VRAM
16 GB
TDP
300 W
MSRP
$749
Perf/W
0.43 img/min/W
Cost/1K tok
$0.06/M
Tested
2026-02-20
NVIDIA GeForce RTX 5070 Ti 16GB has a source-attributed result of 14.0 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 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.
16GB is a practical capacity target for smaller Q4 models. Typical 32B Q4 weights exceed 16GB before cache and runtime buffers; use a smaller artifact or explicit offload. Validate software support for the chosen quantization.
NVIDIA GeForce RTX 5070 Ti 16GB with 16GB VRAM at 300W TDP, scored across 8 workloads with 9 benchmark records.
Reference workload
SDXL image gen
14 img/min
Quantization
FP16
· batch 1
| Workload | Score | Quant | Context | σ | Status | Tested |
|---|---|---|---|---|---|---|
| Llama 3 8B Q4 llm | 128.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2026-02-20 |
| DeepSeek-R1 7B llm | 108.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2026-02-25 |
| Qwen 2.5 14B llm | 65.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2026-03-01 |
| SDXL image gen image | 14.0img/min | FP16 | , | , | Curated Aggregate | 2026-03-04 |
| Mistral 7B llm | 108.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2025-02-28 |
| Gemma 2 9B llm | 92.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2025-03-22 |
| Embedding throughput embedding | 7100.0emb/s | FP16 | 1K | , | Curated Aggregate | 2025-04-03 |
| Asure 12B llm | 95.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2025-05-01 |
There is insufficient comparable evidence to score NVIDIA GeForce RTX 5070 Ti 16GB. A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.
Planning estimates for 16GB: weights plus at least 2GB or 10% overhead. Actual KV cache depends on model, context and cache format; confirm the artifact before buying.
Trust score
6/10
MyAI rating
Not scored
Runs
Not documented
Freshness
Stale
Source-linked row with explicit verification status.
Record date: 2026-03-04; 189 days old.
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Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.