NVIDIA GeForce RTX 4060 Ti 16GB — Benchmarks & Specs
Short answer: the NVIDIA GeForce RTX 4060 Ti 16GB generates a median 48.2 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 7 cited runs from llama.cpp GitHub Discussions, Kunal Ganglani LLM Benchmarks, LocalScore and Hardware Corner. 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).
- Median speed 48.2 tok/s 7 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
Bottom line: how fast is the GeForce RTX 4060 Ti 16GB?
SpecPicks median: 48.2 tokens/sec across 7 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 25.5–64.0 tok/s), from llama.cpp GitHub Discussions, Kunal Ganglani LLM Benchmarks, LocalScore (2 runs), Hardware Corner (3 runs). At 1440p High, the GeForce RTX 4060 Ti 16GB averages 61 fps in Dying Light 2, per Gamers Nexus. For local LLM inference it generates 25.6 tokens/sec running qwen2.5:14b at q4_K_M under llama.cpp, per LocalScore. In 3DMark Fire Strike it scores 31,146 points, per Notebookcheck. 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 63.2 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. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
Read the full comparison → RTX 3060 12GB vs RTX 4060 Ti 16GB for Qwen2.5-Coder 14B (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 4060 Ti 16GB'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 4060 Ti 16GB? → · Full Will-It-Run matrix
The GeForce RTX 4060 Ti 16GB is a graphics card from the Ada Lovelace family from NVIDIA. Key on-paper specs include 16 GB of VRAM. It launched with a $499 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, 12 synthetic benchmark results (top 10 shown), 18 community AI inference reports (top 13 shown), 45 game frame-rate results (top 15 shown), compiled from LocalScore, The FPS Review, Hardware Corner, Gamers Nexus, 3DMark, Hyper Cyber, Notebookcheck, Kunal Ganglani LLM Benchmarks, llama.cpp GitHub Discussions, Tom's Hardware, DatabaseMart, PassMark, Smeltcore, WorthPlaying; each table row links to its source. Read this page when shopping the GeForce RTX 4060 Ti 16GB, 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 |
|---|---|---|---|---|---|---|
| Apex Legends | 1080p | High | 195 fps | — | Hyper Cyber 2025-07-31 | |
| Chernobylite Enhanced Edition | 1080p | Maximum | 150 fps | — | The FPS Review 2024-03-14 | |
| Final Fantasy XIV: Dawntrail | 1080p | Maximum | 133 fps | — | Gamers Nexus 2025-04-16 | |
| Assassin's Creed Mirage | 1080p | Ultra High | 120 fps | — | The FPS Review 2024-03-14 | |
| Spider-Man Remastered | 1440p | Very High | 109 fps | — | Hyper Cyber 2025-07-31 | |
| Cyberpunk 2077 | 1080p | Ultra | 104 fps | — | Hyper Cyber 2025-07-31 | |
| Cyberpunk 2077 | 1080p | Ultra | 104 fps | — | Tom's Hardware 2026-06-11 | |
| Final Fantasy XIV: Dawntrail | 1440p | Maximum | 104 fps | — | Gamers Nexus 2025-04-16 | |
| Chernobylite Enhanced Edition | 1440p | Maximum | 100 fps | — | The FPS Review 2024-03-14 | |
| Tom's Hardware GPU Hierarchy rasterization suite (geomean of the test games) | 1080p | Ultra | 89 fps | — | Tom's Hardware 2026-06-24 | |
| Assassin's Creed Mirage | 1440p | Ultra High | 87 fps | — | The FPS Review 2024-03-14 | |
| Forspoken | 1080p | Ultra High | 86 fps | — | The FPS Review 2024-03-14 | |
| Returnal | 1080p | Epic RT on | 84 fps | — | The FPS Review 2024-03-14 | |
| Returnal | 1440p | Epic | 75 fps | — | The FPS Review 2024-03-14 | |
| Dying Light 2 | 1440p | High | 61 fps | — | Gamers Nexus 2025-04-16 |
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 |
|---|---|---|---|---|---|
| llama3.2:1b-instruct | q4_K_M llama.cpp | 210.6 tok/s | — | LocalScore retrieved 2026-09-25 | |
| llama3.2:1b | q4_K_M llama.cpp | 209.0 tok/s | — | LocalScore retrieved 2026-08-20 | |
| llama2:7b | q4_0 llama.cpp | 64.0 tok/s | — | llama.cpp GitHub Discussions 2024-03 | |
| gpt-oss:20b | MXFP4 llama.cpp | 63.2 tok/s | — | Hardware Corner 2026-03 | |
| llama3.1:8b | q4_K_M llama.cpp | 50.0 tok/s | — | Kunal Ganglani LLM Benchmarks 2025-01 | |
| llama3.1:8b-instruct | q4_K_M llama.cpp | 48.3 tok/s | — | LocalScore retrieved 2026-09-25 | |
| llama3.1:8b | q4_K_M llama.cpp | 48.2 tok/s | — | LocalScore retrieved 2026-08-20 | |
| qwen3:8b | q4_K_M llama.cpp | 45.8 tok/s | — | Hardware Corner 2026-03 | |
| qwen3:8b | q4_K_XL llama.cpp 16K context | 34.3 tok/s | — | hardware-corner.net 2025-12-09 | |
| qwen3:14b | q4_K_M llama.cpp | 27.4 tok/s | — | Hardware Corner 2026-03 | |
| qwen3:14b | q4_K_M llama.cpp | 27.4 tok/s | 16.0 GB | Smeltcore 2026-06-27 | |
| qwen2.5:14b | q4_K_M llama.cpp | 25.6 tok/s | — | LocalScore retrieved 2026-08-20 | |
| qwen3:8b | q4_K_XL llama.cpp 32K context | 25.5 tok/s | — | hardware-corner.net 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 |
|---|---|---|---|
| 3DMark Fire Strike | 31,146 points | Notebookcheck retrieved 2026-06-11 | |
| PassMark G3D Mark | 22,641 pts | PassMark retrieved 2026-04-20 | |
| 3DMark Time Spy | 13,610 points | 3DMark 2023-08 | |
| 3DMark Time Spy | 13,605 points | Notebookcheck retrieved 2026-07-11 | |
| 3DMark Port Royal | 8,726 points | 3DMark 2024-09-20 | |
| 3DMark Port Royal | 8,091 points | DatabaseMart 2026-08-03 | |
| 3DMark Port Royal137329 hardware review | 8,049 points | WorthPlaying 2023-05-23 | |
| 3DMark Speed Way | 3,158 points | Notebookcheck retrieved 2026-06-11 | |
| 3DMark Steel Nomad | 2,911 points | UL Benchmarks (3DMark) 2026-05-06 | |
| 3DMark Steel Nomad (DX12) Graphics Score | 2,905 points | 3DMark 2026-09-25 |
Products Featuring the GeForce RTX 4060 Ti 16GB
Systems with the GeForce RTX 4060 Ti 16GB
Laptops and desktops that ship with the GeForce RTX 4060 Ti 16GB — whole systems, listed separately from the part itself.
Full Specifications
| VRAM | 16 GB |
|---|
GeForce RTX 4060 Ti 16GB — Frequently Asked Questions
What is the GeForce RTX 4060 Ti 16GB best used for?
Where do the GeForce RTX 4060 Ti 16GB benchmark numbers come from?
Can the GeForce RTX 4060 Ti 16GB run local LLMs?
Where can I buy the GeForce RTX 4060 Ti 16GB?
Buying guides that rank the GeForce RTX 4060 Ti 16GB'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 4060 Ti 16GB
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