NVIDIA RTX PRO 4500 Blackwell, AI & Machine Learning Benchmarks & Specs

32GB · AI Score 12.9/100 · first-party measured on 12 AI workloads

12.9 AI Score ✓ Measured

Every number on this page is first-party: NVIDIA RTX PRO 4500 Blackwell was run on our pinned 12-workload AI suite, with under 0.5% run-to-run variance. On Llama 3.1 8B (Q4_K_M) NVIDIA RTX PRO 4500 Blackwell delivers about 146.19 tokens/sec. Stepping up to Qwen3 32B it holds roughly 37.61 tok/s. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 32GB. For image generation, SDXL runs at 6.55 it/s, and FLUX.1-dev at 0.66 it/s. 2 of the 12 workloads won't fit on 32GB at the tested precision, Llama 3.3 70B, Qwen-Image-Edit. We publish those as hard gates rather than quietly dropping to a smaller quant. NVIDIA RTX PRO 4500 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 4B221.92

Llama 3.1 8B146.19

Qwen2.5-Coder 14B80.09

Qwen3 32B37.61

Workload	Result	Telemetry	Data
Qwen3 4B	221.92 tok/s	2.7 GB peak77 W45°C2.87 tok/WQ4_K_M	✓ Measured
Llama 3.1 8B	146.19 tok/s	4.9 GB peak99 W47°C1.47 tok/WQ4_K_M	✓ Measured
Qwen2.5-Coder 14B	80.09 tok/s	8.7 GB peak105 W51°C0.76 tok/WQ4_K_M	✓ Measured
Qwen3 32B	37.61 tok/s	18.7 GB peak79 W53°C0.48 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

Stable Diffusion XL13.1

Z-Image Turbo6.45

FLUX.1 dev1.414

Workload	Result	Telemetry	Data
Stable Diffusion XL	13.1 images/min	14.4 GB peak199 W55°C4.6 s/img	✓ Measured
FLUX.1 dev	1.41 images/min	23.6 GB peak123 W64°C42.6 s/img	✓ Measured CPU offload
Z-Image Turbo	6.45 images/min	25.6 GB peak200 W60°C9.3 s/img	✓ Measured

Image Editing images/min 2

Workload	Result	Telemetry	Data
FLUX.1 Kontext dev	0.88 images/min	24.7 GB peak151 W70°C68.1 s/img	✓ Measured CPU offload
Qwen-Image-Edit	✕ Won't fit needs ~42 GB	VRAM-gated at this precision	✓ Measured

Video Generation frames/s 1

Workload	Result	Telemetry	Data
LTX-Video (distilled)	3.58 frames/s	9.3 GB peak130 W61°C27.1 s/clip	✓ Measured CPU offload

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.

NVIDIA RTX PRO 4500 Blackwell specifications

Architecture	Blackwell
CUDA cores	10,496
VRAM	32GB GDDR7 ECC
Memory bus	256-bit
Memory bandwidth	896 GB/s
Boost clock	2,407 MHz
TDP	200 W
Process	4nm (TSMC 4N)
Interface	PCIe 5.0 x16
Release date	2025-08-01
Launch MSRP	$2,600

Verdict, capable, but 32GB sets the ceiling

NVIDIA RTX PRO 4500 Blackwell scores 12.9/100, #26 of 102. It ran 9 of 12; 2 exceeded its 32GB. Every figure here is our own measurement.

Relative performance: where the NVIDIA RTX PRO 4500 Blackwell lands

100% = this card, AI & Machine Learning headline metric (AI Score). #5 of 20 workstation cards in this vertical.

GPU	%	AI Score
NVIDIA RTX PRO 6000 Blackwell Workstation Edition	412%	53.1
NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition	337%	43.5
NVIDIA RTX PRO 5000 Blackwell	245%	31.6
NVIDIA RTX A6000	163%	21
NVIDIA RTX PRO 4500 Blackwell	100%	12.9
NVIDIA RTX A5500	65%	8.4
NVIDIA Quadro RTX 8000	64%	8.2
NVIDIA RTX PRO 4000 Blackwell	59%	7.6
NVIDIA Quadro RTX 6000 (Turing)	57%	7.4

One tier up: NVIDIA RTX A6000 (+63%) · compare head-to-head
One tier down: NVIDIA RTX A5500 (-35%)

← All AI & Machine Learning GPU rankings

The silicon

Transistors	45,600 million
Die size	378 mm²
Process node	4 nm
Fabricated by	TSMC
Transistor density	120.6 million per mm²

Denser than 92% of the 746 cards we have silicon data for. Density is the clearest measure of what a process node bought: a card that gained it without growing the die got its speed from the fab rather than the architecture.

Silicon figures from Wikipedia (CC BY-SA 4.0). Benchmarks on this page are our own. Compare every chip.

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	6.2 min	13.21 Wh	all 2 stages measured
60-second AI short film	10.6 min	18.99 Wh	all 3 stages measured
6-panel comic page	11.6 min	26.25 Wh	all 3 stages measured
Full codebase review	12.5 min	21.85 Wh	measured
Character sheet, 12 poses	14.6 min	35.78 Wh	all 2 stages measured
Product photo shoot	50.1 min	124.6 Wh	all 2 stages measured
Photo restoration batch	1 h 54 min	286.12 Wh	measured

Can't run: Long-form article batch (needs Llama 3.3 70B).

Rent or buy?

This card is $2,600 to buy. The cheapest listed rate on Vast.ai is $0.321/hour, but that is the floor: we budget $0.385/hour, a 20% premium, because idle time, storage and unavailable cheap instances all land on the same bill. At that rate buying wins after 6,750 GPU-hours. Below it you are paying for idle silicon.

How you would use it	GPU-hours a year	Rental cost a year	Time to break even
2 hours a day, hobby	730	$281	9.2 years
8 hours a day, working on it	2,920	$1,125	2.3 years
24/7, always-on agent	8,760	$3,374	9.2 months

At hobby usage this card is very unlikely to pay for itself before it is superseded. Rent it. Rental figures include a 20% premium over the cheapest listed rate. Ignores electricity, resale and the fact that a rented card can be a newer one tomorrow.

Rental price

$0.321/hr+0.0% since 2026-10-01low $0.321 · high $0.336

Cheapest of the RunPod and Vast on-demand rates we see, sampled daily. Spot and interruptible pricing runs lower.