NVIDIA GeForce RTX 4080 SUPER — Benchmarks & Specs
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.
- Median speed 102 tok/s 5 cited runs, 7-9B at Q4, llama.cpp
- Fits in 16 GB up to gpt-oss-20b at MXFP4 → at ~8K context; 14 of 23 models in the Will-It-Run matrix
- Lowest linked price $1,644.05 Amazon, checked ; prices change
- Value Index 62.0 tok/s per $1,000 median speed ÷ the price above
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.
| 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.
| 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.
| 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
| TDP | 320 W |
|---|---|
| VRAM | 16 GB |
| Memory type | GDDR6X |
| CUDA cores | 10240 |
NVIDIA GeForce RTX 4080 SUPER — Frequently Asked Questions
What is the NVIDIA GeForce RTX 4080 SUPER best used for?
When was the NVIDIA GeForce RTX 4080 SUPER released, and what was its launch MSRP?
Where do the NVIDIA GeForce RTX 4080 SUPER benchmark numbers come from?
Can the NVIDIA GeForce RTX 4080 SUPER run local LLMs?
Where can I buy the NVIDIA GeForce RTX 4080 SUPER?
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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