NVIDIA GeForce GTX 1660 Ti — Benchmarks & Specs
Amazon listing: $179.97
*Price sourced from Amazon.com. Last updated 2026-10-06. Price and availability subject to change.
Bottom line: how fast is the NVIDIA GeForce GTX 1660 Ti?
At 1440p High, the NVIDIA GeForce GTX 1660 Ti averages 63 fps in Battlefield V, per Modders Inc. For local LLM inference it generates 41.4 tokens/sec running llama2:7b at Q4_0 under llama.cpp, per llama.cpp GitHub Discussions. In 3DMark Fire Strike it scores 14,633 points, per 3DMark. Its 6 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is llama3.1:8b (8B parameters, q4_K_M), generating 16.7 tokens/sec under ollama, per DatabaseMart.
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. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
The NVIDIA GeForce GTX 1660 Ti is a graphics card from the Turing family released in 2019 from NVIDIA. Key on-paper specs include 6 GB of GDDR6 VRAM, 120W TDP. It launched with a $279 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 3 linked listings, 15 synthetic benchmark results (top 10 shown), 11 community AI inference reports, 59 measured game frame-rate results (top 15 shown), compiled from DatabaseMart, Gamers Nexus, Legit Reviews, Modders Inc, Notebookcheck, LocalLLaMA, 3DMark, llama.cpp GitHub Discussions, PassMark, PCGamesN, TechSpot, topcpu.net; each table row links to its source. Read this page when shopping the NVIDIA GeForce GTX 1660 Ti, 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 |
|---|---|---|---|---|---|---|
| PUBG | 1080p | Medium | 158 fps | 85 fps | Legit Reviews 2019-03-04 | |
| Doom (2016) | 1080p | Ultra | 140 fps | — | Notebookcheck 2019-05-09 | |
| Sniper Elite 4 | 1080p | Ultra | 126 fps | — | Gamers Nexus 2019-02-22 | |
| Overwatch | 1080p | Ultra | 122 fps | 95 fps | Legit Reviews 2019-03-04 | |
| Apex Legends | 1080p | Ultra | 108 fps | 64 fps | Legit Reviews 2019-03-04 | |
| Resident Evil 2 | 1080p | High | 108 fps | — | TechSpot 2019-02-22 | |
| PUBG | 1440p | Medium | 105 fps | 64 fps | Legit Reviews 2019-03-04 | |
| F1 2018 | 1080p | High | 104 fps | — | Gamers Nexus 2019-02-22 | |
| F1 2018 | 1080p | Ultra High | 104 fps | — | Gamers Nexus 2019-02-22 | |
| F1 2018 | 1080p | Ultra | 104 fps | — | Gamers Nexus 2019-02-22 | |
| Overwatch | 1440p | Ultra | 97 fps | 70 fps | Legit Reviews 2019-03-04 | |
| Battlefield V | 1080p | High | 96 fps | — | Modders Inc 2023-03-31 | |
| GTA V | 1080p | Very High | 95 fps | — | Gamers Nexus 2019-02-22 | |
| GTA V | 1080p | High | 95 fps | — | Gamers Nexus 2019-02-22 | |
| Battlefield V | 1440p | High | 63 fps | — | Modders Inc 2023-03-31 |
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 | 56.6 tok/s | — | llama.cpp GitHub Discussions #10879 2025-08-22 | |
| qwen3:0.6b | — ollama | 47.1 tok/s | — | LocalLLaMA 2026-04-15 | |
| llama2:7b | q4_0 llama.cpp | 41.4 tok/s | — | llama.cpp GitHub Discussions 2024-01-01 | |
| mistral:7b | q4_K_M ollama | 40.2 tok/s | 4.1 GB | DatabaseMart 2025-01-15 | |
| llama3.2:3b | q4_K_M ollama | 38.4 tok/s | 2.0 GB | DatabaseMart 2025-01-15 | |
| deepseek-r1:1.5b | q4_K_M ollama | 30.2 tok/s | 1.1 GB | DatabaseMart 2025-01-15 | |
| qwen2.5:3b | q4_K_M ollama | 26.3 tok/s | 1.9 GB | DatabaseMart 2025-01-15 | |
| deepseek-r1:7b | q4_0 ollama | 18.3 tok/s | — | DatabaseMart 2026-08-03 | |
| qwen2.5:7b | q4_K_M ollama | 18.2 tok/s | 4.7 GB | DatabaseMart 2025-01-15 | |
| llama3.1:8b | q4_K_M ollama | 16.7 tok/s | 4.9 GB | DatabaseMart 2025-01-15 | |
| llama3:5b | Q4 llama.cpp | 8.0 tok/s | — | LocalLLaMA 2026-03-08 |
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 | 14,633 points | 3DMark 2019-11-30 | |
| 3DMark Fire Strike | 14,193 points | Notebookcheck 2019-04-27 | |
| PassMark G3D Mark | 12,647 pts | PassMark 2026-04-20 | |
| PassMark G3D Mark | 12,615 points | PassMark VideoCardBenchmark 2026-06-09 | |
| PassMark G3D Mark | 12,571 points | PassMark Software 2026-09-01 | |
| 3DMark Time Spy | 6,346 points | topcpu.net (aggregated 3DMark submissions) 2026-09-01 | |
| 3DMark Time Spy | 6,314 points | Legit Reviews 2019-03-04 | |
| 3DMark Time Spy | 6,235 points | PCGamesN 2019-02-19 | |
| 3DMark Time Spy | 5,408 points | Notebookcheck 2019-04-27 | |
| 3DMark Fire Strike Ultra | 3,368 points | Modders Inc 2023-03-31 |
Products Featuring the NVIDIA GeForce GTX 1660 Ti
Systems with the NVIDIA GeForce GTX 1660 Ti
Laptops and desktops that ship with the NVIDIA GeForce GTX 1660 Ti — whole systems, listed separately from the part itself.
Full Specifications
| tdp w | 120 |
|---|---|
| vram gb | 6 |
| vram type | GDDR6 |
| cuda cores | 1536 |
NVIDIA GeForce GTX 1660 Ti — Frequently Asked Questions
What is the NVIDIA GeForce GTX 1660 Ti best used for?
When was the NVIDIA GeForce GTX 1660 Ti released, and what was its launch MSRP?
Where do the NVIDIA GeForce GTX 1660 Ti benchmark numbers come from?
Can the NVIDIA GeForce GTX 1660 Ti run local LLMs?
Where can I buy the NVIDIA GeForce GTX 1660 Ti?
Buying guides that rank the NVIDIA GeForce GTX 1660 Ti'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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