NVIDIA GeForce RTX 4080 — Benchmarks & Specs
Bottom line: how fast is the GeForce RTX 4080?
SpecPicks median: 102 tokens/sec across 9 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 59.0–143 tok/s), from knightli.com, llama.cpp GitHub, GPU-Benchmarks-on-LLM-Inference, Hardware Corner (3 runs), MyAIHardware, kunalganglani.com Local LLM Benchmarks, LocalScore.ai. At the $1,499.99 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 68.0 tok/s per $1,000. At 1440p Ultra, the GeForce RTX 4080 averages 157 fps in Assassin's Creed: Valhalla, per Hardware Times. For local LLM inference it generates 70.1 tokens/sec running ministral-3:14b at q4_K_M under ollama, per glukhov.org. In 3DMark Fire Strike it scores 48,524 points, per Overclocking.com. 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 gemma2:27b (26B parameters, IQ4_XS), generating 121.7 tokens/sec under llama.cpp, per glukhov.org.
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: $1,499.99
This Amazon listing is above the GeForce RTX 4080's $1,199 launch MSRP. Compare new and used listings on eBay before buying.
*Price sourced from Amazon.com. Last updated 2026-10-15. Price and availability subject to change.
Read the full comparison → RTX 5080 vs RTX 4080 for LLM Inference: Same 16GB, Different Answer (2026)
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'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). Will gpt-oss-20b run on the RTX 4080? → · Full Will-It-Run matrix
The GeForce RTX 4080 is a graphics card from the Ada Lovelace family from NVIDIA. Key on-paper specs include 16 GB of GDDR6X VRAM, 320W TDP. It launched with a $1,199 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, 15 synthetic benchmark results (top 10 shown), 36 community AI inference reports (top 16 shown), 78 game frame-rate results (top 15 shown), compiled from Hardware Times, Hardware Corner, 3DMark, glukhov.org, WCCFTech, GPU-Benchmarks-on-LLM-Inference, KitGuru, knightli.com, kunalganglani.com Local LLM Benchmarks, llama.cpp GitHub, LocalScore.ai, MyAIHardware, Overclocking.com, DropReference, Gamers Nexus, Hyper Cyber, Markaicode, PassMark, SmeltCore Self-Hosted AI, Tom's Hardware; each table row links to its source. Read this page when shopping the GeForce RTX 4080, 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.
| Game | Resolution | Settings | Relative | Avg FPS | 1% low | Source |
|---|---|---|---|---|---|---|
| Shadow of the Tomb Raider | 1440p | Ultra | 255 fps | — | Hardware Times 2024-03-19 | |
| Forza Horizon 5 | 1080p | Ultra | 241 fps | 179 fps | DropReference 2026-08-19 | |
| F1 2022 | 1440p | Ultra | 232 fps | — | Hardware Times 2024-03-19 | |
| Hitman 3 | 1440p | Ultra | 205 fps | — | Hardware Times 2024-03-19 | |
| Horizon Zero Dawn | 1440p | Ultimate | 200 fps | — | KitGuru 2026-07-11 | |
| Final Fantasy XIV: Dawntrail | 1440p | Maximum | 200 fps | — | Gamers Nexus 2025-01-31 | |
| Ghostwire: Tokyo | 1440p | Ultra | 193 fps | — | Hardware Times 2024-03-19 | |
| Tiny Tina's Wonderlands | 1440p | Ultra | 183 fps | — | Hardware Times 2024-03-19 | |
| Shadow of the Tomb Raider | 1440p | RT Ultra RT on | 180 fps | — | Hardware Times 2024-03-19 | |
| Dying Light 2 | 1440p | Ultra | 176 fps | — | Hardware Times 2024-03-19 | |
| Shadow of the Tomb Raider | 4K | Ultra RT on DLSS Performance | 174 fps | — | Overclocking.com 2022-11-16 | |
| Dying Light 2 | 1440p | High | 170 fps | — | KitGuru 2022-11-16 | |
| Cyberpunk 2077 | 1440p | RT Psycho RT on DLSS Quality | 168 fps | — | Hardware Times 2024-03-19 | |
| Assassin's Creed Mirage | 1080p | Ultra | 165 fps | 122 fps | Hardware Times 2023-10-05 | |
| Assassin's Creed: Valhalla | 1440p | Ultra | 157 fps | — | Hardware Times 2024-03-19 |
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| qwen3:30b-a3b | IQ3_XXS llama.cpp | 147.5 tok/s | 13.8 GB | Glukhov.org — 16GB VRAM LLM benchmarks (llama.cpp) 2026-03-09 | |
| llama2:7b | Q4_0 llama.cpp | 143.5 tok/s | — | knightli.com 2026-04-23 | |
| llama2:7b | q4_0 llama.cpp | 142.5 tok/s | — | llama.cpp GitHub 2025-08-07 | |
| gpt-oss:20b | q4_K_M ollama | 139.9 tok/s | 14.0 GB | glukhov.org 2026-03-09 | |
| gpt-oss:20b | MXFP4 llama.cpp | 136.5 tok/s | 14.0 GB | Hardware Corner 2025-09 | |
| gemma2:27b | IQ4_XS llama.cpp | 121.7 tok/s | 14.7 GB | Glukhov.org — 16GB VRAM LLM benchmarks (llama.cpp) 2026-03-09 | |
| llama3.1:8b | Q4_K_M ollama | 117.0 tok/s | 4.9 GB | Markaicode 2024-06 | |
| llama3:8b | q4_K_M llama.cpp | 106.2 tok/s | — | GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05 | |
| qwen3:8b | q4_K_M ollama | 102.7 tok/s | 5.0 GB | SmeltCore Self-Hosted AI 2026-05-29 | |
| 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 | |
| llama3.1:8b | q4_K_M llama.cpp | 100.0 tok/s | — | kunalganglani.com Local LLM Benchmarks 2026-01 | |
| llama3.1:8b | q4_K_M llama.cpp | 88.3 tok/s | — | LocalScore.ai retrieved 2026-09-19 | |
| qwen3:8b | Q4_K_M llama.cpp 16K context | 77.9 tok/s | — | Hardware Corner 2025-06 | |
| ministral-3:14b | q4_K_M ollama | 70.1 tok/s | 13.0 GB | glukhov.org 2026-03-09 | |
| qwen3:8b | q4_K_M llama.cpp 32K context | 59.0 tok/s | — | Hardware Corner 2025-09 |
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.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| 3DMark Fire Strike | 48,524 points | Overclocking.com 2022-11-15 | |
| PassMark G3D Mark | 34,433 pts | PassMark retrieved 2026-04-20 | |
| 3DMark Time Spy | 28,599 points | Tom's Hardware 2022-11-03 | |
| 3DMark Time Spy | 26,185 points | 3DMark 2023-01 | |
| 3DMark Port Royal | 17,663 points | 3DMark 2022-12-25 | |
| 3DMark Port Royal | 17,650 points | WCCFTech 2022-11 | |
| 3DMark Port Royal | 17,600 points | Hyper Cyber 2022-11-03 | |
| 3DMark Time Spy Extreme | 14,178 points | WCCFTech 2022-11 | |
| 3DMark Time Spy Extreme | 13,977 points | WCCFTech 2022-10-05 | |
| 3DMark Speed Way | 7,532 points | 3DMark 2023-12-25 |
Products Featuring the GeForce RTX 4080
Full Specifications
| ROPs | 112 |
|---|---|
| TMUs | 304 |
| TDP | 320 W |
| Opengl | 4.6 |
| Vulkan | 1.4 |
| Directx | 12 Ultimate (12_2) |
| Foundry | TSMC |
| Outputs | 1x HDMI 2.1 3x DisplayPort 1.4a |
| VRAM | 16 GB |
| GPU chip | AD103 |
| L2 cache | 64 MB |
| RT cores | 76 |
| Sm count | 76 |
| Bandwidth | 716.8 GB/s |
| Memory type | GDDR6X |
| CUDA cores | 9728 |
| Generation | GeForce 40 |
| Process | 5 nm |
| GPU variant | AD103-300-A1 |
| Spec source | TechPowerUp GPU Database |
GeForce RTX 4080 — Frequently Asked Questions
What is the GeForce RTX 4080 best used for?
Where do the GeForce RTX 4080 benchmark numbers come from?
Can the GeForce RTX 4080 run local LLMs?
Where can I buy the GeForce RTX 4080?
Buying guides that rank the GeForce RTX 4080'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 4080
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- gpt-oss on a 12GB GPU: 2026 Community Consensus (RTX 3060)
- RTX 3060 12GB Local LLM: Reddit Consensus on What Runs (2026)
- Used RTX 3090 vs New GPU for Local LLMs: 2026 Reddit Consensus
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