NVIDIA GeForce GTX 1660 — Benchmarks & Specs
Amazon listing: $184.97
*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?
At 1440p Ultra, the NVIDIA GeForce GTX 1660 averages 60 fps in Grand Theft Auto V, per Gamers Nexus. For local LLM inference it generates 41.4 tokens/sec running llama2:7b at q4_0 under llama.cpp, per llama.cpp GitHub Discussion #15013. In 3DMark Fire Strike it scores 12,365 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 is a graphics card from the Turing family released in 2019 from NVIDIA. Key on-paper specs include 6 GB of GDDR5 VRAM, 120W TDP. It launched with a $219 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 5 linked listings, 10 synthetic benchmark results, 15 community AI inference reports (top 12 shown), 43 game frame-rate results (top 15 shown), compiled from Gamers Nexus, CpuTronic, DatabaseMart, AskGeek, 3DMark, LocalLLaMA, PassMark, knightli.com, llama.cpp GitHub Discussion #15013, Notebookcheck, TechSpot, TopCPU.net, UL Benchmarks; each table row links to its source. Read this page when shopping the NVIDIA GeForce GTX 1660, 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 |
|---|---|---|---|---|---|---|
| Grand Theft Auto V | 1080p | High | 153 fps | — | CpuTronic 2026-08-13 | |
| Strange Brigade | 1440p | Ultra | 109 fps | 90 fps | TechSpot 2019-04-15 | |
| The Witcher 3: Wild Hunt | 1080p | High | 102 fps | — | Notebookcheck 2026-06-09 | |
| Battlefield V | 1080p | Ultra | 93 fps | — | CpuTronic 2026-08-13 | |
| F1 2018 | 1080p | Ultra | 92 fps | 50 fps | Gamers Nexus 2019-03-14 | |
| Apex Legends | 1080p | High | 90 fps | — | Gamers Nexus 2019-03-14 | |
| Diablo IV | 1080p | Ultra | 89 fps | — | AskGeek 2026-07-10 | |
| Resident Evil Village | 1080p | Ultra | 87 fps | — | AskGeek 2026-07-10 | |
| Grand Theft Auto V | 1080p | Ultra | 85 fps | — | Gamers Nexus 2019-03-14 | |
| Counter-Strike 2 | 1080p | Ultra | 81 fps | — | AskGeek.io 2026-09-16 | |
| Counter-Strike 2 | 1080p | Ultra | 81 fps | — | AskGeek 2026-07-10 | |
| Far Cry 5 | 1080p | Ultra | 81 fps | — | Gamers Nexus 2019-03-14 | |
| Battlefield V | 1440p | Ultra | 74 fps | — | CpuTronic 2026-08-13 | |
| Shadow of the Tomb Raider | 1080p | Ultra | 74 fps | — | Gamers Nexus 2019-03-14 | |
| Grand Theft Auto V | 1440p | Ultra | 60 fps | — | Gamers Nexus 2019-03-14 |
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 |
|---|---|---|---|---|---|
| llama3.1:3b | Q4 llama.cpp | 180.0 tok/s | — | LocalLLaMA 2026-04-09 | |
| qwen3:0.6b | — ollama | 47.1 tok/s | — | LocalLLaMA 2026-04-15 | |
| llama2:7b | q4_0 llama.cpp | 41.4 tok/s | — | knightli.com 2026-04-23 | |
| llama2:7b | Q4_0 llama.cpp | 41.4 tok/s | — | llama.cpp GitHub CUDA Performance Discussion 2025-08-02 | |
| 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 | — | DatabaseMart Blog 2025-02-01 | |
| deepseek-r1:1.5b | q4_K_M ollama | 30.2 tok/s | — | DatabaseMart Blog 2025-02-01 | |
| qwen2.5:3b | q4_K_M ollama | 26.3 tok/s | — | DatabaseMart Blog 2025-02-01 | |
| codellama:7b | q4_K_M ollama | 21.4 tok/s | — | DatabaseMart Blog 2025-02-01 | |
| deepseek-coder:6.7b | q4_K_M ollama | 21.3 tok/s | — | DatabaseMart Blog 2025-02-01 | |
| deepseek-r1:7b | q4_K_M ollama | 18.3 tok/s | 4.7 GB | DatabaseMart 2025-01-15 | |
| qwen2.5:7b | q4_K_M ollama | 18.2 tok/s | 4.7 GB | DatabaseMart 2025-01-15 |
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 | 12,365 points | 3DMark 2019-06-01 | |
| PassMark G3D Mark | 11,659 points | AskGeek.io 2024-01-01 | |
| PassMark G3D Mark | 11,618 pts | PassMark 2026-04-20 | |
| PassMark G3D Mark | 11,614 points | PassMark Software 2026-04-27 | |
| 3DMark Time Spy | 6,533 points | 3DMark 2019-06-01 | |
| 3DMark Time Spy | 5,521 points | CpuTronic 2024-01-01 | |
| 3DMark Time Spy | 5,444 points | TopCPU.net 2026-07-01 | |
| 3DMark Steel Nomad DX12 | 1,047 points | UL Benchmarks 2024-06-01 | |
| 3DMark Steel Nomad | 1,047 points | CpuTronic 2024-01-01 | |
| PassMark G2D Mark | 776 pts | PassMark 2026-04-20 |
Products Featuring the NVIDIA GeForce GTX 1660
Systems with the NVIDIA GeForce GTX 1660
Laptops and desktops that ship with the NVIDIA GeForce GTX 1660 — whole systems, listed separately from the part itself.
Full Specifications
| tdp w | 120 |
|---|---|
| vram gb | 6 |
| vram type | GDDR5 |
| cuda cores | 1408 |
NVIDIA GeForce GTX 1660 — Frequently Asked Questions
What is the NVIDIA GeForce GTX 1660 best used for?
When was the NVIDIA GeForce GTX 1660 released, and what was its launch MSRP?
Where do the NVIDIA GeForce GTX 1660 benchmark numbers come from?
Can the NVIDIA GeForce GTX 1660 run local LLMs?
Where can I buy the NVIDIA GeForce GTX 1660?
Buying guides that rank the NVIDIA GeForce GTX 1660'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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