Consumer GPUNVIDIA

NVIDIA GeForce RTX 5060 Ti 16GB

Name: NVIDIA GeForce RTX 5060 Ti 16GB
Brand: NVIDIA
SKU: rtx-5060-ti-16gb
Price: 449 USD
Availability: InStock
Rating: 8.5 (6 reviews)

Curated Aggregate·2026-04-105 workloads · 6 records

MyAI Rating8.5tok/s · Phi-3 Mini

VRAM

16 GB

TDP

180 W

MSRP

$449

Perf/W

0.40 tok/s/W

Cost/1K tok

$0.07/M

Tested

2026-04-10

Quick answer

How fast is NVIDIA GeForce RTX 5060 Ti 16GB for local AI workloads?

NVIDIA GeForce RTX 5060 Ti 16GB hits 132.0 tok/s on Phi-3 Mini, its strongest benchmarked workload (batch 1, 4096-token context, 16GB VRAM, 180W TDP). It has 6 records across 5 workloads in our database, with a MyAI Rating of 8.5/10. Llama 3 70B Q4 needs ~40GB VRAM, so check the VRAM column before assuming feasibility.

Overview

Budget 16GB Blackwell

NVIDIA GeForce RTX 5060 Ti 16GB — Blackwell entry-level card with generous VRAM. 16GB GDDR7 at ~448 GB/s, 180W TDP. Blackwell architecture with FP4 support at $499.

AI Usefulness

16GB VRAM at $499 is the most accessible 16GB Blackwell card. Runs 13B Q4 comfortably, 32B Q4 with aggressive offload. ~42 tok/s on 12B Q4. Best for: budget AI builds where 16GB VRAM is the priority, small coding agents, and entry-level local AI experimentation. The VRAM capacity is the standout feature at this price — compute is modest.

Verdict

NVIDIA GeForce RTX 5060 Ti 16GB with 16GB VRAM at 180W TDP, scored across 5 workloads with 6 benchmark records.

Best workload

Phi-3 Mini

132 tok/s

Quantization

Q4_K_M

4K context · batch 1

LLM Inference Performance

Benchmarks (5 workloads)

Workload	Score	Quant	Context	σ	Status	Tested
Llama 3 8B Q4 llm	72.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2026-04-10
Mistral 7B llm	74.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2025-04-20
DeepSeek-R1 7B llm	62.0tok/s	Q4_K_M	8K	,	Curated Aggregate	2026-04-18
Phi-3 Mini llm	132.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2026-04-22
Gemma 2 9B llm	62.0tok/s	Q4_K_M	8K	,	Curated Aggregate	2025-04-26

MyAI Score

Flagship

8.5/10

NVIDIA GeForce RTX 5060 Ti 16GB clears a 8.5/10 based on workload-normalized throughput, memory headroom, efficiency, value, trust, and coverage.

Throughput

275

Capability

129

Efficiency

Value

Trust

Coverage

Composite benchmark597 / 1000

Workload Fit

What models fit this 16GB card at different quantization levels.

FP16

7-8B

Excellent

Tight

13-14B

Excellent

Good

Won't fit

32B

Tight

Won't fit

70B

Won't fit

Top Benchmarks

Phi-3 Mini132 tok/s

Mistral 7B74 tok/s

Llama 3 8B Q472 tok/s

Source

Best $/tok in the 50-series.

View source How we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

8.5

Runs

Freshness

Aging

Source-linked row with explicit verification status.

Tested on 2026-04-22; 127 days old.

Open primary source

Best place to start

Where to buy

Search first

Retailer we'd check first

Amazon search

For mainstream AI hardware, Amazon usually updates street pricing, seller availability, and shipping speed faster than most comparison sites.

Search Amazon listings

+Use $449 as your price anchor unless the part is clearly supply-constrained or newly launched.
+Check the exact cooler, board partner, or memory configuration before buying. The silicon may match, but noise and thermals do not.
+If the Amazon price looks inflated, wait or compare against recent street pricing rather than paying a panic premium.

This is a strong buy when the listing stays close to reference pricing and matches the workload you actually run.

Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.