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Arc B580
Intel · GPU · Battlemage

Intel Arc B580 — Benchmarks & Specs

12 GB VRAM190W TDP$249 MSRP2024

Short answer: the Intel Arc B580 generates a median 35.2 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 10 cited runs from KnightLi llama.cpp GPU Scoreboard, llama.cpp GitHub Discussions, dev.to, RunAIHome, InsiderLLM, Compute Market and IPEX-LLM GitHub Issues. Its 12 GB of VRAM holds up to Phi-4 14B at Q4_K_M with an ~8K context, by the Will-It-Run matrix's sizing (13 of 23 models fit).

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Bottom line: how fast is the Arc B580?

SpecPicks median: 35.2 tokens/sec across 10 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 21.3–72.0 tok/s), from KnightLi llama.cpp GPU Scoreboard, llama.cpp GitHub Discussions (2 runs), dev.to, RunAIHome, InsiderLLM, Compute Market (3 runs), IPEX-LLM GitHub Issues. At 1440p High, the Arc B580 averages 63 fps in Dying Light 2, per Gamers Nexus. For local LLM inference it generates 12.0 tokens/sec running gemma3:12b at q4_K_M under ollama, per Compute Market. In 3DMark Solar Bay it scores 56,724 points, per PC Watch. Its 12 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is qwen2.5:14b (14B parameters, q4_K_M), generating 35.0 tokens/sec under llama.cpp, per InsiderLLM.

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; the SpecPicks median is computed here from the runs it names, each a row in the AI table. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

Read the full comparison → Gunnir Arc B580 vs RTX 5090D on DeepSeek: The Budget AI-Rig Upset Explained

Check what fits in 12 GB: by Q4-class file size, 13 of the 23 open-weight models in the SpecPicks Will-It-Run matrix load entirely into the Intel Arc B580's 12 GB with 1.5 GB left for an ~8K context, up to Phi-4 14B (a 9.1 GB Q4_K_M file per its Hugging Face listing). Will Phi-4 14B run on the Intel Arc B580? → · Full Will-It-Run matrix

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 listings. Data on this page draws on 8 linked listings, 20 synthetic benchmark results (top 10 shown), 27 community AI inference reports (top 19 shown), 105 measured game frame-rate results (top 15 shown), compiled from Compute Market, Gamers Nexus, InsiderLLM, NoobFeed, XDA Developers, dev.to, IPEX-LLM GitHub Issues, KitGuru, KnightLi llama.cpp GPU Scoreboard, llama.cpp GitHub Discussions, PC Watch, Puget Systems, RunAIHome, 3DMark.com, Club386, Notebookcheck, OpenBenchmarking.org, PassMark, Phoronix, Technetbooks, TechPowerUp, TechSpot, Tom's Guide; each table row links to its source. 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, synthetic benchmark scores, 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
Marvel's Spider-Man Remastered 1080p — 152 fps — TechSpot 2024-12-12
Shadow of the Tomb Raider 1440p Highest 144 fps — NoobFeed 2025-06-04
Resident Evil 4 (2023) 1080p Prioritize Graphics 128 fps 74 fps Gamers Nexus 2024-12-05
Resident Evil 4 1080p Max Graphics 128 fps 74 fps Gamers Nexus 2024-12-12
Resident Evil 4 1080p Prioritize Graphics 128 fps 63 fps Gamers Nexus 2024-12-12
Resident Evil 4 (2023) 1080p Max Graphics 128 fps 68 fps Gamers Nexus 2024-12-12
Final Fantasy XIV: Dawntrail 1080p Maximum 124 fps 49 fps Gamers Nexus 2024-12-12
Counter-Strike 2 1080p Ultra 121 fps 99 fps Puget Systems 2025-02-15
Forza Horizon 5 1440p Ultra XeSS 106 fps — Tom's Guide 2025-08-12
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
Shadow of the Tomb Raider 1080p Ultra 97 fps — XDA Developers 2024-12-12
Dying Light 2 1440p High 63 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 for a single request (one user's generation speed). Higher is better; each row links to the community report or benchmark database it came from.
Model Quantization Relative Tokens/sec VRAM used Source
llama2:7b q4_K_M llama.cpp 72.0 tok/s — KnightLi llama.cpp GPU Scoreboard 2026-04-23
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
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 — dev.to 2026-01
llama3.1:8b q4_K_M llama.cpp 41.0 tok/s 5.5 GB RunAIHome 2026-01
llama3.1:8b q4_K_M llama.cpp 40.0 tok/s 5.5 GB InsiderLLM 2026-03-05
gemma3:4b q4_K_M ollama 38.0 tok/s — Compute Market 2026-01
gemma2:9b q4_K_M llama.cpp 38.0 tok/s — Compute Market 2026-03-29
qwen2.5:14b q4_K_M llama.cpp 35.0 tok/s 9.5 GB InsiderLLM 2026-03-05
qwen3:8b q4_K_M llama.cpp 30.4 tok/s — llama.cpp GitHub Discussion #12570 2026-07
llama3:8b q4_K_M llama.cpp 28.0 tok/s — Compute Market 2026-03-29
llama3.1:8b q4_K_M llama.cpp 28.0 tok/s 5.5 GB Compute Market 2026-03-29
deepseek-r1:7b q4_K_M llama.cpp 25.0 tok/s — Compute Market 2026-03-29
glm4:9b q4_0 llama.cpp 21.3 tok/s 5.1 GB IPEX-LLM GitHub Issues 2024-12-20
gemma3:12b q4_K_M ollama 12.0 tok/s — Compute Market 2026-01

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. A benchmark listed more than once is separate published results, shown as published rather than averaged.
Benchmark Relative Score Source
3DMark Solar Bay 56,724 points PC Watch (Impress) 2024-12-12
3DMark Time Spy 18,500 pts TechPowerUp 2025-01-15
PassMark G3D Mark 15,926 pts PassMark retrieved 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
3DMark Fire Strike Ultra 7,953 points XDA Developers 2024-12-12
3DMark Port Royal 7,940 points PC Watch (Impress) 2024-12-12
3DMark Port Royal 7,879 points NoobFeed 2024-12-12Same result reported by Tweaktown

Products Featuring the Arc B580

Full Specifications

TDP190 W
VRAM12 GB
Xe cores20
Memory typeGDDR6

Arc B580 — Frequently Asked Questions

What is the Arc B580 best used for?
Arc B580 is a 12 GB VRAM Battlemage-family graphics card. 1080p/1440p gaming and lightweight content creation are the headline use cases; the benchmark tables on this page place it within its generation.
When was the Arc B580 released, and what was its launch MSRP?
Arc B580 launched in 2024 at a $249 MSRP. Street prices drift from launch pricing over a product's life, so check the current listing before buying.
Where do the Arc B580 benchmark numbers come from?
Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.
Can the Arc B580 run local LLMs?
Yes — AI inference results for the Arc B580 are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. 12 GB VRAM fits 8-13B-parameter models at Q4_K_M.
Where can I buy the Arc B580?
Amazon listings for the Arc B580 are linked at the top of this page and in the Products Featuring the Arc B580 section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

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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