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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

Short answer: the NVIDIA GeForce RTX 4080 SUPER generates a median 102 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 5 cited runs from llama.cpp GitHub, Hardware Corner, MyAIHardware and LocalScore.ai. Its 16 GB of VRAM holds up to gpt-oss-20b at MXFP4 with an ~8K context, by the Will-It-Run matrix's sizing (14 of 23 models fit). At the $1,644.05 Amazon price checked 21 h ago (prices change), that is 62.0 tok/s per $1,000, the SpecPicks Value Index.

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

SpecPicks median: 102 tokens/sec across 5 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 54.4–148 tok/s), from llama.cpp GitHub, Hardware Corner (2 runs), MyAIHardware, LocalScore.ai. At the $1,644.05 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 62.0 tok/s per $1,000. At 1440p Ultra, the NVIDIA GeForce RTX 4080 SUPER averages 119 fps in Tom's Hardware GPU Hierarchy rasterization suite (geomean), per Tom's Hardware. For local LLM inference it generates 62.0 tokens/sec running qwen3:14b at q4_K_M under llama.cpp, per Hardware Corner. In 3DMark Fire Strike it scores 55,495 points, per LanOC Reviews. Its 16 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is gpt-oss:20b (20B parameters, MXFP4), generating 139.1 tokens/sec under llama.cpp, per Hardware Corner.

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: $1,644.05

This Amazon listing is above the NVIDIA GeForce RTX 4080 SUPER's $999 launch MSRP. Compare new and used listings on eBay before buying.

*Price sourced from Amazon.com. Last updated 2026-10-20. Price and availability subject to change.

Read the full comparison → RTX 5080 vs RTX 4080 SUPER — one generation apart

Check what fits in 16 GB: by Q4-class file size, 14 of the 23 open-weight models in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA GeForce RTX 4080 SUPER's 16 GB with 1.5 GB left for an ~8K context, up to gpt-oss-20b (a 12.1 GB MXFP4 file per its Hugging Face listing). Check a model in the Will-It-Run matrix →

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 listings. Data on this page draws on 8 linked listings, 9 synthetic benchmark results, 13 community AI inference reports (top 12 shown), 55 measured game frame-rate results (top 14 shown), compiled from Hardware Corner, WorthPlaying, Overclocking.com, Tom's Hardware, LocalScore.ai, llama.cpp GitHub, MyAIHardware, PassMark, 3DMark, KitGuru, kunalganglani.com LLM Benchmarks, LanOC Reviews; each table row links to its source. 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, 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 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
Tom's Hardware GPU Hierarchy rasterization suite (geomean) 1080p Ultra 159 fps — Tom's Hardware 2026-06-24
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
Far Cry 6 4K Ultra + DXR 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
Tom's Hardware GPU Hierarchy rasterization suite (geomean) 1440p Ultra 119 fps — Tom's Hardware 2026-06-24
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

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 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_0 llama.cpp 148.3 tok/s — llama.cpp GitHub (CUDA scoreboard, Discussion #15013) 2025-08
llama2:7b q4_0 llama.cpp 147.1 tok/s — llama.cpp GitHub Discussions 2024-12-18
gpt-oss:20b MXFP4 llama.cpp 4K context 139.1 tok/s — Hardware Corner 2026-10-05
qwen3:8b q4_K_M llama.cpp 4K context 102.7 tok/s — Hardware Corner 2025-06
llama3.1:8b q4_K_M llama.cpp 102.0 tok/s 5.5 GB MyAIHardware 2026-05
qwen3:8b q4_K_M llama.cpp 16K context 77.9 tok/s — Hardware Corner 2025-06
qwen3:14b q4_K_M llama.cpp 4K context 62.0 tok/s — Hardware Corner 2025-06
gpt-oss:20b MXFP4 llama.cpp 128K context 60.0 tok/s — Hardware Corner 2026-10-05
qwen2.5:14b q4_K_M llama.cpp 60.0 tok/s — kunalganglani.com LLM Benchmarks 2024-09
llama3.1:8b q4_K_M llama.cpp 54.4 tok/s — LocalScore.ai retrieved 2026-08-06
qwen3:14b q4_K_M llama.cpp 16K context 52.8 tok/s — Hardware Corner 2026-10-05
qwen2.5:14b q4_K_M llama.cpp 43.6 tok/s — LocalScore.ai retrieved 2026-08-06

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 retrieved 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 3DMark (UL Benchmarks) 2026-10-05
PassMark G2D Mark 1,279 pts PassMark retrieved 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

TDP320 W
VRAM16 GB
Memory 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 a 16 GB VRAM Ada Lovelace-family graphics card. 1440p/4K gaming and mid-tier AI workloads are the headline use cases; the benchmark tables on this page place it within its generation.
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 drift from launch pricing over a product's life, so check the current listing before buying.
Where do the NVIDIA GeForce RTX 4080 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 NVIDIA GeForce RTX 4080 SUPER run local LLMs?
Yes — AI inference results for the NVIDIA GeForce RTX 4080 SUPER are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. 16 GB VRAM fits 13-17B-parameter models at Q4.
Where can I buy the NVIDIA GeForce RTX 4080 SUPER?
Amazon listings for the NVIDIA GeForce RTX 4080 SUPER are linked at the top of this page and in the Products Featuring the NVIDIA GeForce RTX 4080 SUPER section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

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.

Editorial guides covering the NVIDIA GeForce RTX 4080 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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NVIDIA GeForce RTX 4080 SUPER
NVIDIA GeForce RTX 4080 SUPER
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