NVIDIA RTX PRO 4000 Blackwell, AI & Machine Learning Benchmarks & Specs

24GB · AI Score 7.6/100 · first-party measured on 12 AI workloads

7.6 AI Score ✓ Measured

Every number on this page is first-party: NVIDIA RTX PRO 4000 Blackwell was run on our pinned 12-workload AI suite on 2026-07-12, with under 0.5% run-to-run variance. On Llama 3.1 8B (Q4_K_M) NVIDIA RTX PRO 4000 Blackwell delivers about 112.36 tokens/sec. Stepping up to Qwen3 32B it holds roughly 27.8 tok/s. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 24GB. For image generation, SDXL runs at 4.28 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 4 of the 12 workloads won't fit on 24GB at the tested precision, Llama 3.3 70B, FLUX.1-dev, FLUX.1 Kontext, Qwen-Image-Edit. We publish those as hard gates rather than quietly dropping to a smaller quant. NVIDIA RTX PRO 4000 Blackwell isn't a retail purchase for most people. It's rented by the hour. You can run this exact card on RunPod.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Qwen3 4B179.58

Llama 3.1 8B112.36

Qwen2.5-Coder 14B60.62

Qwen3 32B27.8

Workload	Result	Telemetry	Data
Qwen3 4B	179.58 tok/s	2.7 GB peak96 W43°C1.88 tok/WQ4_K_M	✓ Measured
Llama 3.1 8B	112.36 tok/s	4.9 GB peak112 W47°C1.01 tok/WQ4_K_M	✓ Measured
Qwen2.5-Coder 14B	60.62 tok/s	8.6 GB peak123 W53°C0.49 tok/WQ4_K_M	✓ Measured
Qwen3 32B	27.8 tok/s	18.7 GB peak114 W56°C0.24 tok/WQ4_K_M	✓ Measured
Llama 3.3 70B	✕ Won't fit needs ~46 GB	VRAM-gated at this precision	✓ Measured

Image Generation images/min 3

Workload	Result	Telemetry	Data
Stable Diffusion XL	8.56 images/min	14.4 GB peak145 W61°C7 s/img	✓ Measured
Z-Image Turbo	4.43 images/min	23.1 GB peak145 W64°C13.6 s/img	✓ Measured
FLUX.1 dev	✕ Won't fit needs ~26 GB	VRAM-gated at this precision	✓ Measured

Image Editing images/min 2

Workload	Result	Telemetry	Data
FLUX.1 Kontext dev	✕ Won't fit needs ~26 GB	VRAM-gated at this precision	✓ Measured
Qwen-Image-Edit	✕ Won't fit needs ~42 GB	VRAM-gated at this precision	✓ Measured

Video Generation frames/s 2

Workload	Result	Telemetry	Data
LTX-Video (distilled)	3.1 frames/s	9.3 GB peak118 W62°C31.3 s/clip	✓ Measured
Wan 2.2 5B (720p)	0.26 frames/s	17.3 GB peak139 W67°C188.5 s/clip	✓ Measured

How we measured this. Every result comes from our own pinned, reproducible AI suite, 12 workloads: the Qwen3-4B to Llama-70B LLM ladder (llama.cpp, Q4_K_M), SDXL / Z-Image / FLUX-dev generation, FLUX-Kontext / Qwen-Edit editing, and LTX / Wan video, run first-party on rented hardware with under 0.5% run-to-run variance. Peak VRAM, power draw, temperature and tokens-per-watt are captured per workload. “Won’t fit” rows are real data: where a model exceeds the card’s VRAM at the tested precision we record a hard gate rather than silently dropping to a smaller quant. Measured 2026-07-12 · harness 2.0.0-standalone.

NVIDIA RTX PRO 4000 Blackwell specifications

Architecture	Blackwell
CUDA cores	8,960
VRAM	24GB GDDR7 ECC
Memory bus	192-bit
Memory bandwidth	672 GB/s
Boost clock	2,617 MHz
TDP	140 W
Process	4nm (TSMC 4N)
Interface	PCIe 5.0 x16
Release date	2025-08-01
Launch MSRP	$1,500

Verdict, capable, but 24GB sets the ceiling

NVIDIA RTX PRO 4000 Blackwell scores 7.6/100, #35 of 102. It ran 8 of 12; 4 exceeded its 24GB. Every figure here is our own measurement.

Relative performance: where the NVIDIA RTX PRO 4000 Blackwell lands

100% = this card, AI & Machine Learning headline metric (AI Score). #9 of 20 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA RTX PRO 4500 Blackwell	170%	12.9
AMD Radeon Pro W7900	168%	12.8
NVIDIA Quadro RTX 8000	108%	8.2
NVIDIA RTX A5500	100%	7.6
NVIDIA RTX PRO 4000 Blackwell	100%	7.6
NVIDIA Quadro RTX 6000 (Turing)	97%	7.4
NVIDIA RTX A5000	97%	7.4
AMD Radeon Pro W7800	82%	6.2
NVIDIA RTX 4500 Ada Generation	78%	5.9

One tier up: NVIDIA RTX A5500 (0%)
One tier down: NVIDIA Quadro RTX 6000 (Turing) (-3%) · compare head-to-head

← All AI & Machine Learning GPU rankings

What this card can build

Whole-job timings, composed from our measured per-model results on this card.

Workflow	Time	Energy	Basis
24-frame storyboard	6.4 min	14.71 Wh	all 2 stages measured
60-second AI short film	10.2 min	20.63 Wh	all 3 stages measured
Full codebase review	16.5 min	33.79 Wh	measured
10 short social clips	34.2 min	78.69 Wh	all 3 stages measured

Can't run: 40-product photo shoot (needs FLUX.1 Kontext dev), 6-panel comic page (needs FLUX.1 dev), 20 long-form articles (needs Llama 3.3 70B), Character sheet, 12 poses (needs FLUX.1 dev), 100-photo restoration batch (needs FLUX.1 Kontext dev), 100-photo restore and enlarge (needs FLUX.1 Kontext dev).