NVIDIA RTX 4500 Ada Generation, AI & Machine Learning Benchmarks & Specs

24GB · AI Score 5.9/100 · anchored estimate vs 51 measured cards

5.9 AI Score Includes estimates

We have not run NVIDIA RTX 4500 Ada Generation on our bench. These figures are anchored estimates, interpolated per workload against the 51 GPUs we did measure. On Llama 3.1 8B (Q4_K_M) NVIDIA RTX 4500 Ada Generation should deliver about 77.5 tokens/sec. Stepping up to Qwen3 32B it should hold roughly 18.2 tok/s. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 24GB. For image generation, SDXL should run near 4.16 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.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Qwen3 4B119.7
Llama 3.1 8B77.5
Qwen2.5-Coder 14B43.7
Qwen3 32B18.2
WorkloadResultTelemetryData
Qwen3 4B119.7 tok/sestimatedEst.
Llama 3.1 8B77.5 tok/sestimatedEst.
Qwen2.5-Coder 14B43.7 tok/sestimatedEst.
Qwen3 32B18.2 tok/sestimatedEst.
Llama 3.3 70B✕ Won't fit VRAM-gated at this precisionEst.

Image Generation images/min 3

WorkloadResultTelemetryData
Stable Diffusion XL8.32 images/minestimatedEst.
Z-Image Turbo1.73 images/minestimatedEst.
FLUX.1 dev✕ Won't fit VRAM-gated at this precisionEst.

Image Editing images/min 2

WorkloadResultTelemetryData
FLUX.1 Kontext dev✕ Won't fit VRAM-gated at this precisionEst.
Qwen-Image-Edit✕ Won't fit VRAM-gated at this precisionEst.

Video Generation frames/s 2

WorkloadResultTelemetryData
LTX-Video (distilled)1.94 frames/sestimatedEst.
Wan 2.2 5B (720p)0.25 frames/sestimatedEst.
How this estimate is derived. This card hasn’t been through our bench yet, so its numbers are anchored estimates, interpolated from the 51 first-party measured cards (LLM: bandwidth Theil-Sen ladder · diffusion/video: tensor-throughput ladder within architecture family · gates: realistic Q4/BF16 VRAM floors). The VRAM “won’t fit” gates are exact, since they’re pure capacity limits. Estimates are replaced with measured data as more silicon goes through the bench. Full methodology →

NVIDIA RTX 4500 Ada Generation specifications

ArchitectureAda Lovelace
CUDA cores7,680
VRAM24GB GDDR6 ECC
Memory bus192-bit
Memory bandwidth432 GB/s
Boost clock2,580 MHz
TDP210 W
Process4nm
InterfacePCIe 4.0 x16
Release date2023-08-09
Launch MSRP$2,250

Verdict, capable, but 24GB sets the ceiling

NVIDIA RTX 4500 Ada Generation scores 5.9/100, #42 of 102. It ran 8 of 12; 4 exceeded its 24GB. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the NVIDIA RTX 4500 Ada Generation lands

100% = this card, AI & Machine Learning headline metric (AI Score). #13 of 20 desktop cards in this vertical.

GPURelative%AI Score
NVIDIA RTX PRO 4000 Blackwell
129%7.6
NVIDIA Quadro RTX 6000 (Turing)
125%7.4
NVIDIA RTX A5000
125%7.4
AMD Radeon Pro W7800
105%6.2
NVIDIA RTX 4500 Ada Generation
100%5.9
AMD Radeon Pro W6800
93%5.5
NVIDIA RTX A4500
86%5.1
NVIDIA RTX A4000
69%4.1
NVIDIA Quadro RTX 5000
59%3.5

← All AI & Machine Learning GPU rankings

What this card can build

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

WorkflowTimeEnergyBasis
60-second AI short film15.1 minn/aestimate, 0 of 3 stages measured
24-frame storyboard15.2 minn/aestimate, 0 of 2 stages measured
Full codebase review22.9 minn/aestimate, 0 of 1 stage measured
10 short social clips38.9 minn/aestimate, 0 of 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).