Consumer GPUNVIDIA

NVIDIA GeForce RTX 5060 Ti 8GB

Curated Aggregate·2026-04-122 workloads · 3 records
MyAI Rating8.6tok/s · Phi-3 Mini

VRAM

8 GB

TDP

165 W

MSRP

$379

Perf/W

0.35 tok/s/W

Cost/1K tok

$0.07/M

Tested

2026-04-12

Quick answer

How fast is NVIDIA GeForce RTX 5060 Ti 8GB for local AI workloads?

NVIDIA GeForce RTX 5060 Ti 8GB hits 158.0 tok/s on Phi-3 Mini, its strongest benchmarked workload (batch 1, 4096-token context, 8GB VRAM, 180W TDP). It has 3 records across 2 workloads in our database, with a MyAI Rating of 8.6/10. Llama 3 70B Q4 needs ~40GB VRAM, so check the VRAM column before assuming feasibility.

Source: MyAIHardware benchmark database (bench-x3-rtx5060ti8-phi3)As of 2025-04-22

Overview

Entry 8GB

NVIDIA GeForce RTX 5060 Ti 8GB — Blackwell entry-level SKU. 8GB GDDR7, 180W TDP. The lower-VRAM variant of the 5060 Ti at $379.

AI Usefulness

8GB VRAM limits to 7B Q4 at ~50-60 tok/s. Sufficient for basic LLM use and small coding models. The 16GB variant at $120 more is dramatically better for AI — the 8GB SKU is primarily a gaming card. Only consider for AI if budget is extreme and you only need 3-7B models.

Verdict

NVIDIA GeForce RTX 5060 Ti 8GB with 8GB VRAM at 165W TDP, scored across 2 workloads with 3 benchmark records.

Best workload

Phi-3 Mini

158 tok/s

Quantization

Q4_K_M

4K context · batch 1

LLM Inference Performance

04080120160Llama 38B Q4Phi-3 Mini

Benchmarks (2 workloads)

WorkloadScoreQuantContextσStatusTested
Llama 3 8B Q4

llm

58.0tok/sQ4_K_M2K, Curated Aggregate2026-04-12
Phi-3 Mini

llm

158.0tok/sQ4_K_M4K, Curated Aggregate2025-04-22

MyAI Score

Flagship
8.6/10

NVIDIA GeForce RTX 5060 Ti 8GB clears a 8.6/10 based on workload-normalized throughput, memory headroom, efficiency, value, trust, and coverage.

Throughput
311
Capability
109
Efficiency
68
Value
54
Trust
52
Coverage
15
Composite benchmark609 / 1000

Workload Fit

What models fit this 8GB card at different quantization levels.

Q4
Q8
FP16
7-8B
Excellent
Tight
Won't fit
13-14B
Tight
Won't fit
Won't fit
32B
Won't fit
Won't fit
Won't fit
70B
Won't fit
Won't fit
Won't fit
Top Benchmarks
Phi-3 Mini158 tok/s
Llama 3 8B Q458 tok/s

Source

Blackwell 8GB Ti.

View sourceHow we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

8.6

Runs

1

Freshness

Stale

Source-linked row with explicit verification status.

Tested on 2025-04-22; 492 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 $379 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.