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NVIDIA GeForce RTX 3080
NVIDIA · GPU · Ampere

NVIDIA GeForce RTX 3080 — Benchmarks & Specs

10 GB VRAM320W TDP$699 MSRP2020

*Price sourced from Amazon.com. Price and availability subject to change.

Bottom line: how fast is the NVIDIA GeForce RTX 3080?

At 1440p (High, DLSS Quality), the NVIDIA GeForce RTX 3080 averages 149 fps in Fortnite with a 72 fps 1% low, per NoobFeed. For local LLM inference it generates 139.7 tokens/sec running llama2:7b at q4_0 under llama.cpp, per llama.cpp GitHub Discussion #15013. In PassMark G3D Mark it scores 25,024 pts, per PassMark. Its 10 GB of VRAM is the binding constraint for local inference: that capacity fits 7B-parameter models at Q4.

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 3080 is a graphics card from the Ampere family released in 2020 from NVIDIA. Key on-paper specs include 10 GB of GDDR6X VRAM, 320W TDP. It launched with a $699 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, 10 synthetic benchmark results, 12 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 3080, 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 3080 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
Rainbow Six Siege 4K Ultra 179 fps Gamers Nexus 2020-09-16
Red Dead Redemption 2 1080p High 152 fps Gamers Nexus 2020-09-16
Red Dead Redemption 2 1080p High Custom 152 fps Gamers Nexus 2020-09-16
Fortnite 1440p High DLSS Quality 149 fps 72 fps NoobFeed 2026-01-24
Minecraft RTX 1440p RT Ultra RT on DLSS Quality 130 fps Gamers Nexus 2020-09-16
Atomic Heart 1440p Atomic 130 fps 88 fps GPU Battle 2023-07-01
Minecraft RTX 1440p RTX On RT on DLSS Quality 130 fps Gamers Nexus 2020-09-16
Minecraft RTX 1440p Ultra RT on DLSS Quality 130 fps Gamers Nexus 2020-09-16
Red Dead Redemption 2 1440p Custom High 127 fps Gamers Nexus 2020-09-16
Red Dead Redemption 2 1440p High Custom 127 fps Gamers Nexus 2020-09-16
Red Dead Redemption 2 1440p High 127 fps Gamers Nexus 2020-09-16
Control 1440p RT Ultra RT on DLSS Quality 111 fps Gamers Nexus 2020-09-16
Elden Ring 1080p Maximum 110 fps Good Tech Master 2022-06-09
Elden Ring 1080p Maximum 110 fps GoodTechMaster 2022-06-09

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 3080, 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 139.7 tok/s llama.cpp GitHub Discussion #15013 2024-12-01
llama2:7b q4_0 llama.cpp 139.7 tok/s llama.cpp GitHub Discussion #15013 2024-10-01
llama2:7b q4_0 llama.cpp 139.7 tok/s knightli.com 2026-04-23
llama2:7b q4_0 llama.cpp 139.2 tok/s llama.cpp GitHub Discussion #10879 2024-06-01
llama3:8b q4_K_M llama.cpp 109.6 tok/s XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b q4_K_M llama.cpp 98.7 tok/s XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3.1:8b q4_K_M llama.cpp 79.2 tok/s LocalScore.ai 2025-01-01
qwen3:8b Q4_K_XL llama.cpp 74.2 tok/s Hardware Corner 2025-12-09
llama3.1:8b q4_K_XL llama.cpp 74.2 tok/s Hardware Corner 2025-12-09
llama3.1:8b q4_K_M llama.cpp 70.0 tok/s kunalganglani.com LLM Benchmarks 2024-12-01
llama3.1:8b q4_K_M llama.cpp 70.0 tok/s Kunal Ganglani LLM Benchmarks 2024-01-01
qwen3:235b Q8 llama.cpp 50.0 tok/s LocalLLaMA 2026-03-28

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 3080 — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
PassMark G3D Mark 25,024 pts PassMark 2026-04-20
3DMark Time Spy 18,681 points 3DMark 2022-12-01
3DMark Time Spy 15,477 points 3DMark (UL Benchmarks) 2021-06-01
3DMark Time Spy 15,065 points Moor Insights & Strategy 2020-10-10
3DMark Port Royal 12,742 points 3DMark (UL Benchmarks) 2022-06-01
3DMark Port Royal 12,619 points 3DMark 2020-12-13
3DMark Port Royal 10,700 points Moor Insights & Strategy 2020-10-10
3DMark Time Spy Extreme 7,950 points Moor Insights & Strategy 2020-10-10
3DMark Speed Way 5,089 points HWBot 2024-03-09
3DMark Speed Way 5,089 points HWBot / 3DMark Speed Way 2024-03-09

Products Featuring the NVIDIA GeForce RTX 3080

Full Specifications

tdp w320
vram gb10
vram typeGDDR6X
cuda cores8704

NVIDIA GeForce RTX 3080 — Frequently Asked Questions

What is the NVIDIA GeForce RTX 3080 best used for?
NVIDIA GeForce RTX 3080 is positioned as a 10 GB VRAM Ampere-family graphics card. Use it for 1080p gaming and general productivity. See the synthetic + AI benchmark tables below for measured performance.
When was the NVIDIA GeForce RTX 3080 released, and what was its launch MSRP?
NVIDIA GeForce RTX 3080 launched in 2020 at a $699 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 3080 run local LLMs?
Yes — NVIDIA GeForce RTX 3080 has 12 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers).
Where can I buy the NVIDIA GeForce RTX 3080?
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 3080'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 3080

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NVIDIA GeForce RTX 3080
NVIDIA GeForce RTX 3080
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