AMD · GPU · RDNA 4

AMD Radeon RX 9070 GRE — Benchmarks & Specs

12 GB VRAM

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Bottom line: how fast is the Radeon RX 9070 GRE?

At 1440p Ultra, the Radeon RX 9070 GRE averages 83 fps in HELLDIVERS 2 with a 47 fps 1% low, per PCBench. For local LLM inference it generates 58.0 tokens/sec running llama3.1:8b at q4_K_M under llama.cpp, per vram.run. In Geekbench 6 GPU Compute it scores 137,663 points, per Engadget. It has 12 GB of VRAM, and the llama3.1:8b run above (8B parameters) is the largest model on file at 4-bit quantization on this card. Larger models have no sourced run on file.

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.

Amazon listing: $699.99

*Price sourced from Amazon.com. Last updated 2026-10-13. Price and availability subject to change.

Read the full comparison → AMD Radeon RX 9070 GRE Linux Performance 2026

The Radeon RX 9070 GRE is a graphics card from the RDNA 4 family from AMD. Key on-paper specs include 12 GB of VRAM. Data on this page draws on 1 linked listing, 18 synthetic benchmark results (top 10 shown), 9 community AI inference reports, 115 game frame-rate results (top 15 shown), compiled from BabelTechReviews, StorageReview, vram.run, Engadget, Gamers Nexus, PCBench, ComputerBase, Every Local AI, GAMES.GG, llama.cpp GitHub, PassMark Software, PCGamesN; each table row links to its source. Read this page when shopping the Radeon RX 9070 GRE, 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 (reported FPS)

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

Gaming frame rates for the Radeon RX 9070 GRE by game, resolution, and quality preset. Rows from aggregator sites are estimates, not measured runs, dated by when SpecPicks fetched them. “1% low” is the frame-time floor that determines perceived smoothness. Each row links to its original review or benchmark database.
Game	Resolution	Settings	Avg FPS	1% low	Source
F1 24	1440p	Ultra	192 fps	166 fps	ComputerBase 2025-07-11
Final Fantasy XIV: Dawntrail	1080p	Ultra	180 fps	—	Gamers Nexus 2026-02-22
Forza Horizon 6	1440p	RT High RT on FSR Quality	180 fps	—	GAMES.GG 2026-06-02
Forza Horizon 6	1440p	RT High RT on FSR Quality	180 fps	—	Engadget 2026-06-01
Monster Hunter Wilds	1440p	High RT RT on FSR Quality	159 fps	—	BabelTechReviews 2026-06-01
Shadow of the Tomb Raider	1440p	Highest	152 fps	—	BabelTechReviews 2026-06-02
Cyberpunk 2077	1440p	RT Ultra RT on FSR Quality	131 fps	—	BabelTechReviews 2026-06-01
Cyberpunk 2077	1440p	Ultra RT RT on FSR Quality	131 fps	—	BabelTechReviews 2026-09-23
Cyberpunk 2077	1080p	Ultra	128 fps	—	Gamers Nexus 2026-02-22
Cyberpunk 2077	1080p	Ultra RT on FSR Quality	125 fps	110 fps	PCBench 2026-06-01
Doom: The Dark Ages	1080p	Ultra Nightmare	117 fps	—	PCGamesN 2026-06-02
Call of Duty: Black Ops 7	1440p	Ultra	117 fps	—	BabelTechReviews 2026-06-01
Final Fantasy XIV: Dawntrail	1440p	Ultra	116 fps	—	Gamers Nexus 2026-03-03
Dragon's Dogma 2	1080p	Max	114 fps	89 fps	Gamers Nexus 2026-03-03
HELLDIVERS 2	1440p	Ultra	83 fps	47 fps	PCBench 2026-06-01

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 Radeon RX 9070 GRE, 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	Tokens/sec	VRAM used	Source
gemma3:4b	q4_K_M llama.cpp	116.0 tok/s	2.0 GB	vram.run 2026-06-08
phi3:mini	— UL Procyon	106.0 tok/s	—	StorageReview 2026-06-01
llama2:7b	q4_0 llama.cpp	96.1 tok/s	—	llama.cpp GitHub 2026-06-01
mistral:7b	— UL Procyon	76.0 tok/s	—	StorageReview 2026-06-01
llama3:8b	— UL Procyon	65.5 tok/s	—	StorageReview 2026-06-01
qwen2.5:7b	q4_K_M llama.cpp	61.0 tok/s	4.0 GB	vram.run 2026-06-08
llama3.1:8b	q4_K_M llama.cpp	58.0 tok/s	4.0 GB	vram.run 2026-06-08
llama3:8b	q4_K_M llama.cpp	50.6 tok/s	—	Every Local AI 2026-06-08
llama2:13b	— UL Procyon	25.6 tok/s	—	StorageReview 2026-06-01

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 Radeon RX 9070 GRE — higher is better. Each row links to the public database the number was taken from.
Benchmark	Score	Source
Geekbench 6 GPU Compute	137,663 points	Engadget 2026-06-01
Geekbench 6 OpenCL	136,742 points	StorageReview 2026-06-01
3DMark Fire Strike	39,813 points	BabelTechReviews 2026-06-01
PassMark G3D Mark	24,025 points	PassMark Software 2026-06-10
3DMark Time Spy	17,838 points	BabelTechReviews 2026-06-02
3DMark Port Royal	13,509 points	Engadget 2026-06-01
3DMark Port Royal	13,066 points	StorageReview 2026-06-01
3DMark Fire Strike Ultra	12,347 points	BabelTechReviews 2026-06-01
3DMark Port Royal	12,067 points	BabelTechReviews 2026-06-01
3DMark Time Spy Extreme	10,718 points	Engadget 2026-06-01

Products Featuring the Radeon RX 9070 GRE

XFX

Swift AMD Radeon RX 9070 GRE White Triple Fan Gaming Edition with 12GB GDDR6 HDMI 3xDP, AMD RDNA 4…

$699.99

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Full Specifications

VRAM	12 GB

Radeon RX 9070 GRE — Frequently Asked Questions

What is the Radeon RX 9070 GRE best used for?

Radeon RX 9070 GRE is a 12 GB VRAM RDNA 4-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.

Where do the Radeon RX 9070 GRE 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 Radeon RX 9070 GRE run local LLMs?

Yes — AI inference results for the Radeon RX 9070 GRE 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 Radeon RX 9070 GRE?

Amazon listings for the Radeon RX 9070 GRE are linked at the top of this page and in the Products Featuring the Radeon RX 9070 GRE section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.