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NVIDIA GeForce RTX 4080 SUPER
NVIDIA · GPU · Ada Lovelace

NVIDIA GeForce RTX 4080 SUPER — Benchmarks & Specs

16 GB VRAM320W TDP$999 MSRP2024
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*Price sourced from Amazon.com. Price and availability subject to change.

Bottom line: how fast is the NVIDIA GeForce RTX 4080 SUPER?

At 1440p (Ultra, DLSS Quality), the NVIDIA GeForce RTX 4080 SUPER averages 172 fps in Avatar: Frontiers of Pandora with a 138 fps 1% low, per WorthPlaying. For local LLM inference it generates 147.1 tokens/sec running llama2:7b at q4_0 under llama.cpp, per llama.cpp GitHub Discussions. In 3DMark Fire Strike it scores 55,495 points, per LanOC Reviews. Its 16 GB of VRAM is the binding constraint for local inference: that capacity fits 13-17B-parameter models at Q4 with room for long context.

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 NVIDIA GeForce RTX 4080 SUPER is a graphics card from the Ada Lovelace family released in 2024 from NVIDIA. Key on-paper specs include 16 GB of GDDR6X VRAM, 320W TDP. It launched with a $999 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, 9 synthetic benchmark results, 11 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 NVIDIA GeForce RTX 4080 SUPER, 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 NVIDIA GeForce RTX 4080 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
Avatar: Frontiers of Pandora 1440p Ultra DLSS Quality 172 fps 138 fps WorthPlaying 2024-01-31
Call of Duty: Modern Warfare III 1440p Ultra 149 fps 126 fps WorthPlaying 2024-01-31
Avatar: Frontiers of Pandora 1440p RT Ultra RT on DLSS Quality 148 fps 117 fps WorthPlaying 2024-01-31
The Callisto Protocol 1440p Ultra 142 fps 60 fps WorthPlaying 2024-01-31
Far Cry 6 4K Ultra RT on FSR Balanced 134 fps — Overclocking.com 2024-01-31
Cyberpunk 2077 1440p Ultra DLSS Quality 132 fps 66 fps WorthPlaying 2024-01-31
Avatar: Frontiers of Pandora 1440p Ultra 124 fps 98 fps WorthPlaying 2024-01-31
Cyberpunk 2077 1440p Ultra 115 fps 76 fps WorthPlaying 2024-01-31
Marvel's Spider-Man Remastered 4K Very High RT on DLSS Quality 111 fps — KitGuru 2024-01-31
Avatar: Frontiers of Pandora 4K Ultra DLSS Quality 108 fps 89 fps WorthPlaying 2024-01-31
Cyberpunk 2077 4K RT Ultra RT on DLSS Balanced 104 fps — Overclocking.com 2024-01-31
Red Dead Redemption II 1440p Ultra 104 fps 38 fps WorthPlaying 2024-01-31
Call of Duty: Modern Warfare III 4K Ultra 104 fps 85 fps WorthPlaying 2024-01-31
Forza Motorsport 4K Ultra 100 fps — Hardware Times 2024-04-26

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 NVIDIA GeForce RTX 4080 SUPER, 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
llama2:7b q4_0 llama.cpp 147.1 tok/s — llama.cpp GitHub Discussions 2024-12-18
qwen3:8b q4_K_M llama.cpp 102.7 tok/s — Hardware Corner 2025-06-01
llama3.1:8b q4_K_M llama.cpp 102.0 tok/s 5.5 GB MyAIHardware 2026-05-01
qwen3:8b q4_K_M llama.cpp 77.9 tok/s — Hardware Corner 2025-06-01
qwen3:14b q4_K_M llama.cpp 62.0 tok/s — Hardware Corner 2025-06-01
qwen2.5:14b q4_K_M llama.cpp 60.0 tok/s — kunalganglani.com LLM Benchmarks 2024-09-01
llama3.1:8b q4_K_M llama.cpp 54.4 tok/s — LocalScore.ai 2024-06-01
qwen2.5:14b q4_K_M llama.cpp 43.6 tok/s — LocalScore.ai 2024-06-01
qwen3:97b Q5 llama.cpp 29.0 tok/s — LocalLLaMA 2026-04-13
qwen3:235b Q3 llama.cpp 11.0 tok/s — LocalLLaMA 2026-03-28
gemma:26b q4_0 llama.cpp 5.0 tok/s — LocalLLaMA 2026-04-16

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 NVIDIA GeForce RTX 4080 SUPER — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
3DMark Fire Strike 55,495 points LanOC Reviews 2024-01-31
PassMark G3D Mark 34,256 pts PassMark 2026-04-20
3DMark Time Spy 27,024 points Overclocking.com 2024-01-31
3DMark Port Royal 18,593 points Overclocking.com 2024-01-31
3DMark Time Spy Extreme 13,324 points Overclocking.com 2024-01-31
3DMark Speed Way 7,558 points Overclocking.com 2024-01-31
3DMark Steel Nomad 6,621 points UL Benchmarks (3DMark) 2024-06-01
PassMark G2D Mark 1,279 pts PassMark 2026-04-20
Tom's Hardware GPU Hierarchy 1st place Tom's Hardware 2026-04-20

Products Featuring the NVIDIA GeForce RTX 4080 SUPER

Full Specifications

tdp w320
vram gb16
vram typeGDDR6X
cuda cores10240

NVIDIA GeForce RTX 4080 SUPER — Frequently Asked Questions

What is the NVIDIA GeForce RTX 4080 SUPER best used for?
NVIDIA GeForce RTX 4080 SUPER is positioned as a 16 GB VRAM Ada Lovelace-family graphics card. Use it for 1440p/4K gaming and mid-tier AI workloads. See the synthetic + AI benchmark tables below for measured performance.
When was the NVIDIA GeForce RTX 4080 SUPER released, and what was its launch MSRP?
NVIDIA GeForce RTX 4080 SUPER launched in 2024 at a $999 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 NVIDIA GeForce RTX 4080 SUPER run local LLMs?
Yes — NVIDIA GeForce RTX 4080 SUPER has 11 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). 16 GB VRAM is enough for 13-17B parameter models at Q4 with comfortable context.
Where can I buy the NVIDIA GeForce RTX 4080 SUPER?
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 NVIDIA GeForce RTX 4080 SUPER'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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NVIDIA GeForce RTX 4080 SUPER
NVIDIA GeForce RTX 4080 SUPER
$1875.00
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