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GeForce RTX 4060 Ti 16GB
NVIDIA · GPU · Ada Lovelace

NVIDIA GeForce RTX 4060 Ti 16GB — Benchmarks & Specs

16 GB VRAM$499 MSRP

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).

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.

Gaming frame rates for the GeForce RTX 4060 Ti 16GB by game, resolution, and quality preset. Rows from aggregator sites are estimates, not measured runs, dated by when SpecPicks fetched them. “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
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.

Local LLM inference throughput on the GeForce RTX 4060 Ti 16GB, in generated tokens per second for a single request (one user's generation speed). Higher is better; each row links to the community report or benchmark database it came from.
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.

Synthetic benchmark scores for the GeForce RTX 4060 Ti 16GB — higher is better. Each row links to the public database the number was taken from. A benchmark listed more than once is separate published results, shown as published rather than averaged.
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

VRAM16 GB

GeForce RTX 4060 Ti 16GB — Frequently Asked Questions

What is the GeForce RTX 4060 Ti 16GB best used for?
GeForce RTX 4060 Ti 16GB is a 16 GB VRAM Ada Lovelace-family graphics card. 1440p/4K gaming and mid-tier AI workloads are the headline use cases; the benchmark tables on this page place it within its generation.
Where do the GeForce RTX 4060 Ti 16GB benchmark numbers come from?
Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.
Can the GeForce RTX 4060 Ti 16GB run local LLMs?
Yes — AI inference results for the GeForce RTX 4060 Ti 16GB are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. 16 GB VRAM fits 13-17B-parameter models at Q4.
Where can I buy the GeForce RTX 4060 Ti 16GB?
Amazon listings for the GeForce RTX 4060 Ti 16GB are linked at the top of this page and in the Products Featuring the GeForce RTX 4060 Ti 16GB section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

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

In-depth SpecPicks reviews, build guides, and head-to-heads referencing this graphics card.

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GeForce RTX 4060 Ti 16GB
GeForce RTX 4060 Ti 16GB
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