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NVIDIA RTX PRO 6000 Blackwell
NVIDIA · GPU · Blackwell Pro

NVIDIA RTX PRO 6000 Blackwell — Benchmarks & Specs

96 GB VRAM300W TDP$8,499 MSRP2025

Bottom line: how fast is the NVIDIA RTX PRO 6000 Blackwell?

At 1440p (Ultra, Native), the NVIDIA RTX PRO 6000 Blackwell averages 371 fps in Resident Evil 4, per Gamers Nexus. For local LLM inference it generates 1743.8 tokens/sec running qwen3:14b at FP16 under vllm, per DatabaseMart. In 3DMark Time Spy it scores 51,776 points, per TechSpot. Its 96 GB of VRAM is the binding constraint for local inference: that capacity fits 70B-parameter open-weight models at Q4 without offloading.

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 NVIDIA RTX PRO 6000 Blackwell is a graphics card from the Blackwell Pro family released in 2025 from NVIDIA. Key on-paper specs include 96 GB of GDDR VRAM, 300W TDP. It launched with a $8,499 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current Amazon listings. Data on this page draws on 10 synthetic benchmark results, 12 community AI inference reports, 14 measured game frame-rate results, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the NVIDIA RTX PRO 6000 Blackwell, 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 NVIDIA RTX PRO 6000 Blackwell 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
Resident Evil 4 1440p Ultra Native 371 fps — Gamers Nexus 2025-09-25
Dying Light 2 1440p High 246 fps — Gamers Nexus 2025-06-24
Dragon's Dogma 2 1080p Ultra 226 fps — Gamers Nexus 2025-06-24
Resident Evil 4 4K Prioritize Graphics 219 fps — Gamers Nexus 2025-06-24
Resident Evil 4 4K Ultra Native 219 fps — Gamers Nexus 2025-09-25
Final Fantasy XIV: Dawntrail 4K Ultra 208 fps — Gamers Nexus 2025-06-24
Dragon's Dogma 2 1440p Ultra 201 fps — Gamers Nexus 2025-06-24
Cyberpunk 2077 1440p Ultra 200 fps — Gamers Nexus 2025-06-24
Cyberpunk 2077: Phantom Liberty 1440p Ultra Native 200 fps — Gamers Nexus 2025-09-25
Cyberpunk 2077 1080p RT Medium RT on 182 fps — Gamers Nexus 2025-06-24
Black Myth: Wukong 1080p High 168 fps — Gamers Nexus 2025-06-24
Black Myth: Wukong 1080p Ultra Upscaled 168 fps — Gamers Nexus 2025-09-25
Dying Light 2 4K High 144 fps — Gamers Nexus 2025-06-24
Dragon's Dogma 2 4K Ultra 140 fps — Gamers Nexus 2025-06-24

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 NVIDIA RTX PRO 6000 Blackwell, 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
qwen3:14b FP16 vllm 1743.8 tok/s 28.0 GB DatabaseMart 2026-01-16
deepseek-r1:32b FP16 vllm 829.0 tok/s 62.0 GB DatabaseMart 2026-01-16
Llama 3.1 8B FP8 FP8 vLLM 380.0 tok/s 9.5 GB Runpod 2025-10-12
Llama 2 7B Q4_0 llama.cpp 278.9 tok/s 3.6 GB llm-tracker 2025-09-09
Llama 3.2 1B Instruct Q4_K_M llama.cpp 244.0 tok/s — LocalScore 2025-09-01
mistral-nemo:12b q4_K_M llama.cpp 163.3 tok/s 7.0 GB llm-tracker.info 2025-09-09
Meta Llama 3.1 8B Instruct Q4_K_M llama.cpp 138.0 tok/s — LocalScore 2025-09-01
Qwen2.5 14B Instruct Q4_K_M llama.cpp 81.9 tok/s — LocalScore 2025-09-01
deepseek-r1:32b — ollama 64.3 tok/s 20.0 GB DatabaseMart 2026-01-29
phi4:14b q8_0 llama.cpp 62.0 tok/s — Gamers Nexus 2025-06-24
gemma3:27b — ollama 61.5 tok/s 17.0 GB DatabaseMart 2026-01-29
qwen3:32b — ollama 56.0 tok/s 20.0 GB DatabaseMart 2026-01-29

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 NVIDIA RTX PRO 6000 Blackwell — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
3DMark Time Spy 51,776 points TechSpot 2025-05-16
PassMark G3D Mark 37,970 points PassMark 2025-05-08
3DMark Time Spy Extreme 28,009 points TechSpot 2025-05-16
3DMark Steel Nomad 16,080 points 3DMark 2025-06-01
Procyon AI Text Generation - Llama2 8,008 points StorageReview 2025-10-07
Blender Benchmark - Monster 7,870.17 samples/min StorageReview 2025-10-07
Procyon AI Text Generation - Mistral 7,346 points StorageReview 2025-10-07
Procyon AI Text Generation - Phi 6,775 points StorageReview 2025-10-07
Procyon AI Text Generation - Llama3 6,501 points StorageReview 2025-10-07
Blender Benchmark - Junkshop 4,158.91 samples/min StorageReview 2025-10-07

Full Specifications

tdp w300
vram gb96
cuda cores20480
memory typeGDDR7

NVIDIA RTX PRO 6000 Blackwell — Frequently Asked Questions

What is the NVIDIA RTX PRO 6000 Blackwell best used for?
NVIDIA RTX PRO 6000 Blackwell is positioned as a 96 GB VRAM Blackwell Pro-family graphics card. Use it for high-end 4K gaming and local LLM inference. See the synthetic + AI benchmark tables below for measured performance.
When was the NVIDIA RTX PRO 6000 Blackwell released, and what was its launch MSRP?
NVIDIA RTX PRO 6000 Blackwell launched in 2025 at a $8,499 MSRP. Street prices diverge from launch pricing over a product's lifetime — check the linked Amazon listings on this page for current availability.
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 NVIDIA RTX PRO 6000 Blackwell run local LLMs?
Yes — NVIDIA RTX PRO 6000 Blackwell has 12 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). With 96 GB VRAM, it fits the popular 32B-parameter open-weight models at Q4 quantization comfortably.
Where can I buy the NVIDIA RTX PRO 6000 Blackwell?
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 NVIDIA RTX PRO 6000 Blackwell'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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