NVIDIA GeForce RTX 4070 Ti SUPER — Benchmarks & Specs
Short answer: the NVIDIA GeForce RTX 4070 Ti SUPER generates a median 75.4 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 4 cited runs from llama.cpp GitHub and Hardware Corner. Its 16 GB of VRAM holds up to gpt-oss-20b at MXFP4 with an ~8K context, by the Will-It-Run matrix's sizing (14 of 23 models fit).
- Median speed 75.4 tok/s 4 cited runs, 7-9B at Q4, llama.cpp
- Fits in 16 GB up to gpt-oss-20b at MXFP4 → at ~8K context; 14 of 23 models in the Will-It-Run matrix
Bottom line: how fast is the NVIDIA GeForce RTX 4070 Ti SUPER?
SpecPicks median: 75.4 tokens/sec across 4 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 36.6–132 tok/s), from llama.cpp GitHub, Hardware Corner (3 runs). At 1440p Ultra with DLSS Quality upscaling, the NVIDIA GeForce RTX 4070 Ti SUPER averages 113 fps in Cyberpunk 2077 with a 57 fps 1% low, per WorthPlaying. For local LLM inference it generates 36.8 tokens/sec running qwen2.5:14b at q4_K_M under llamafile, per LocalScore. In 3DMark Fire Strike it scores 42,724 points, per WorthPlaying. Its 16 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is gpt-oss:20b (20B parameters, MXFP4), generating 128.9 tokens/sec under llama.cpp, per Hardware Corner.
Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from; the SpecPicks median is computed here from the runs it names, each a row in the AI table. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
Check what fits in 16 GB: by Q4-class file size, 14 of the 23 open-weight models in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA GeForce RTX 4070 Ti SUPER's 16 GB with 1.5 GB left for an ~8K context, up to gpt-oss-20b (a 12.1 GB MXFP4 file per its Hugging Face listing). Will gpt-oss-20b run on the RTX 4070 Ti SUPER? → · Full Will-It-Run matrix
The NVIDIA GeForce RTX 4070 Ti SUPER is a graphics card from the Ada Lovelace family released in 2024 from NVIDIA. Key on-paper specs include 16 GB of GDDR6X VRAM, 285W TDP. It launched with a $799 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current listings. Data on this page draws on 8 linked listings, 20 synthetic benchmark results (top 10 shown), 18 community AI inference reports (top 14 shown), 81 measured game frame-rate results (top 15 shown), compiled from Hardware Corner, Gamers Nexus, WorthPlaying, LocalScore, 3DMark, llama.cpp GitHub, Overclocking.com, PassMark, TechPowerUp, Wccftech; each table row links to its source. Read this page when shopping the NVIDIA GeForce RTX 4070 Ti SUPER, comparing it against other graphics cards in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, synthetic benchmark scores, or local LLM inference).
Gaming Performance (measured FPS)
Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.
| Game | Resolution | Settings | Relative | Avg FPS | 1% low | Source |
|---|---|---|---|---|---|---|
| Resident Evil 4 (2023) | 1080p | High | 253 fps | — | Gamers Nexus 2024-02-12 | |
| Resident Evil 4 Remake | 1080p | Prioritize Graphics | 253 fps | — | Gamers Nexus 2024-01-23 | |
| Resident Evil 4 (2023) | 1080p | Prioritize Graphics | 253 fps | — | Gamers Nexus 2024-01-22 | |
| F1 2022 | 1440p | Ultra | 228 fps | — | Gamers Nexus 2024-01-22 | |
| F1 22 | 1440p | Ultra Custom DX12 | 228 fps | — | Gamers Nexus 2024-01-23 | |
| F1 2022 | 1440p | Ultra Custom (DX12) | 228 fps | — | Gamers Nexus 2024-02-12 | |
| Resident Evil 4 Remake | 1080p | Max RT + FSR Quality RT on | 201 fps | — | Gamers Nexus 2024-01-23 | |
| Resident Evil 4 (2023) | 1080p | Max RT RT on FSR Quality | 201 fps | — | Gamers Nexus 2024-01-22 | |
| Forza Horizon 5 | 1440p | Ultra DLSS Quality | 193 fps | 125 fps | WorthPlaying 2024-01-23 | |
| Rainbow Six Siege | 4K | Ultra (DX11) | 184 fps | — | Gamers Nexus 2024-02-12 | |
| Rainbow Six Siege | 4K | Ultra DX11 | 184 fps | — | Gamers Nexus 2024-01-23 | |
| Rainbow Six Siege | 4K | Ultra | 184 fps | — | Gamers Nexus 2024-01-22 | |
| Resident Evil 4 (2023) | 1440p | Prioritize Graphics | 172 fps | — | Gamers Nexus 2024-01-22 | |
| Resident Evil 4 Remake | 1440p | Prioritize Graphics | 172 fps | — | Gamers Nexus 2024-01-23 | |
| Cyberpunk 2077 | 1440p | Ultra DLSS Quality | 113 fps | 57 fps | WorthPlaying 2024-01-23 |
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| llama3.2:1b | q4_K_M llamafile | 161.0 tok/s | — | LocalScore (Mozilla Builders) retrieved 2026-08-06 | |
| llama2:7b | q4_0 llama.cpp | 132.3 tok/s | — | llama.cpp GitHub (CUDA scoreboard) 2024-06 | |
| llama2:7b | Q4_0 llama.cpp (Vulkan) | 129.4 tok/s | — | llama.cpp GitHub (Vulkan performance scoreboard) 2025-09-24 | |
| gpt-oss:20b | MXFP4 llama.cpp | 128.9 tok/s | 13.8 GB | Hardware Corner 2025-12-09 | |
| gpt-oss:20b | Q4_K_XL llama.cpp 16K context | 113.6 tok/s | — | Hardware Corner 2025-12-09 | |
| gpt-oss:20b | Q4_K_XL llama.cpp 32K context | 98.7 tok/s | — | Hardware Corner 2025-12-09 | |
| qwen3:8b | q4_K_M llama.cpp | 96.3 tok/s | — | Hardware Corner 2025-12-09 | |
| gpt-oss:20b | Q4_K_XL llama.cpp 64K context | 78.7 tok/s | — | Hardware Corner 2025-12-09 | |
| qwen3:8b | q4_K_M llama.cpp | 72.2 tok/s | — | Hardware Corner 2025-12-09 | |
| qwen3:14b | q4_K_M llama.cpp | 58.1 tok/s | — | Hardware Corner 2025-12-09 | |
| gpt-oss:20b | q4_K_XL llama.cpp 128K context | 57.5 tok/s | — | Hardware Corner 2025-12-09 | |
| qwen3:8b | Q4_K_XL llama.cpp 32K context | 54.5 tok/s | — | Hardware Corner 2025-12-09 | |
| qwen2.5:14b | q4_K_M llamafile | 36.8 tok/s | — | LocalScore (Mozilla Builders) retrieved 2026-08-06 | |
| qwen3:8b | q4_K_XL llama.cpp 64K context | 36.6 tok/s | — | Hardware Corner 2025-12-09 |
Synthetic Benchmarks
Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| 3DMark Fire Strike | 42,724 points | WorthPlaying 2024-01-23 | |
| PassMark G3D Mark | 31,812 pts | PassMark retrieved 2026-04-20 | |
| 3DMark Time Spy Extreme | 28,400 pts | TechPowerUp 2024-12-10 | |
| 3DMark Fire Strike Extreme | 26,435 points | WorthPlaying 2024-01-23 | |
| 3DMark Time Spy | 24,007 points | 3DMark 2024-02 | |
| 3DMark Time Spy (Graphics) | 23,983 points | Wccftech 2024-01-23 | |
| 3DMark Time Spy | 22,990 points | Overclocking.com 2024-01-22 | |
| 3DMark Time Spy140516 hardware review | 21,297 points | WorthPlaying 2024-01-23 | |
| 3DMark Port Royal | 17,449 points | 3DMark 2024-02 | |
| 3DMark Port Royal | 15,798 points | Overclocking.com 2024-01-24 |
Products Featuring the NVIDIA GeForce RTX 4070 Ti SUPER
Full Specifications
| TDP | 285 W |
|---|---|
| VRAM | 16 GB |
| Memory type | GDDR6X |
| CUDA cores | 8448 |
NVIDIA GeForce RTX 4070 Ti SUPER — Frequently Asked Questions
What is the NVIDIA GeForce RTX 4070 Ti SUPER best used for?
When was the NVIDIA GeForce RTX 4070 Ti SUPER released, and what was its launch MSRP?
Where do the NVIDIA GeForce RTX 4070 Ti SUPER benchmark numbers come from?
Can the NVIDIA GeForce RTX 4070 Ti SUPER run local LLMs?
Where can I buy the NVIDIA GeForce RTX 4070 Ti SUPER?
Buying guides that rank the NVIDIA GeForce RTX 4070 Ti SUPER's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
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