NVIDIA RTX A2000, AI & Machine Learning Benchmarks & Specs

6GB / 12GB · AI Score 1.3/100 · first-party measured on 12 AI workloads

1.3 AI Score ✓ Measured

Every number on this page is first-party: NVIDIA RTX A2000 was run on our pinned 12-workload AI suite on 2026-07-12, with under 0.5% run-to-run variance. 11 of the 12 workloads won't fit on 6GB / 12GB at the tested precision, Llama 3.1 8B, Qwen2.5-Coder 14B, Qwen3 32B, Llama 3.3 70B and others. We publish those as hard gates rather than quietly dropping to a smaller quant.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Workload	Result	Telemetry	Data
Qwen3 4B	68.47 tok/s	2.8 GB peak57 W60°C1.19 tok/WQ4_K_M	✓ Measured
Llama 3.1 8B	✕ Won't fit needs ~8 GB	VRAM-gated at this precision	✓ Measured
Qwen2.5-Coder 14B	✕ Won't fit needs ~11.5 GB	VRAM-gated at this precision	✓ Measured
Qwen3 32B	✕ Won't fit needs ~23 GB	VRAM-gated at this precision	✓ 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	✕ Won't fit needs ~8 GB	VRAM-gated at this precision	✓ Measured
Z-Image Turbo	✕ Won't fit needs ~13 GB	VRAM-gated at this precision	✓ 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)	✕ Won't fit needs ~14 GB	VRAM-gated at this precision	✓ Measured
Wan 2.2 5B (720p)	✕ Won't fit needs ~18 GB	VRAM-gated at this precision	✓ 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 A2000 specifications

Architecture	Ampere
CUDA cores	3,328
VRAM	6GB / 12GB GDDR6
Memory bus	192-bit
Memory bandwidth	288 GB/s
Boost clock	1,200 MHz
TDP	70 W
Process	8nm
Interface	PCIe 4.0 x8
Release date	2021-08-10
Launch MSRP	$450

Verdict, capable, but 6GB / 12GB sets the ceiling

NVIDIA RTX A2000 scores 1.3/100, #102 of 102. It ran 1 of 12; 11 exceeded its 6GB / 12GB. Every figure here is our own measurement.

Relative performance: where the NVIDIA RTX A2000 lands

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

GPU	%	AI Score
NVIDIA RTX A4000	315%	4.1
NVIDIA Quadro RTX 5000	269%	3.5
NVIDIA RTX 2000 Ada Generation	238%	3.1
Intel Arc Pro A60	177%	2.3
NVIDIA RTX A2000	100%	1.3

One tier up: Intel Arc Pro A60 (+77%)

← All AI & Machine Learning GPU rankings

What this card can build

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

Can't run: 60-second AI short film (needs Qwen3 32B), 60-second AI short film, narrated (needs Qwen3 32B), 10 short social clips (needs Qwen3 32B), 40-product photo shoot (needs Stable Diffusion XL), 6-panel comic page (needs Qwen3 32B), 20 long-form articles (needs Llama 3.3 70B), Full codebase review (needs Qwen2.5-Coder 14B), Character sheet, 12 poses (needs FLUX.1 dev), 100-photo restoration batch (needs FLUX.1 Kontext dev), 24-frame storyboard (needs Qwen3 32B), 100-photo restore and enlarge (needs FLUX.1 Kontext dev), 40-product shoot, start to finish (needs Stable Diffusion XL), 20-asset 3D game kit (needs Stable Diffusion XL).