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GeForce RTX 4070 SUPER
NVIDIA · GPU · Ada Lovelace

NVIDIA GeForce RTX 4070 SUPER — Benchmarks & Specs

12 GB VRAM$599 MSRP

Short answer: the NVIDIA GeForce RTX 4070 SUPER generates a median 65.6 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 8 cited runs from llama.cpp GitHub Discussions, MyAIHardware, Hardware Corner, Mustafa.net LLM Benchmark and LocalScore. 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). At the $969.00 Amazon price checked 2 h ago (prices change), that is 67.7 tok/s per $1,000, the SpecPicks Value Index. That ranks #20 of 29 GPUs on tok/s per $1,000 in the SpecPicks value table (table built 2026-10-21 12:19 UTC).

Bottom line: how fast is the GeForce RTX 4070 SUPER?

SpecPicks median: 65.6 tokens/sec across 8 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 42.2–109 tok/s), from llama.cpp GitHub Discussions, MyAIHardware, Hardware Corner (3 runs), Mustafa.net LLM Benchmark, LocalScore (2 runs). At the $969.00 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 67.7 tok/s per $1,000. At 1440p Ultra, the GeForce RTX 4070 SUPER averages 112 fps in Elden Ring, per Reviewed. For local LLM inference it generates 40.0 tokens/sec running Generic 13B LLM at q4_K_M under llama.cpp, per Mustafa.net LLM Benchmark. In 3DMark Fire Strike it scores 40,043–40,528 points, across two published results (Overclocking.com, 140429 hardware review). 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 Instruct (14.8B parameters, q4_K_M), generating 24.9 tokens/sec under llama.cpp, per LocalScore. That run's source does not report a context length; the Will-It-Run matrix sizes each model at its listed quantization with an ~8K context, and by that measure Phi-4 14B at Q4_K_M is the largest that fits in 12 GB.

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, and the per-$1,000 figure divides it by the dated listing price. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

Amazon listing: $969.00

This Amazon listing is above the GeForce RTX 4070 SUPER's $599 launch MSRP. Compare new and used listings on eBay before buying.

*Price sourced from Amazon.com. Last updated 2026-10-21. Price and availability subject to change.

Read the full comparison → RTX 3060 12GB vs RTX 4070 Super for Local LLMs (2026): Same VRAM, 40% More Bandwidth

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 NVIDIA GeForce RTX 4070 SUPER'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 RTX 4070 SUPER? → · Full Will-It-Run matrix

The GeForce RTX 4070 SUPER is a graphics card from the Ada Lovelace family from NVIDIA. Key on-paper specs include 12 GB of VRAM. It launched with a $599 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 9 linked listings, 29 synthetic benchmark results (top 10 shown), 18 community AI inference reports (top 15 shown), 112 measured game frame-rate results (top 15 shown), compiled from Hardware Corner, PC Guide, Dexerto, Gamers Nexus, LocalScore, Mustafa.net LLM Benchmark, llmrun.dev, Overclocking.com, Wccftech, WorthPlaying, llama.cpp GitHub Discussions, MyAIHardware, Reviewed, PassMark, TechSpot; each table row links to its source. Read this page when shopping the GeForce RTX 4070 SUPER, 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 GeForce RTX 4070 SUPER 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
Overwatch 2 1080p Ultra 482 fps — Dexerto 2024-01-16
Doom Eternal 1080p Ultra Nightmare 397 fps — PC Guide 2024-04-29
Overwatch 2 1440p Ultra 396 fps — Dexerto 2024-01-16
Rainbow Six Siege 1440p Ultra 351 fps — Gamers Nexus 2024-02-13
Doom Eternal 1440p Ultra Nightmare 288 fps — PC Guide 2024-04-29
The Finals 1080p Ultra 256 fps — PC Guide 2024-04-29
The Finals 1080p Ultra RT on 241 fps — PC Guide 2024-04-29
Resident Evil 4 1080p Prioritize Graphics 216 fps — Gamers Nexus 2024-02-13
F1 2022 1440p Ultra 198 fps — Gamers Nexus 2024-02-13
Overwatch 2 4K Ultra 196 fps — Dexerto 2024-01-16
Shadow of the Tomb Raider 1440p High 191 fps — Gamers Nexus 2024-02-13
Marvel's Spider-Man Remastered 1440p Very High 184 fps — TechSpot 2024-01-16
Doom Eternal 4K Ultra Nightmare 174 fps — PC Guide 2024-04-29
Forza Horizon 5 1080p Ultra 171 fps — Dexerto 2024-01-16
Elden Ring 1440p Ultra 112 fps — Reviewed 2024-03-27

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 GeForce RTX 4070 SUPER, 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
llama3.2:1b q4_K_M llama.cpp 183.0 tok/s — LocalScore retrieved 2026-06-10
llama-2-7b Q4_0 llama.cpp 108.7 tok/s — llama.cpp GitHub Discussions 2024-12-18
llama3.1:8b q4_K_M llama.cpp 92.0 tok/s 5.5 GB MyAIHardware 2026-05-22
qwen3:8b q4_K_XL llama.cpp 4K context 75.4 tok/s — Hardware Corner 2026-03
Generic 7B LLM q4_K_M llama.cpp 75.0 tok/s — Mustafa.net LLM Benchmark 2026-04-22
llama3.1:8b q4_K_M ollama 61.8 tok/s 5.3 GB llmrun.dev 2025-06
qwen3:8b q4_K_M ollama 59.3 tok/s 5.5 GB llmrun.dev 2025-06
qwen3:8b Q4_K_XL llama.cpp 16K context 56.2 tok/s — Hardware Corner 2025-12-09
gemma2:9b q4_K_M ollama 53.7 tok/s 6.1 GB llmrun.dev 2025-06
Meta Llama 3.1 8B Instruct q4_K_M llama.cpp 53.4 tok/s — LocalScore (UL Benchmarks) retrieved 2026-09-19
qwen3:14b q4_K_XL llama.cpp 45.5 tok/s — Hardware Corner 2026-03
llama3.1:8b q4_K_M llama.cpp 45.3 tok/s — LocalScore retrieved 2026-06-10
qwen3:8b q4_K_M llama.cpp 42.2 tok/s — Hardware Corner 2026-03
Generic 13B LLM q4_K_M llama.cpp 40.0 tok/s — Mustafa.net LLM Benchmark 2026-04-22
Qwen2.5 14B Instruct q4_K_M llama.cpp 24.9 tok/s — LocalScore (UL Benchmarks)

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 GeForce RTX 4070 SUPER — 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 Fire Strike 40,528 points Overclocking.com (ASUS Dual RTX 4070 SUPER review) 2024-02-20
3DMark Fire Strike140429 hardware review 40,043 points WorthPlaying 2024-01-16
PassMark G3D Mark 29,959 pts PassMark retrieved 2026-04-20
3DMark Fire Strike Extreme (Graphics) 26,006 points Wccftech 2024-01-16
3DMark Fire Strike Extreme 23,212 points WorthPlaying 2024-01-16
3DMark Time Spy (Graphics) 22,846 points Wccftech 2024-01-16
3DMark Time Spy 20,835 points Overclocking.com (ASUS Dual RTX 4070 SUPER review) 2024-02-20
3DMark Time Spy140429 hardware review 19,242 points WorthPlaying 2024-01-16
3DMark Port Royal 13,981 points Wccftech 2024-01-16
3DMark Port Royal 13,059 points Overclocking.com (ASUS Dual RTX 4070 SUPER review) 2024-02-20

Products Featuring the GeForce RTX 4070 SUPER

Systems with the GeForce RTX 4070 SUPER

Laptops and desktops that ship with the GeForce RTX 4070 SUPER — whole systems, listed separately from the part itself.

Full Specifications

VRAM12 GB

GeForce RTX 4070 SUPER — Frequently Asked Questions

What is the GeForce RTX 4070 SUPER best used for?
GeForce RTX 4070 SUPER is a 12 GB VRAM Ada Lovelace-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 GeForce RTX 4070 SUPER 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 GeForce RTX 4070 SUPER run local LLMs?
Yes — AI inference results for the GeForce RTX 4070 SUPER 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 GeForce RTX 4070 SUPER?
Amazon listings for the GeForce RTX 4070 SUPER are linked at the top of this page and in the Products Featuring the GeForce RTX 4070 SUPER section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

Buying guides that rank the GeForce RTX 4070 SUPER's class

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

Editorial guides covering the GeForce RTX 4070 SUPER

In-depth SpecPicks reviews, build guides, and head-to-heads referencing this graphics card.

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Hardware benchmark data on SpecPicks

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GeForce RTX 4070 SUPER
GeForce RTX 4070 SUPER
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