benchmarks, GPU-Benchmarks-on-LLM-Inference (3 runs), Hardware Corner (2 runs). At 4K Ultra, the RTX6000-Ada-3A averages 55 fps in Starfield, per RadarGit. For local LLM inference it generates 56.0 tokens/sec running llama4:scout at q4_K_M under llama.cpp, per Fixstars Corporation Tech Blog. 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; 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 RTX6000-Ada-3A is a graphics card from the Ada Lovelace family from Other. Data on this page draws on 20 synthetic benchmark results (top 10 shown), 23 community AI inference reports (top 18 shown), 4 measured game frame-rate results, compiled from RadarGit, Hardware Corner, GPU-Benchmarks-on-LLM-Inference, Bizon Tech GPU Benchmarks, Fixstars Corporation Tech Blog, llama.cpp GitHub Discussions, technical.city, KitGuru, Notebookcheck, PassMark, StorageReview; each table row links to its source. 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, 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 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 72 fps — RadarGit 2025-03-11
Cyberpunk 2077 4K Path Traced RT on DLSS Quality 72 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

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 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
qwen3:30b-a3b q4_K_M llama.cpp 199.6 tok/s — Hardware Corner 2026-03
llama2:7b q4_0 llama.cpp 176.1 tok/s — llama.cpp GitHub Discussions 2024-06
gpt-oss:20b MXFP4 llama.cpp 160.8 tok/s — Hardware Corner 2026-03
qwen3:8b q4_K_M llama.cpp 133.9 tok/s — Hardware Corner 2026-03
llama3:8b q4_K_M llama.cpp 133.4 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-09
llama3:8b q4_K_M llama.cpp 131.0 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05
llama3.1:8b q4_K_M llama.cpp 131.0 tok/s — GitHub - GPU-Benchmarks-on-LLM-Inference 2024-05
qwen3:30b-a3b q4_K_M llama.cpp 120.1 tok/s — Hardware-Corner.net GPU LLM Ranking 2025-06
qwen3:8b q4_K_M llama.cpp 98.7 tok/s — Hardware-Corner.net GPU LLM Ranking 2025-06
qwen3:14b q4_K_M llama.cpp 81.2 tok/s — Hardware Corner 2026-03
qwen3:14b q4_K_M llama.cpp 58.5 tok/s — Hardware-Corner.net GPU LLM Ranking 2025-06
llama4:scout q4_K_M llama.cpp 56.0 tok/s 60.9 GB Fixstars Corporation Tech Blog 2025-04-14
llama3.1:70b q4_K_M llama.cpp 20.2 tok/s — Bizon Tech GPU Benchmarks 2024-01
llama3:70b q4_K_M llama.cpp 18.5 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-09
llama3:70b q4_K_M llama.cpp 18.4 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05
llama3.1:70b q4_K_M llama.cpp 18.4 tok/s — GitHub - GPU-Benchmarks-on-LLM-Inference 2024-05
llama3.3:70b q4_K_M llama.cpp 18.1 tok/s — Hardware Corner 2026-03
llama3.3:70b q4_K_M llama.cpp 13.7 tok/s — Hardware-Corner.net GPU LLM Ranking 2025-06

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. A benchmark listed more than once is separate published results, shown as published rather than averaged.
Benchmark Relative Score Source
Geekbench 5 OpenCL 311,926 points technical.city retrieved 2026-06-12
Geekbench 5 Vulkan 262,845 points technical.city retrieved 2026-06-12
3DMark Solar Bay 140,262 points RadarGit 2025-03-11
3DMark Fire Strike 48,841 points RadarGit 2025-03-11
3DMark Fire Strike Graphics 36,679 points Notebookcheck retrieved 2026-06-12
3DMark Steel Nomad Lite 32,929 points RadarGit 2025-03-11
3DMark Time Spy Graphics Score 30,518 points KitGuru 2023-02-03
3DMark Fire Strike Extreme 29,685 points StorageReview 2023-10-28
PassMark G3D Mark 28,708 points RadarGit 2025-03-11
PassMark G3D Mark 28,663 points PassMark retrieved 2026-06-12

RTX6000-Ada-3A — Frequently Asked Questions

Where do the RTX6000-Ada-3A 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 RTX6000-Ada-3A run local LLMs?
Yes — AI inference results for the RTX6000-Ada-3A 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 RTX6000-Ada-3A?
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.

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