Consumer GPUNVIDIA

NVIDIA GeForce RTX 5070 Ti 16GB

Curated Aggregate·2026-02-208 workloads · 9 records
MyAI Rating9.0emb/s · Embedding throughput

VRAM

16 GB

TDP

300 W

MSRP

$749

Perf/W

0.43 emb/s/W

Cost/1K tok

$0.06/M

Tested

2026-02-20

Quick answer

How fast is NVIDIA GeForce RTX 5070 Ti 16GB for local AI workloads?

NVIDIA GeForce RTX 5070 Ti 16GB hits 7100.0 emb/s on Embedding throughput, its strongest benchmarked workload (batch 1, 512-token context, 16GB VRAM, 300W TDP). It has 9 records across 8 workloads in our database, with a MyAI Rating of 9.0/10. Llama 3 70B Q4 needs ~40GB VRAM, so check the VRAM column before assuming feasibility.

Source: MyAIHardware benchmark database (bench-x3-rtx5070ti-embed)As of 2025-04-03

Overview

Midrange Sweet Spot

NVIDIA GeForce RTX 5070 Ti 16GB — Blackwell midrange with 16GB GDDR7 at ~896 GB/s, 300W TDP. Brings Blackwell architecture to the $749 price point with FP4 support.

AI Usefulness

16GB VRAM comfortably runs 13B Q4, 32B Q4 with tight context. Blackwell compute + 16GB makes this the new midrange AI sweet spot below the 5080. FP4 future-proofing is a nice-to-have as engine support matures. Best value Blackwell card for AI — the 5080's extra $250 buys you higher bandwidth but the same 16GB VRAM.

Verdict

NVIDIA GeForce RTX 5070 Ti 16GB with 16GB VRAM at 300W TDP, scored across 8 workloads with 9 benchmark records.

Best workload

Embedding throughput

7100 emb/s

Quantization

FP16

1K context · batch 1

LLM Inference Performance

03570105140Llama 38B Q4DeepSeek-R17BQwen 2.514BMistral 7BGemma 29BAsure 12B

Benchmarks (8 workloads)

WorkloadScoreQuantContextσStatusTested
Llama 3 8B Q4

llm

128.0tok/sQ4_K_M4K, Curated Aggregate2026-02-20
DeepSeek-R1 7B

llm

108.0tok/sQ4_K_M8K, Curated Aggregate2026-02-25
Qwen 2.5 14B

llm

65.0tok/sQ4_K_M8K, Curated Aggregate2026-03-01
SDXL image gen

image

14.0img/minFP16, , Curated Aggregate2026-03-04
Mistral 7B

llm

108.0tok/sQ4_K_M4K, Curated Aggregate2025-02-28
Gemma 2 9B

llm

92.0tok/sQ4_K_M8K, Curated Aggregate2025-03-22
Embedding throughput

embedding

7100.0emb/sFP161K, Curated Aggregate2025-04-03
Asure 12B

llm

63.0tok/sQ4_K_M8K±3.1Curated Aggregate2025-05-01

MyAI Score

Reference
9.0/10

NVIDIA GeForce RTX 5070 Ti 16GB clears a 9.0/10 based on workload-normalized throughput, memory headroom, efficiency, value, trust, and coverage.

Throughput
298
Capability
129
Efficiency
53
Value
75
Trust
51
Coverage
55
Composite benchmark661 / 1000

Workload Fit

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

Q4
Q8
FP16
7-8B
Excellent
Excellent
Tight
13-14B
Excellent
Good
Won't fit
32B
Tight
Won't fit
Won't fit
70B
Won't fit
Won't fit
Won't fit
Top Benchmarks
Embedding throughput7100 emb/s
Llama 3 8B Q4128 tok/s
DeepSeek-R1 7B108 tok/s

Public Trust Layer

Trust score

6/10

MyAI rating

9.0

Runs

1

Freshness

Stale

Source-linked row with explicit verification status.

Tested on 2025-04-03; 511 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 $749 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 one of the highest-scoring parts in our database, so it is worth tracking when inventory lands near fair-market pricing.

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