NVIDIA Quadro RTX 8000, AI & Machine Learning Benchmarks & Specs

48GB · AI Score 8.2/100 · first-party measured on 12 AI workloads

8.2 AI Score Includes estimates

Every number on this page is first-party: NVIDIA Quadro RTX 8000 was run on our pinned 12-workload AI suite on 2026-07-11, with under 0.5% run-to-run variance. On Llama 3.1 8B (Q4_K_M) NVIDIA Quadro RTX 8000 delivers about 84.68 tokens/sec. Stepping up to Qwen3 32B it holds roughly 21.98 tok/s. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 48GB. For image generation, SDXL runs at 3.09 it/s, and FLUX.1-dev at 0.08 it/s. 1 of the 12 workloads won't fit on 48GB at the tested precision, Llama 3.3 70B. We publish those as hard gates rather than quietly dropping to a smaller quant.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Qwen3 4B127.01

Llama 3.1 8B84.68

Qwen2.5-Coder 14B46.74

Qwen3 32B21.98

Workload	Result	Telemetry	Data
Qwen3 4B	127.01 tok/s	2.9 GB peak113 W38°C1.13 tok/WQ4_K_M	✓ Measured
Llama 3.1 8B	84.68 tok/s	4.8 GB peak136 W44°C0.63 tok/WQ4_K_M	✓ Measured
Qwen2.5-Coder 14B	46.74 tok/s	8.5 GB peak138 W49°C0.34 tok/WQ4_K_M	✓ Measured
Qwen3 32B	21.98 tok/s	18.6 GB peak125 W52°C0.18 tok/WQ4_K_M	✓ Measured
Llama 3.3 70B	n/a tok/s	estimated	Est.

Image Generation images/min 3

Stable Diffusion XL6.18

Z-Image Turbo0.45

FLUX.1 dev0.171

Workload	Result	Telemetry	Data
Stable Diffusion XL	6.18 images/min	12.7 GB peak248 W53°C9.7 s/img	✓ Measured
Z-Image Turbo	0.45 images/min	41.8 GB peak248 W60°C137.1 s/img	✓ Measured
FLUX.1 dev	0.17 images/min	43.7 GB peak242 W60°C339.2 s/img	✓ 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 2026-07-11 · harness 2.0.0-standalone.

NVIDIA Quadro RTX 8000 specifications

Architecture	Turing (TU102)
CUDA cores	4,608
VRAM	48GB GDDR6
Memory bus	384-bit
Memory bandwidth	672 GB/s
Boost clock	1,770 MHz
TDP	260 W
Process	12nm
Interface	PCIe 3.0 x16
Release date	2018-08-27
Launch MSRP	$9,999

Verdict, capable, but 48GB sets the ceiling

NVIDIA Quadro RTX 8000 scores 8.2/100, #31 of 102. It ran 7 of 12; 1 exceeded its 48GB. Every figure here is our own measurement.

Relative performance: where the NVIDIA Quadro RTX 8000 lands

100% = this card, AI & Machine Learning headline metric (AI Score). #7 of 20 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA RTX PRO 5000 Blackwell	385%	31.6
NVIDIA RTX A6000	256%	21
NVIDIA RTX PRO 4500 Blackwell	157%	12.9
AMD Radeon Pro W7900	156%	12.8
NVIDIA Quadro RTX 8000	100%	8.2
NVIDIA RTX A5500	93%	7.6
NVIDIA RTX PRO 4000 Blackwell	93%	7.6
NVIDIA Quadro RTX 6000 (Turing)	90%	7.4
NVIDIA RTX A5000	90%	7.4

One tier up: AMD Radeon Pro W7900 (+56%)
One tier down: NVIDIA RTX A5500 (-7%)
Best value alternative ($1,500): NVIDIA RTX PRO 4000 Blackwell (-7%) · 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
Full codebase review	21.4 min	49.24 Wh	measured
24-frame storyboard	54.9 min	223 Wh	all 2 stages measured