Intel Arc Pro A60, AI & Machine Learning Benchmarks & Specs

12GB · AI Score 2.3/100 · anchored estimate vs 51 measured cards

2.3 AI Score Includes estimates

We have not run Intel Arc Pro A60 on our bench. These figures are anchored estimates, interpolated per workload against the 51 GPUs we did measure (confidence: low). On Llama 3.1 8B (Q4_K_M) Intel Arc Pro A60 should deliver about 49.4 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 12GB. For image generation, SDXL should run near 0.8 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 8 of the 12 workloads won't fit on 12GB at the tested precision, Qwen3 32B, Llama 3.3 70B, Z-Image Turbo, FLUX.1-dev 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

Qwen3 4B80.6

Llama 3.1 8B49.4

Qwen2.5-Coder 14B27.2

Workload	Result	Telemetry	Data
Qwen3 4B	80.6 tok/s	estimated	Est.
Llama 3.1 8B	49.4 tok/s	estimated	Est.
Qwen2.5-Coder 14B	27.2 tok/s	estimated	Est.
Qwen3 32B	✕ Won't fit	VRAM-gated at this precision	Est.
Llama 3.3 70B	✕ Won't fit	VRAM-gated at this precision	Est.

Image Generation images/min 3

Workload	Result	Telemetry	Data
Stable Diffusion XL	1.6 images/min	estimated	Est.
Z-Image Turbo	✕ Won't fit	VRAM-gated at this precision	Est.
FLUX.1 dev	✕ Won't fit	VRAM-gated at this precision	Est.

Image Editing images/min 2

Workload	Result	Telemetry	Data
FLUX.1 Kontext dev	✕ Won't fit	VRAM-gated at this precision	Est.
Qwen-Image-Edit	✕ Won't fit	VRAM-gated at this precision	Est.

Video Generation frames/s 2

Workload	Result	Telemetry	Data
LTX-Video (distilled)	✕ Won't fit	VRAM-gated at this precision	Est.
Wan 2.2 5B (720p)	✕ Won't fit	VRAM-gated at this precision	Est.

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 (Bandwidth Theil-Sen ladder off NVIDIA anchors × vendor factor (LLM ×0.7, diffusion ×0.35); realistic VRAM floors). The VRAM “won’t fit” gates are exact, since they’re pure capacity limits. Confidence: low. Estimates are replaced with measured data as more silicon goes through the bench. Full methodology →

Intel Arc Pro A60 specifications

Architecture	Xe HPG (Alchemist)
Xe cores	16
VRAM	12GB GDDR6
Memory bus	192-bit
Memory bandwidth	384 GB/s
Boost clock	2,050 MHz
TDP	130 W
Process	6nm
Interface	PCIe 4.0 x16
Release date	2023-06-01

Verdict, capable, but 12GB sets the ceiling

Intel Arc Pro A60 scores 2.3/100, #79 of 102. It ran 4 of 12; 8 exceeded its 12GB. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the Intel Arc Pro A60 lands

100% = this card, AI & Machine Learning headline metric (AI Score). #19 of 20 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA RTX A4500	222%	5.1
NVIDIA RTX A4000	178%	4.1
NVIDIA Quadro RTX 5000	152%	3.5
NVIDIA RTX 2000 Ada Generation	135%	3.1
Intel Arc Pro A60	100%	2.3
NVIDIA RTX A2000	57%	1.3

One tier up: NVIDIA RTX 2000 Ada Generation (+35%)
One tier down: NVIDIA RTX A2000 (-43%)

← 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	36.8 min	n/a	estimate, 0 of 1 stage measured

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 FLUX.1 Kontext dev), 6-panel comic page (needs Qwen3 32B), 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), 24-frame storyboard (needs Qwen3 32B), 100-photo restore and enlarge (needs FLUX.1 Kontext dev).