Consumer GPUNVIDIA

NVIDIA GeForce RTX 4070 12GB

Curated Aggregate·2025-07-226 workloads · 6 records
MyAI Rating8.5tok/s · Phi-3 Mini

VRAM

12 GB

TDP

200 W

MSRP

$599

Perf/W

0.31 tok/s/W

Cost/1K tok

$0.10/M

Tested

2025-07-22

Quick answer

How fast is NVIDIA GeForce RTX 4070 12GB for local AI workloads?

NVIDIA GeForce RTX 4070 12GB hits 138.0 tok/s on Phi-3 Mini, its strongest benchmarked workload (batch 1, 4096-token context, 12GB VRAM, 200W TDP). It has 6 records across 6 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.

Source: MyAIHardware benchmark database (bench-rtx4070-phi3)As of 2025-08-04

Overview

Power-Efficient Midrange

NVIDIA GeForce RTX 4070 12GB — Ada Lovelace midrange GPU. 12GB GDDR6X at 504 GB/s, 200W TDP. Power-efficient Ada architecture at $599 MSRP.

AI Usefulness

12GB VRAM runs 7B Q4 comfortably at ~60-65 tok/s. 13B Q4 fits with tight context. The best power-efficiency in its class at 200W. Best for: AI-capable gaming builds, entry-level coding agents on 7-8B models, and budget-conscious builders who want Ada architecture. The 12GB ceiling limits growth to 13B-class models — consider used 3090 (24GB) for serious AI work at similar cost.

Verdict

NVIDIA GeForce RTX 4070 12GB with 12GB VRAM at 200W TDP, scored across 6 workloads with 6 benchmark records.

Best workload

Phi-3 Mini

138 tok/s

Quantization

Q4_K_M

4K context · batch 1

LLM Inference Performance

03570105140Llama 38B Q4Phi-3 MiniMistral 7BGemma 29B

Benchmarks (6 workloads)

WorkloadScoreQuantContextσStatusTested
Llama 3 8B Q4

llm

62.0tok/sQ4_K_M4K, Curated Aggregate2025-07-22
Phi-3 Mini

llm

138.0tok/sQ4_K_M4K, Curated Aggregate2025-08-04
SDXL image gen

image

9.0img/minFP16, , Curated Aggregate2025-04-19
Whisper transcription

audio

42.0x RTFP16, , Curated Aggregate2024-09-04
Mistral 7B

llm

76.0tok/sQ4_K_M4K, Curated Aggregate2024-05-04
Gemma 2 9B

llm

64.0tok/sQ4_K_M8K, Curated Aggregate2024-07-17

MyAI Score

Flagship
8.5/10

NVIDIA GeForce RTX 4070 12GB clears a 8.5/10 based on workload-normalized throughput, memory headroom, efficiency, value, trust, and coverage.

Throughput
274
Capability
122
Efficiency
56
Value
56
Trust
44
Coverage
45
Composite benchmark597 / 1000

Workload Fit

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

Q4
Q8
FP16
7-8B
Excellent
Excellent
Won't fit
13-14B
Excellent
Tight
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 Mini138 tok/s
Mistral 7B76 tok/s
Gemma 2 9B64 tok/s

Source

Small model fits comfortably.

View sourceHow we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

8.5

Runs

1

Freshness

Stale

Source-linked row with explicit verification status.

Tested on 2025-08-04; 388 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 $599 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.