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Arc B580
Intel · GPU · Battlemage

Arc B580 — Benchmarks & Specs

12 GB VRAM190W TDP$249 MSRP2024
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*Price sourced from Amazon.com. Price and availability subject to change.

Bottom line: how fast is the Arc B580?

At 1440p (Highest), the Arc B580 averages 144 fps in Shadow of the Tomb Raider, per NoobFeed. For local LLM inference it generates 850.0 tokens/sec running qwen3:30b at FP16 under llama.cpp, per LocalLLaMA. In 3DMark Time Spy it scores 18,500 pts, per TechPowerUp. Its 12 GB of VRAM is the binding constraint for local inference: that capacity fits 8-13B-parameter models at Q4_K_M.

Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

The Arc B580 is a graphics card from the Battlemage family released in 2024 from Intel. Key on-paper specs include 12 GB of GDDR6 VRAM, 190W TDP. It launched with a $249 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current Amazon listings. Data on this page draws on 8+ Amazon listings, 10 synthetic benchmark results, 12 community AI inference reports, 14 measured game frame-rate results, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the Arc B580, comparing it against other graphics cards in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, productivity benchmarks, or local LLM inference).

Gaming Performance (measured FPS)

Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.

Measured gaming frame rates for the Arc B580 by game, resolution, and quality preset. “1% low” is the frame-time floor that determines perceived smoothness. Each row links to its original review or benchmark database.
Game Resolution Settings Relative Avg FPS 1% low Source
Shadow of the Tomb Raider 1440p Highest 144 fps — NoobFeed 2025-06-04
Resident Evil 4 1080p Prioritize Graphics 128 fps 63 fps Gamers Nexus 2024-12-12
Resident Evil 4 1080p Max Graphics 128 fps 74 fps Gamers Nexus 2024-12-12
Resident Evil 4 (2023) 1080p Max Graphics 128 fps 68 fps Gamers Nexus 2024-12-12
Resident Evil 4 (2023) 1080p Prioritize Graphics 128 fps 74 fps Gamers Nexus 2024-12-05
Final Fantasy XIV: Dawntrail 1080p Maximum 124 fps 49 fps Gamers Nexus 2024-12-12
Counter-Strike 2 1080p Ultra Native 121 fps 99 fps Puget Systems 2025-02-15
Cyberpunk 2077 1440p Ultra XeSS 103 fps — NoobFeed 2025-06-04
Assassin's Creed Mirage 1080p High RT on 102 fps — Club386 2024-12-12
Forza Horizon 5 1080p Extreme 100 fps — KitGuru 2024-12-12
Red Dead Redemption 2 1440p Ultra 99 fps — TechNetBooks 2025-02-01
Shadow of the Tomb Raider 1080p Ultra 97 fps — XDA-Developers 2024-12-12
Resident Evil 4 1080p RT Ultra RT on FSR Quality 94 fps — Gamers Nexus 2024-12-12
Resident Evil 4 (2023) 1080p Max RT RT on FSR Quality 94 fps — Gamers Nexus 2024-12-12

AI Inference Performance

Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.

Local LLM inference throughput on the Arc B580, in generated tokens per second. Higher is better; each row links to the community report or benchmark database it came from.
Model Quantization Relative Tokens/sec VRAM used Source
qwen3:30b FP16 llama.cpp 850.0 tok/s — LocalLLaMA 2025-05-14
llama2:7b q4_K_M llama.cpp 72.0 tok/s — KnightLi llama.cpp GPU Scoreboard 2026-04-23
llama2:7b q4_0 llama.cpp 70.1 tok/s — llama.cpp GitHub Discussion #10879 2025-01-01
llama2:7b q4_0 llama.cpp 70.1 tok/s — llama.cpp GitHub Discussions 2024-12-18
llama2:7b q4_K_M llama.cpp 70.1 tok/s — llama.cpp GitHub Discussion #10879 2024-12-18
mistral-7b-instruct-v0.3 q4_K_M ollama 62.0 tok/s 7.8 GB Puget Systems 2025-02-10
granite:3b q4_K_M llama.cpp 58.2 tok/s — InsiderLLM 2026-03-05
granite:3b — llama.cpp 58.2 tok/s — OpenBenchmarking.org 2025-12-01
llama3:8b q4_K_M ollama 55.0 tok/s 8.2 GB Phoronix 2025-01-20
gemma3:12b q4_K_M llama.cpp 50.8 tok/s — llama.cpp GitHub Discussions 2026-07-09
llama3.1:8b q4_K_M llama.cpp 41.0 tok/s 5.5 GB Run AI Home 2026-01-01
llama3.1:8b q4_K_M llama.cpp 41.0 tok/s — RunAIHome 2026-05-25

Synthetic Benchmarks

Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.

Synthetic benchmark scores for the Arc B580 — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
3DMark Time Spy 18,500 pts TechPowerUp 2025-01-15
PassMark G3D Mark 15,926 pts PassMark 2026-04-20
3DMark Time Spy 15,551 points NotebookCheck 2024-12-11
3DMark Time Spy 14,719 points KitGuru 2024-12-12
3DMark Time Spy 14,019 points XDA Developers 2024-12-12
3DMark Port Royal 8,755 points 3DMark.com 2025-01-01
3DMark Fire Strike Ultra 7,953 points XDA Developers 2024-12-12
3DMark Fire Strike Ultra 7,953 points XDA-Developers 2024-12-12
3DMark Port Royal 7,879 points Tweaktown 2024-12-05
3DMark Port Royal 7,879 points NoobFeed 2024-12-12

Products Featuring the Arc B580

Full Specifications

tdp w190
vram gb12
xe cores20
vram typeGDDR6

Arc B580 — Frequently Asked Questions

What is the Arc B580 best used for?
Arc B580 is positioned as a 12 GB VRAM Battlemage-family graphics card. Use it for 1080p/1440p gaming and lightweight content creation. See the synthetic + AI benchmark tables below for measured performance.
When was the Arc B580 released, and what was its launch MSRP?
Arc B580 launched in 2024 at a $249 MSRP. Street prices diverge from launch pricing over a product's lifetime — check the linked Amazon listings on this page for current availability.
Where do the benchmark numbers on this page come from?
Synthetic benchmarks are scraped from public databases (TechPowerUp, PassMark, Geekbench Browser, Cinebench leaderboards). AI inference numbers come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs, and Phoronix when available). Every benchmark row carries an inline source citation — click through to verify the original number.
Can the Arc B580 run local LLMs?
Yes — Arc B580 has 12 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). 12 GB VRAM is well-suited to 8-13B parameter models at Q4_K_M.
Where can I buy the Arc B580?
Amazon listings are linked at the top of this page (in the hero CTA) and in the "Products Featuring this Hardware" section below. SpecPicks earns a small affiliate commission on qualifying purchases.

Buying guides that rank the Arc B580's class

This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.

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Arc B580
Arc B580
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