NVIDIA GeForce RTX 3080 — Benchmarks & Specs
Short answer: the NVIDIA GeForce RTX 3080 generates a median 98.7 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 11 cited runs from llama.cpp GitHub, knightli.com, XiongjieDai/GPU-Benchmarks-on-LLM-Inference, LocalScore.ai, Hardware Corner and Kunal Ganglani LLM Benchmarks. Its 10 GB of VRAM holds up to Gemma 3 12B at Q4_K_M with an ~8K context, by the Will-It-Run matrix's sizing (9 of 23 models fit). At the $759.00 Amazon price checked 15 h ago (prices change), that is 130.0 tok/s per $1,000, the SpecPicks Value Index. That ranks #9 of 29 GPUs on tok/s per $1,000 in the SpecPicks value table (table built 2026-10-21 13:12 UTC).
- Median speed 98.7 tok/s 11 cited runs, 7-9B at Q4, llama.cpp
- Fits in 10 GB up to Gemma 3 12B at Q4_K_M → at ~8K context; 9 of 23 models in the Will-It-Run matrix
- Lowest linked price $759.00 Amazon, checked ; prices change
- Value Index 130.0 tok/s per $1,000 median speed ÷ the price above
Bottom line: how fast is the NVIDIA GeForce RTX 3080?
SpecPicks median: 98.7 tokens/sec across 11 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 55.7–140 tok/s), from llama.cpp GitHub (2 runs), knightli.com, XiongjieDai/GPU-Benchmarks-on-LLM-Inference (3 runs), LocalScore.ai, Hardware Corner (3 runs), Kunal Ganglani LLM Benchmarks. At the $759.00 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 130.0 tok/s per $1,000. One of those runs: llama3:8b at q4_K_M generates 106.4 tokens/sec under llama.cpp, per XiongjieDai/GPU-Benchmarks-on-LLM-Inference. At 1440p High with DLSS Quality upscaling, the NVIDIA GeForce RTX 3080 averages 103 fps in The Finals with a 61 fps 1% low, per NoobFeed. In PassMark G3D Mark it scores 25,024 pts, per PassMark. It has 10 GB of VRAM, and the llama3:8b run above (8B parameters) is the largest model on file at 4-bit quantization on this card. A second published run of the same setup measured 109.6 tokens/sec, per XiongjieDai/GPU-Benchmarks-on-LLM-Inference again, so expect 106.4-109.6 tokens/sec. Larger models have no sourced run on file.
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: $759.00
*Price sourced from Amazon.com. Last updated 2026-10-20. Price and availability subject to change.
Read the full comparison → RTX 3080 vs RTX 5080 — is it time to upgrade?
Check what fits in 10 GB: by Q4-class file size, 9 of the 23 open-weight models in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA GeForce RTX 3080's 10 GB with 1.5 GB left for an ~8K context, up to Gemma 3 12B (a 7.3 GB Q4_K_M file per its Hugging Face listing). Check a model in the Will-It-Run matrix →
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 listings. Data on this page draws on 10 linked listings, 21 synthetic benchmark results (top 10 shown), 14 community AI inference reports (top 13 shown), 60 measured game frame-rate results (top 15 shown), compiled from Gamers Nexus, XiongjieDai/GPU-Benchmarks-on-LLM-Inference, NoobFeed, Hardware Corner, Wccftech, 3DMark, knightli.com, Kunal Ganglani LLM Benchmarks, llama.cpp GitHub, LocalScore.ai, Moor Insights & Strategy, Tom's Hardware, GPU Battle, PassMark; each table row links to its source. 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, 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 |
|---|---|---|---|---|---|---|
| Rainbow Six Siege | 4K | Ultra | 179 fps | — | Gamers Nexus 2020-09-16 | |
| Tom's Hardware 8-game geomean (Borderlands 3, Far Cry 6, Flight Simulator, Forza Horizon 5, Horizon Zero Dawn, RDR2, Total War Warhammer 3, Watch Dogs Legion) | 1080p | Medium | 168 fps | — | Tom's Hardware (GPU Benchmarks Hierarchy) 2026-06-24 | |
| Fortnite | 1080p | High DLSS Quality | 163 fps | 83 fps | NoobFeed 2026-01-24 | |
| 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 | RTX On RT on DLSS Quality | 130 fps | — | Gamers Nexus 2020-09-16 | |
| Atomic Heart | 1440p | Atomic | 130 fps | 88 fps | GPU Battle 2023-07 | |
| 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 | 127 fps | — | Gamers Nexus 2020-09-16 | |
| Red Dead Redemption 2 | 1440p | High Custom | 127 fps | — | Gamers Nexus 2020-09-16 | |
| Tom's Hardware 8-game geomean (Borderlands 3, Far Cry 6, Flight Simulator, Forza Horizon 5, Horizon Zero Dawn, RDR2, Total War Warhammer 3, Watch Dogs Legion) | 1080p | Ultra | 117 fps | — | Tom's Hardware (GPU Benchmarks Hierarchy) 2026-06-24 | |
| Call of Duty: Warzone | 1440p | High | 111 fps | 45 fps | NoobFeed 2026-01-24 | |
| The Finals | 1440p | High DLSS Quality | 103 fps | 61 fps | NoobFeed 2026-01-24 |
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 | 139.7 tok/s | — | llama.cpp GitHub Discussion #15013 2024-10 | |
| 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 | |
| llama2:7b | Q4_0 llama.cpp | 131.0 tok/s | 3.6 GB | llama.cpp GitHub (Vulkan performance discussion) 2024-12-18 | |
| llama3:8b | q4_K_M llama.cpp 512 context | 109.6 tok/s | — | XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05 | |
| llama3:8b | q4_K_M llama.cpp 1K context | 106.4 tok/s | — | XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05 | |
| llama3:8b | q4_K_M llama.cpp 4K context | 98.7 tok/s | — | XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05 | |
| llama3.1:8b | q4_K_M llama.cpp | 79.2 tok/s | — | LocalScore.ai retrieved 2026-06-09 | |
| 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 | — | Kunal Ganglani LLM Benchmarks 2024-01 | |
| llama2:7b | Q4_0 llama.cpp (Vulkan) | 62.2 tok/s | 3.6 GB | llama.cpp GitHub (Vulkan performance discussion) 2024-12-18 | |
| qwen3:8b | q4_K_XL llama.cpp | 55.7 tok/s | — | Hardware Corner GPU LLM Ranking 2025-12-09 |
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 |
|---|---|---|---|
| PassMark G3D Mark | 25,024 pts | PassMark retrieved 2026-04-20 | |
| 3DMark Fire Strike Extreme (graphics score) | 21,100 points | Wccftech 2023-06-28 | |
| 3DMark Time Spy | 18,681 points | 3DMark 2022-12 | |
| 3DMark Time Spy (graphics score) | 17,800 points | Wccftech 2023-06-28 | |
| 3DMark Time Spy | 15,477 points | 3DMark (UL Benchmarks) 2021-06 | |
| 3DMark Time Spy | 15,065 points | Moor Insights & Strategy 2020-10-10 | |
| 3DMark Port Royal | 12,742 points | 3DMark (UL Benchmarks) 2022-06 | |
| 3DMark Port Royal | 12,619 points | 3DMark 2020-12-13 | |
| 3DMark Port Royal | 11,300 points | Wccftech 2023-06-28 | |
| 3DMark Port Royal | 10,700 points | Moor Insights & Strategy 2020-10-10 |
Products Featuring the NVIDIA GeForce RTX 3080
Systems with the NVIDIA GeForce RTX 3080
Laptops and desktops that ship with the NVIDIA GeForce RTX 3080 — whole systems, listed separately from the part itself.
Full Specifications
| TDP | 320 W |
|---|---|
| VRAM | 10 GB |
| Memory type | GDDR6X |
| CUDA cores | 8704 |
NVIDIA GeForce RTX 3080 — Frequently Asked Questions
What is the NVIDIA GeForce RTX 3080 best used for?
When was the NVIDIA GeForce RTX 3080 released, and what was its launch MSRP?
Where do the NVIDIA GeForce RTX 3080 benchmark numbers come from?
Can the NVIDIA GeForce RTX 3080 run local LLMs?
Where can I buy the NVIDIA GeForce RTX 3080?
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.
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