Intel Arc B580, AI & Machine Learning Benchmarks & Specs

8GB · AI Score 2.0/100 · anchored estimate vs 51 measured cards

2 AI Score Includes estimates

We have not run Intel Arc B580 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 B580 should deliver about 32.6 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 8GB. For image generation, SDXL should run near 0.62 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 9 of the 12 workloads won't fit on 8GB at the tested precision, Qwen2.5-Coder 14B, Qwen3 32B, Llama 3.3 70B, Z-Image Turbo 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	51.3 tok/s	estimated	Est.
Llama 3.1 8B	32.6 tok/s	estimated	Est.
Qwen2.5-Coder 14B	n/a 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	1.24 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 B580 specifications

Architecture	Battlemage
Xe cores	8
VRAM	12GB GDDR6
Memory bus	192-bit
Memory bandwidth	456 GB/s
Boost clock	2,670 MHz
TDP	190 W
Process	6nm
Interface	PCIe 4.0 x16
Release date	2024-10-01
Launch MSRP	$179

Verdict, capable, but 8GB sets the ceiling

Intel Arc B580 scores 2.0/100, #88 of 102. It ran 3 of 12; 9 exceeded its 8GB. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the Intel Arc B580 lands

100% = this card, AI & Machine Learning headline metric (AI Score). #48 of 61 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA GeForce RTX 5060	105%	2.1
NVIDIA GeForce RTX 2070 SUPER	100%	2
NVIDIA GeForce RTX 2080 Founders Edition	100%	2
NVIDIA GeForce RTX 3060 Ti	100%	2
Intel Arc B580	100%	2
NVIDIA GeForce RTX 2060 Super	95%	1.9
NVIDIA GeForce RTX 2070	95%	1.9
NVIDIA GeForce RTX 3050	95%	1.9
GeForce RTX 4060	95%	1.9

One tier up: NVIDIA GeForce RTX 3060 Ti (0%)
One tier down: NVIDIA GeForce RTX 2060 Super (-5%)

Same card, other workloads: Intel Arc B580 Gaming benchmarks

← 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 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).