VRAM
12 GB
TDP
285 W
MSRP
$799
Perf/W
0.27 img/min/W
Cost/1K tok
$0.11/M
Tested
2024-08-05
NVIDIA GeForce RTX 4070 Ti 12GB has a source-attributed result of 11.0 img/min on SDXL image gen (batch 1, 0-token context, FP16; runtime not documented). This is a reference report, not an independently verified lab result. A 70B Q4_K_M artifact needs roughly 40GB for weights alone; smaller memory configurations require explicit offload or model splitting and do not establish full-GPU residency.
NVIDIA GeForce RTX 4070 Ti 12GB — Ada Lovelace upper-midrange. 12GB GDDR6X at 504 GB/s, 285W TDP. Faster compute than the 3080 but same 12GB VRAM ceiling.
12GB caps at 7B Q4 comfortably, 13B Q4 with tight context. Good for 7B coding agents and image generation. The 12GB ceiling is the limitation — if you're serious about local AI, the extra $100-200 for a used 3090 (24GB) is transformative. Best as a gaming-primary, AI-secondary card.
Buy as a gaming-primary, AI-secondary card. For pure AI, the 12GB ceiling is limiting. Consider used 3090 (24GB) or 4060 Ti 16GB instead.
7-8B Q4 full-GPU at 65+ tok/s — excellent for coding agents on small models and image generation
12GB VRAM ceiling — this is the hard limit. 13B Q4 fits but leaves minimal context headroom. 32B Q4 won't fit usefully.
Ubuntu 24.04 (excellent), Windows 11 (excellent), WSL2 (excellent), macOS (unsupported)
285W TGP. 650W PSU minimum. Reasonable thermals. Good efficiency for Ada-class compute.
NVIDIA GeForce RTX 4070 Ti 12GB with 12GB VRAM at 285W TDP, scored across 6 workloads with 6 benchmark records.
Reference workload
SDXL image gen
11 img/min
Quantization
FP16
· batch 1
| Workload | Score | Quant | Context | σ | Status | Tested |
|---|---|---|---|---|---|---|
| Llama 3 8B Q4 llm | 78.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2024-08-05 |
| Phi-3 Mini llm | 165.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2024-04-23 |
| SDXL image gen image | 11.0img/min | FP16 | , | , | Curated Aggregate | 2025-08-01 |
| Mistral 7B llm | 89.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2024-06-08 |
| Gemma 2 9B llm | 75.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2024-08-18 |
| Asure 12B llm | 68.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2025-05-01 |
There is insufficient comparable evidence to score NVIDIA GeForce RTX 4070 Ti 12GB. A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.
Planning estimates for 12GB: weights plus at least 2GB or 10% overhead. Actual KV cache depends on model, context and cache format; confirm the artifact before buying.
Curated from public sources (llama.cpp logs / vendor specs / vLLM community)
View sourceHow we benchmark →Trust score
6/10
MyAI rating
Not scored
Runs
Not documented
Freshness
Stale
Source-linked row with explicit verification status.
Record date: 2025-08-01; 404 days old.
Best place to start
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 listingsThere is insufficient comparable evidence for a purchase recommendation. Check model fit, software support and a current seller quote.
Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.