RTX6000-Ada-3A — Benchmarks & Specs
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.
| 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.
| 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 2024-06-01 | |
| gpt-oss:20b | MXFP4 llama.cpp | 160.8 tok/s | — | Hardware Corner 2026-03-01 | |
| 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 | |
| llama3:8b | q4_K_M llama.cpp | 131.0 tok/s | — | GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01 | |
| llama3.1:8b | q4_K_M llama.cpp | 131.0 tok/s | — | GitHub - GPU-Benchmarks-on-LLM-Inference 2024-05-01 | |
| qwen3:30b-a3b | q4_K_M llama.cpp | 120.1 tok/s | — | Hardware-Corner.net GPU LLM Ranking 2025-06-01 | |
| qwen3:8b | q4_K_M llama.cpp | 98.7 tok/s | — | Hardware-Corner.net GPU LLM Ranking 2025-06-01 | |
| qwen3:14b | q4_K_M llama.cpp | 81.2 tok/s | — | Hardware Corner 2026-03-01 | |
| qwen3:14b | q4_K_M llama.cpp | 58.5 tok/s | — | Hardware-Corner.net GPU LLM Ranking 2025-06-01 | |
| 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 2024-01-01 | |
| llama3:70b | q4_K_M llama.cpp | 18.5 tok/s | — | XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-09-01 | |
| llama3:70b | q4_K_M llama.cpp | 18.4 tok/s | — | GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01 | |
| llama3.1:70b | q4_K_M llama.cpp | 18.4 tok/s | — | GitHub - GPU-Benchmarks-on-LLM-Inference 2024-05-01 | |
| llama3.3:70b | q4_K_M llama.cpp | 18.1 tok/s | — | Hardware Corner 2026-03-01 | |
| llama3.3:70b | q4_K_M llama.cpp | 13.7 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.
| 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 Graphics | 36,679 points | Notebookcheck 2023-03-01 | |
| 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 2023-03-08 |
RTX6000-Ada-3A — Frequently Asked Questions
What is the RTX6000-Ada-3A best used for?
Where do the RTX6000-Ada-3A benchmark numbers come from?
Can the RTX6000-Ada-3A run local LLMs?
Where can I buy the RTX6000-Ada-3A?
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