Consumer GPUNVIDIA

NVIDIA GeForce RTX 5070 12GB

Name: NVIDIA GeForce RTX 5070 12GB
Brand: NVIDIA
SKU: rtx-5070
Price: 549 USD
Availability: InStock
Rating: 8.7 (8 reviews)

Curated Aggregate·2026-03-086 workloads · 8 records

MyAI Rating8.7tok/s · Phi-3 Mini

VRAM

12 GB

TDP

250 W

MSRP

$549

Perf/W

0.37 tok/s/W

Cost/1K tok

$0.06/M

Tested

2026-03-08

Quick answer

How fast is NVIDIA GeForce RTX 5070 12GB for local AI workloads?

NVIDIA GeForce RTX 5070 12GB hits 165.0 tok/s on Phi-3 Mini, its strongest benchmarked workload (batch 1, 4096-token context, 12GB VRAM, 250W TDP). It has 8 records across 6 workloads in our database, with a MyAI Rating of 8.7/10. Llama 3 70B Q4 needs ~40GB VRAM, so check the VRAM column before assuming feasibility.

Overview

Entry Blackwell

NVIDIA GeForce RTX 5070 12GB — Blackwell midrange GPU. 12GB GDDR7 at ~672 GB/s, 250W TDP. Blackwell architecture with FP4 support at $549 MSRP.

AI Usefulness

12GB VRAM runs 7B Q4 comfortably, 13B Q4 with tight context. ~60-70 tok/s on 7-8B models. The entry point for Blackwell AI — sufficient for coding agents on smaller models and general LLM tinkering. Consider the 5070 Ti 16GB if you need 13B+ headroom.

Verdict

NVIDIA GeForce RTX 5070 12GB with 12GB VRAM at 250W TDP, scored across 6 workloads with 8 benchmark records.

Best workload

Phi-3 Mini

165 tok/s

Quantization

Q4_K_M

4K context · batch 1

LLM Inference Performance

Benchmarks (6 workloads)

Workload	Score	Quant	Context	σ	Status	Tested
Llama 3 8B Q4 llm	92.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2026-03-08
DeepSeek-R1 7B llm	75.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2026-03-12
Mistral 7B llm	88.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2025-03-08
Phi-3 Mini llm	165.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2026-03-16
Gemma 2 9B llm	76.0tok/s	Q4_K_M	8K	,	Curated Aggregate	2025-03-15
SDXL image gen image	10.5img/min	FP16	,	,	Curated Aggregate	2026-03-20

MyAI Score

Flagship

8.7/10

NVIDIA GeForce RTX 5070 12GB clears a 8.7/10 based on workload-normalized throughput, memory headroom, efficiency, value, trust, and coverage.

Throughput

284

Capability

122

Efficiency

Value

Trust

Coverage

Composite benchmark617 / 1000

Workload Fit

What models fit this 12GB card at different quantization levels.

FP16

7-8B

Excellent

Won't fit

13-14B

Excellent

Tight

Won't fit

32B

Won't fit

70B

Won't fit

Top Benchmarks

Phi-3 Mini165 tok/s

Llama 3 8B Q492 tok/s

Mistral 7B88 tok/s

Source

Small model flies on 12GB.

View source How we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

8.7

Runs

Freshness

Aging

Source-linked row with explicit verification status.

Tested on 2026-03-16; 164 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 $549 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.