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GeForce RTX 4070
NVIDIA · GPU · Ada Lovelace

NVIDIA GeForce RTX 4070 — Benchmarks & Specs

12 GB VRAM$599 MSRP

Short answer: the NVIDIA GeForce RTX 4070 generates a median 52.1 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 7 cited runs from knightli.com llama.cpp GPU Benchmark Scoreboard, Local LLM Benchmarks, LocalScore.ai and Hardware Corner. Its 12 GB of VRAM holds up to Phi-4 14B at Q4_K_M with an ~8K context, by the Will-It-Run matrix's sizing (13 of 23 models fit). At the $849.00 Amazon price checked 17 h ago (prices change), that is 61.4 tok/s per $1,000, the SpecPicks Value Index. That ranks #24 of 29 GPUs on tok/s per $1,000 in the SpecPicks value table (table built 2026-10-21 13:12 UTC).

Bottom line: how fast is the GeForce RTX 4070?

SpecPicks median: 52.1 tokens/sec across 7 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 38.1–92.3 tok/s), from knightli.com llama.cpp GPU Benchmark Scoreboard, Local LLM Benchmarks, LocalScore.ai, Hardware Corner (4 runs). At the $849.00 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 61.4 tok/s per $1,000. One of those runs: llama3.1:8b at q4_K_M generates 76.3 tokens/sec under llama.cpp, per LocalScore.ai. At 1440p Ultra, the GeForce RTX 4070 averages 91 fps in Cyberpunk 2077, per Overclocking.com. In 3DMark Fire Strike it scores 37,790 points, per Overclocking.com. Its 12 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is qwen2.5:14b (14B parameters, q4_K_M), generating 37.9 tokens/sec under llama.cpp, per LocalScore.ai.

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, and the per-$1,000 figure divides it by the dated listing price. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

Amazon listing: $849.00

This Amazon listing is above the GeForce RTX 4070's $599 launch MSRP. Compare new and used listings on eBay before buying.

*Price sourced from Amazon.com. Last updated 2026-10-20. Price and availability subject to change.

Read the full comparison → Ryzen AI Max+ 395 vs RTX 4070: Gaming vs AI in 2026

Check what fits in 12 GB: by Q4-class file size, 13 of the 23 open-weight models in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA GeForce RTX 4070's 12 GB with 1.5 GB left for an ~8K context, up to Phi-4 14B (a 9.1 GB Q4_K_M file per its Hugging Face listing). Check a model in the Will-It-Run matrix →

The GeForce RTX 4070 is a graphics card from the Ada Lovelace family from NVIDIA. Key on-paper specs include 12 GB of VRAM. It launched with a $599 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, 15 synthetic benchmark results (top 10 shown), 14 community AI inference reports (top 12 shown), 84 game frame-rate results (top 15 shown), compiled from TechSpot, Overclocking.com, LocalScore.ai, PC Guide, Hardware Corner, knightli.com llama.cpp GPU Benchmark Scoreboard, llama.cpp GitHub, Local LLM Benchmarks, Puget Systems, 3DMark, LocalLLaMA, PassMark, TopCPU.net; each table row links to its source. Read this page when shopping the GeForce RTX 4070, 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 (reported FPS)

Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.

Gaming frame rates for the GeForce RTX 4070 by game, resolution, and quality preset. Rows from aggregator sites are estimates, not measured runs, dated by when SpecPicks fetched them. “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
Counter-Strike 2 1080p High 313 fps — PC Guide 2026-06-10
Doom Eternal 1440p RT Ultra RT on 249 fps — TechSpot 2023-04-12
Counter-Strike 2 1440p High 214 fps — PC Guide 2026-06-10
Rainbow Six Extraction 1440p — 191 fps — TechSpot 2023-04-12
Call of Duty: Modern Warfare II 1440p — 182 fps — TechSpot 2023-04-12
Counter-Strike 2 1440p DLSS Ultra Quality 165 fps 150 fps Puget Systems 2023-08-25
Shadow of the Tomb Raider 1440p RT Ultra RT on DLSS Balanced 164 fps — Overclocking.com 2023-04-13
Counter-Strike 2 1440p Ultra 150 fps 135 fps Puget Systems 2023-08-25
Hitman 3 1440p Ultra 147 fps — TechSpot 2023-04-12
Hitman 3 1440p — 147 fps — TechSpot 2023-04-12
Resident Evil Village 1440p RT Ultra RT on 144 fps — TechSpot 2023-04-12
The Outer Worlds 1440p — 141 fps — TechSpot 2023-04-12
Shadow of the Tomb Raider 1440p — 139 fps — TechSpot 2023-04-12
Shadow of the Tomb Raider 1440p Highest 139 fps — TechSpot 2023-04-12
Cyberpunk 2077 1440p Ultra 91 fps — Overclocking.com 2023-04-13

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 GeForce RTX 4070, in generated tokens per second for a single request (one user's generation speed). 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 llama.cpp 283.0 tok/s — LocalScore.ai retrieved 2026-07-10
llama2:7b q4_0 llama.cpp 92.3 tok/s — knightli.com llama.cpp GPU Benchmark Scoreboard 2026-04-23
llama2:7b Q4_0 llama.cpp (Vulkan) 92.3 tok/s — llama.cpp GitHub (Vulkan scoreboard) 2025-01-12
llama2:7b Q4_0 llama.cpp (Vulkan, FA on, coopmat2) 91.5 tok/s — llama.cpp GitHub (Vulkan scoreboard) 2025-01-12
llama3.1:8b q4_K_M llama.cpp 78.0 tok/s — Local LLM Benchmarks (kunalganglani.com) 2024-06
llama3.1:8b q4_K_M llama.cpp 76.3 tok/s — LocalScore.ai retrieved 2026-07-10
qwen3:8b q4_K_XL llama.cpp 52.1 tok/s — Local LLM Speed Comparison — singhajit.com 2025-05
llama3.1:8b q4_K_XL llama.cpp 52.1 tok/s — Ajit Singh / Hardware-Corner 2024-06
qwen3:8b Q4_K_XL llama.cpp 16K context 52.1 tok/s — Hardware Corner 2025-11-02
qwen3:0.6b — ollama 47.1 tok/s — LocalLLaMA 2026-04-15
qwen3:8b Q4_K_XL llama.cpp 32K context 38.1 tok/s — Hardware Corner 2025-11-02
qwen2.5:14b q4_K_M llama.cpp 37.9 tok/s — LocalScore.ai retrieved 2026-07-10

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 GeForce RTX 4070 — higher is better. Each row links to the public database the number was taken from. A benchmark listed more than once is separate published results, shown as published rather than averaged.
Benchmark Relative Score Source
3DMark Fire Strike 37,790 points Overclocking.com 2023-04-13
PassMark G3D Mark 26,909 pts PassMark retrieved 2026-04-20
3DMark Time Spy 17,887 points TopCPU.net retrieved 2026-07-10
3DMark Time Spy 16,822 points 3DMark 2023-06
3DMark Port Royal 11,126 points 3DMark (UL Benchmarks database — Ryzen 7 7700X system) 2023-04
3DMark Port Royal 10,953 points PC Guide 2024-01
3DMark FireStrike Ultra 9,880 points PC Guide 2024-01
3DMark Time Spy Extreme 8,592 points Overclocking.com 2023-04-13
3DMark Time Spy Extreme 8,320 points PC Guide 2024-01
3DMark Speed Way 4,485 points Overclocking.com 2023-04-13

Products Featuring the GeForce RTX 4070

Full Specifications

VRAM12 GB

GeForce RTX 4070 — Frequently Asked Questions

What is the GeForce RTX 4070 best used for?
GeForce RTX 4070 is a 12 GB VRAM Ada Lovelace-family graphics card. 1080p/1440p gaming and lightweight content creation are the headline use cases; the benchmark tables on this page place it within its generation.
Where do the GeForce RTX 4070 benchmark numbers come from?
Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.
Can the GeForce RTX 4070 run local LLMs?
Yes — AI inference results for the GeForce RTX 4070 are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. 12 GB VRAM fits 8-13B-parameter models at Q4_K_M.
Where can I buy the GeForce RTX 4070?
Amazon listings for the GeForce RTX 4070 are linked at the top of this page and in the Products Featuring the GeForce RTX 4070 section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

Buying guides that rank the GeForce RTX 4070's class

This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.

Editorial guides covering the GeForce RTX 4070

In-depth SpecPicks reviews, build guides, and head-to-heads referencing this graphics card.

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Hardware benchmark data on SpecPicks

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GeForce RTX 4070
GeForce RTX 4070
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