NVIDIA RTX A5500, AI & Machine Learning Benchmarks & Specs

24GB · AI Score 7.6/100 · anchored estimate vs 51 measured cards

7.6 AI Score Includes estimates

We have not run NVIDIA RTX A5500 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 A5500 should deliver about 127.6 tokens/sec. Stepping up to Qwen3 32B it should hold roughly 30.5 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 3.06 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 4B187.5
Llama 3.1 8B127.6
Qwen2.5-Coder 14B69.9
Qwen3 32B30.5
WorkloadResultTelemetryData
Qwen3 4B187.5 tok/sestimatedEst.
Llama 3.1 8B127.6 tok/sestimatedEst.
Qwen2.5-Coder 14B69.9 tok/sestimatedEst.
Qwen3 32B30.5 tok/sestimatedEst.
Llama 3.3 70B✕ Won't fit VRAM-gated at this precisionEst.

Image Generation images/min 3

WorkloadResultTelemetryData
Stable Diffusion XL6.12 images/minestimatedEst.
Z-Image Turbo5.33 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)2.38 frames/sestimatedEst.
Wan 2.2 5B (720p)0.29 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 A5500 specifications

ArchitectureAmpere
CUDA cores10,240
VRAM24GB GDDR6
Memory bus384-bit
Memory bandwidth768 GB/s
Boost clock1,665 MHz
TDP230 W
Process8nm
InterfacePCIe 4.0 x16
Release date2022-03-22
Launch MSRP$3,600

Verdict, capable, but 24GB sets the ceiling

NVIDIA RTX A5500 scores 7.6/100, #34 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 A5500 lands

100% = this card, AI & Machine Learning headline metric (AI Score). #8 of 20 desktop cards in this vertical.

GPURelative%AI Score
NVIDIA RTX A6000
276%21
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

← 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
24-frame storyboard5.3 minn/aestimate, 0 of 2 stages measured
60-second AI short film13.1 minn/aestimate, 0 of 3 stages measured
Full codebase review14.3 minn/aestimate, 0 of 1 stage measured
10 short social clips30.3 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).