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NVIDIA GeForce RTX 4070 Ti SUPER
NVIDIA · GPU · Ada Lovelace

NVIDIA GeForce RTX 4070 Ti SUPER — Benchmarks & Specs

16 GB VRAM285W TDP$799 MSRP2024
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*Price sourced from Amazon.com. Price and availability subject to change.

Bottom line: how fast is the NVIDIA GeForce RTX 4070 Ti SUPER?

At 1440p (Ultra Custom (DX12)), the NVIDIA GeForce RTX 4070 Ti SUPER averages 228 fps in F1 2022, per Gamers Nexus. For local LLM inference it generates 161.0 tokens/sec running llama3.2:1b at q4_K_M under llamafile, per LocalScore (Mozilla Builders). In 3DMark Fire Strike it scores 42,724 points, per WorthPlaying. Its 16 GB of VRAM is the binding constraint for local inference: that capacity fits 13-17B-parameter models at Q4 with room for long context.

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. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

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 Amazon listings. Data on this page draws on 8+ Amazon listings, 10 synthetic benchmark results, 12 community AI inference reports, 14 measured game frame-rate results, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. 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, productivity benchmarks, 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.

Measured gaming frame rates for the NVIDIA GeForce RTX 4070 Ti SUPER by game, resolution, and quality preset. “1% low” is the frame-time floor that determines perceived smoothness. Each row links to its original review or benchmark database.
Game Resolution Settings Relative Avg FPS 1% low Source
Resident Evil 4 (2023) 1080p Prioritize Graphics 253 fps — Gamers Nexus 2024-01-22
Resident Evil 4 (2023) 1080p High 253 fps — GamersNexus 2024-02-12
Resident Evil 4 Remake 1080p Prioritize Graphics 253 fps — Gamers Nexus 2024-01-23
F1 2022 1440p Ultra Custom (DX12) 228 fps — Gamers Nexus 2024-02-12
F1 2022 1440p Ultra 228 fps — Gamers Nexus 2024-01-22
F1 22 1440p Ultra Custom DX12 228 fps — Gamers Nexus 2024-01-23
Resident Evil 4 Remake 1080p Max RT + FSR Quality RT on FSR Quality 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 High 172 fps — GamersNexus 2024-02-12
Resident Evil 4 (2023) 1440p Prioritize Graphics 172 fps — Gamers Nexus 2024-01-22

AI Inference Performance

Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.

Local LLM inference throughput on the NVIDIA GeForce RTX 4070 Ti SUPER, in generated tokens per second. Higher is better; each row links to the community report or benchmark database it came from.
Model Quantization Relative Tokens/sec VRAM used Source
llama3.2:1b q4_K_M llamafile 161.0 tok/s — LocalScore (Mozilla Builders) 2025-05-01
llama2:7b q4_0 llama.cpp 132.3 tok/s — llama.cpp GitHub (CUDA Scoreboard) 2024-06-01
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 113.6 tok/s — Hardware Corner 2025-12-09
gpt-oss:20b q4_K_XL llama.cpp 113.6 tok/s — Hardware Corner 2025-12-09
gpt-oss:20b Q4_K_XL llama.cpp 98.7 tok/s — Hardware Corner 2025-12-09
gpt-oss:20b q4_K_XL llama.cpp 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 78.7 tok/s — Hardware Corner 2025-12-09
gpt-oss:20b q4_K_XL llama.cpp 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
qwen3:8b Q4_K_XL llama.cpp 72.2 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.

Synthetic benchmark scores for the NVIDIA GeForce RTX 4070 Ti SUPER — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
3DMark Fire Strike 42,724 points WorthPlaying 2024-01-23
PassMark G3D Mark 31,812 pts PassMark 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 2024-02-01
3DMark Time Spy 22,990 points Overclocking.com 2024-01-22
3DMark Time Spy 21,297 points WorthPlaying 2024-01-23
3DMark Port Royal 17,449 points 3DMark 2024-02-01
3DMark Port Royal 15,798 points Overclocking.com 2024-01-24
3DMark Fire Strike Ultra 14,209 points WorthPlaying 2024-01-23

Products Featuring the NVIDIA GeForce RTX 4070 Ti SUPER

Full Specifications

tdp w285
vram gb16
vram typeGDDR6X
cuda cores8448

NVIDIA GeForce RTX 4070 Ti SUPER — Frequently Asked Questions

What is the NVIDIA GeForce RTX 4070 Ti SUPER best used for?
NVIDIA GeForce RTX 4070 Ti SUPER is positioned as a 16 GB VRAM Ada Lovelace-family graphics card. Use it for 1440p/4K gaming and mid-tier AI workloads. See the synthetic + AI benchmark tables below for measured performance.
When was the NVIDIA GeForce RTX 4070 Ti SUPER released, and what was its launch MSRP?
NVIDIA GeForce RTX 4070 Ti SUPER launched in 2024 at a $799 MSRP. Street prices diverge from launch pricing over a product's lifetime — check the linked Amazon listings on this page for current availability.
Where do the benchmark numbers on this page come from?
Synthetic benchmarks are scraped from public databases (TechPowerUp, PassMark, Geekbench Browser, Cinebench leaderboards). AI inference numbers come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs, and Phoronix when available). Every benchmark row carries an inline source citation — click through to verify the original number.
Can the NVIDIA GeForce RTX 4070 Ti SUPER run local LLMs?
Yes — NVIDIA GeForce RTX 4070 Ti SUPER has 12 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). 16 GB VRAM is enough for 13-17B parameter models at Q4 with comfortable context.
Where can I buy the NVIDIA GeForce RTX 4070 Ti SUPER?
Amazon listings are linked at the top of this page (in the hero CTA) and in the "Products Featuring this Hardware" section below. SpecPicks earns a small affiliate commission on qualifying purchases.

Buying guides that rank the NVIDIA GeForce RTX 4070 Ti SUPER's class

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NVIDIA GeForce RTX 4070 Ti SUPER
NVIDIA GeForce RTX 4070 Ti SUPER
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