GeForce RTX 5060 Ti, AI & Machine Learning Benchmarks & Specs

16GB · AI Score 3.7/100 · first-party measured on 12 AI workloads

3.7 AI Score ✓ Measured

Every number on this page is first-party: GeForce RTX 5060 Ti was run on our pinned 12-workload AI suite on 2026-07-11, with under 0.5% run-to-run variance. On Llama 3.1 8B (Q4_K_M) GeForce RTX 5060 Ti delivers about 84.2 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 16GB. For image generation, SDXL runs at 2.61 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 6 of the 12 workloads won't fit on 16GB at the tested precision, Qwen3 32B, Llama 3.3 70B, FLUX.1-dev, FLUX.1 Kontext and others. We publish those as hard gates rather than quietly dropping to a smaller quant.

Bench notes: from the person who ran it

This one surprised me. 1.49 tokens/watt, ran at 90% of its power rating, and because it's the 16GB SKU it loads models that 12GB cards flat-out refuse, Z-Image and LTX video both ran. For the money, it might be the quietest smart buy in the AI lineup right now. Quick note on the setup: all my AI benchmarking was done on rented cloud GPUs, I used all three of Vast.ai, RunPod and Modal depending on which had the card, and they all have their pros and cons. Same pinned harness on every run, and everything here got double-checked before it went up.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Qwen3 4B134.96

Llama 3.1 8B84.2

Qwen2.5-Coder 14B45.06

Workload	Result	Telemetry	Data
Qwen3 4B	134.96 tok/s	2.8 GB peak91 W52°C1.49 tok/WQ4_K_M	✓ Measured
Llama 3.1 8B	84.2 tok/s	4.8 GB peak124 W57°C0.68 tok/WQ4_K_M	✓ Measured
Qwen2.5-Coder 14B	45.06 tok/s	8.5 GB peak124 W63°C0.36 tok/WQ4_K_M	✓ Measured
Qwen3 32B	✕ Won't fit needs ~23 GB	VRAM-gated at this precision	✓ Measured
Llama 3.3 70B	✕ Won't fit needs ~46 GB	VRAM-gated at this precision	✓ Measured

Image Generation images/min 3

Workload	Result	Telemetry	Data
Stable Diffusion XL	5.22 images/min	14.3 GB peak156 W70°C11.5 s/img	✓ Measured
Z-Image Turbo	1.65 images/min	14 GB peak102 W66°C35.8 s/img	✓ Measured
FLUX.1 dev	✕ Won't fit needs ~26 GB	VRAM-gated at this precision	✓ Measured

Image Editing images/min 2

Workload	Result	Telemetry	Data
FLUX.1 Kontext dev	✕ Won't fit needs ~26 GB	VRAM-gated at this precision	✓ Measured
Qwen-Image-Edit	✕ Won't fit needs ~42 GB	VRAM-gated at this precision	✓ Measured

Video Generation frames/s 2

Workload	Result	Telemetry	Data
LTX-Video (distilled)	1.97 frames/s	9.1 GB peak111 W66°C49.3 s/clip	✓ Measured
Wan 2.2 5B (720p)	✕ Won't fit needs ~18 GB	VRAM-gated at this precision	✓ Measured

How we measured this. Every result comes from our own pinned, reproducible AI suite, 12 workloads: the Qwen3-4B to Llama-70B LLM ladder (llama.cpp, Q4_K_M), SDXL / Z-Image / FLUX-dev generation, FLUX-Kontext / Qwen-Edit editing, and LTX / Wan video, run first-party on rented hardware with under 0.5% run-to-run variance. Peak VRAM, power draw, temperature and tokens-per-watt are captured per workload. “Won’t fit” rows are real data: where a model exceeds the card’s VRAM at the tested precision we record a hard gate rather than silently dropping to a smaller quant. Measured 2026-07-11 · harness 2.0.0-standalone.

GeForce RTX 5060 Ti specifications

Architecture	Blackwell
CUDA cores	4,608
VRAM	16GB GDDR7
Memory bus	128-bit
Memory bandwidth	448 GB/s
Boost clock	2,572 MHz
TDP	180 W
Process	3nm
Interface	PCIe 5.0 x16
Release date	2025-04-16
Launch MSRP	$329

Verdict, capable, but 16GB sets the ceiling

GeForce RTX 5060 Ti scores 3.7/100, #53 of 102. It ran 6 of 12; 6 exceeded its 16GB. Every figure here is our own measurement.

Relative performance: where the GeForce RTX 5060 Ti lands

100% = this card, AI & Machine Learning headline metric (AI Score). #17 of 61 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA GeForce RTX 4080	127%	4.7
GeForce RTX 5070 Ti	127%	4.7
NVIDIA RTX 4000 (Ada Generation)	119%	4.4
NVIDIA GeForce RTX 4070 Ti Super	116%	4.3
GeForce RTX 5060 Ti	100%	3.7
AMD Radeon RX 6950 XT	95%	3.5
NVIDIA GeForce RTX 3080 Ti	95%	3.5
AMD Radeon RX 9070 XT	92%	3.4
AMD Radeon RX 9070	92%	3.4

One tier up: NVIDIA GeForce RTX 4070 Ti Super (+16%) · compare head-to-head
One tier down: AMD Radeon RX 6950 XT (-5%)

Same card, other workloads: GeForce RTX 5060 Ti Gaming benchmarks

← All AI & Machine Learning GPU rankings

The silicon

Transistors	21,900 million
Die size	181 mm²
Process node	4 nm
Fabricated by	TSMC
Transistor density	121 million per mm²

Denser than 83% of the 76 cards we have silicon data for. Density is the clearest measure of what a process node bought: a card that gained it without growing the die got its speed from the fab rather than the architecture.

Silicon figures from Wikipedia (CC BY-SA 4.0). Benchmarks on this page are our own. Compare every chip.

What this card can build

Whole-job timings, composed from our measured per-model results on this card.

Workflow	Time	Energy	Basis
Full codebase review	22.2 min	45.98 Wh	measured

Can't run: 60-second AI short film (needs Qwen3 32B), 60-second AI short film, narrated (needs Qwen3 32B), 10 short social clips (needs Qwen3 32B), 40-product photo shoot (needs FLUX.1 Kontext dev), 6-panel comic page (needs Qwen3 32B), 20 long-form articles (needs Llama 3.3 70B), Character sheet, 12 poses (needs FLUX.1 dev), 100-photo restoration batch (needs FLUX.1 Kontext dev), 24-frame storyboard (needs Qwen3 32B), 100-photo restore and enlarge (needs FLUX.1 Kontext dev).