GeForce RTX 4060 Ti 16GB
NVIDIA · Consumer GPU · 2023
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Price checked Jul 23, 2026
Performance Benchmarks
Image Generation all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
| SDXL Turbo FP16 | images per minute |
28
img/min
ComfyUI · 2025-06-01
|
Independent benchmark TechPowerUp GPU Reviews ↗ |
LLM Inference all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
|
Llama-3-8B
Q4 16GB VRAM — EST pending article-level Llama-3.1-8B verification; verified Qwen3-8B @16K row exists (34.31 tok/s) — editorial estimate pending article-level source verification |
tokens per second |
95
tok/s
est llama.cpp · 2025-06-01
|
Estimated TechPowerUp GPU Reviews ↗ |
|
Qwen3-8B
Q4_K_XL Token generation: 16K context, batch 1, Ubuntu 24.04, on-hardware lab measurement |
tokens per second |
34.3
tok/s
llama.cpp llama-bench, CUDA 12.8 · 2025-12-09
|
Unverified community Hardware Corner LLM GPU Rankings ↗ |
Full Specifications
Related GPUs
Common Questions
Can the GeForce RTX 4060 Ti 16GB run local LLMs?
Yes, if the model fits in its 16 GB of memory — VRAM capacity decides which models load at all, while its 288 GB/s of bandwidth decides how fast tokens generate. 8B-class models at Q4 quantization fit comfortably; larger 70B-class models need a card with more VRAM.
How much VRAM does the GeForce RTX 4060 Ti 16GB have?
GeForce RTX 4060 Ti 16GB has 16 GB of video memory with 288 GB/s of memory bandwidth and a 160 W TDP , per the specification values in our hardware database.
Is the GeForce RTX 4060 Ti 16GB worth it for AI workloads?
At a $499 MSRP, its value depends on whether your models fit in 16 GB. Compare its VRAM and bandwidth against your target models with our VRAM calculator, or see how it stacks up in head-to-head comparisons.
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