NVIDIA GeForce RTX 5070 Ti — Benchmarks & Specs
*Price sourced from Amazon.com. Price and availability subject to change.
Bottom line: how fast is the NVIDIA GeForce RTX 5070 Ti?
At 1440p (Ultra DLSS Balanced + MFG 4x, DLSS Balanced), the NVIDIA GeForce RTX 5070 Ti averages 424 fps in Cyberpunk 2077, per Digital Trends. For local LLM inference it generates 189.4 tokens/sec running meta-llama/gpt-oss-20b-MoE at MXFP4 under llama.cpp, per llama.cpp GitHub Discussions. In PassMark G3D Mark it scores 32,422 pts, per PassMark. 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 5070 Ti is a graphics card from the Blackwell family released in 2025 from NVIDIA. Key on-paper specs include 16 GB of GDDR7 VRAM, 300W TDP. It launched with a $749 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 5070 Ti, 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.
| Game | Resolution | Settings | Relative | Avg FPS | 1% low | Source |
|---|---|---|---|---|---|---|
| Cyberpunk 2077 | 1440p | Ultra DLSS Balanced + MFG 4x DLSS Balanced | 424 fps | — | Digital Trends 2025-03-24 | |
| War Thunder | 1440p | Ultra Native | 378 fps | — | TechSpot 2025-02-19 | |
| Alan Wake 2 | 1440p | RT DLSS Balanced + MFG 4x RT on DLSS Balanced | 340 fps | — | Digital Trends 2025-03-24 | |
| Doom Eternal | 1440p | Ultra Nightmare RT on | 332 fps | 217 fps | PCGamesN 2025-02-19 | |
| Doom: The Dark Ages | 1440p | Ultra Nightmare RT on DLSS Quality | 285 fps | — | PCGamesN 2025-02-19 | |
| Final Fantasy XIV | 4K | Maximum DLSS + MFG 4x DLSS | 280 fps | — | LanOC 2025-02-19 | |
| Cyberpunk 2077 | 4K | Ultra DLSS Balanced + MFG 4x DLSS Balanced | 250 fps | — | Digital Trends 2025-03-24 | |
| Final Fantasy XIV | 1440p | Maximum Native | 187 fps | — | Gamers Nexus 2025-02-21 | |
| Final Fantasy XIV: Dawntrail | 1440p | Maximum | 187 fps | — | Gamers Nexus 2025-02-19 | |
| Final Fantasy XIV | 1440p | Maximum | 187 fps | — | Gamers Nexus 2025-02-21 | |
| Doom Eternal | 4K | Ultra Nightmare RT on | 184 fps | — | PCGamesN 2025-02-19 | |
| Final Fantasy XIV | 4K | Maximum DLSS + MFG 2x DLSS | 172 fps | — | LanOC 2025-02-19 | |
| Cyberpunk 2077 | 1440p | Ultra DLSS Balanced DLSS Balanced | 152 fps | — | Digital Trends 2025-03-24 | |
| Indiana Jones and the Great Circle | 1080p | Ultra Native | 148 fps | — | PCGamesN 2025-02-20 |
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 |
|---|---|---|---|---|---|
| meta-llama/gpt-oss-20b-MoE | MXFP4 llama.cpp | 189.4 tok/s | — | llama.cpp GitHub Discussions 2025-08-01 | |
| llama3.2:1b | q4_K_M llama.cpp | 185.0 tok/s | — | LocalScore.ai 2025-03-01 | |
| meta-llama/Llama-3.2-1B-Instruct | q4_K_M llama.cpp | 185.0 tok/s | — | LocalScore.ai 2025-04-01 | |
| llama2:7b | q4_0 llama.cpp | 182.4 tok/s | — | KnightLi 2026-04-23 | |
| llama3.1:8b | q4_K_M ollama | 125.0 tok/s | 4.9 GB | ComputingForGeeks 2026-06-28 | |
| qwen3:8b | q4_K_M llama.cpp | 120.5 tok/s | — | Hardware Corner 2026-03-01 | |
| mistral:7b | q4_K_M ollama | 112.0 tok/s | 4.8 GB | Compute Market 2026-03-28 | |
| llama3.1:8b | q8_0 ollama | 78.0 tok/s | 8.5 GB | Compute Market 2026-03-28 | |
| meta-llama/Llama-3.1-8B-Instruct | q5_K_M ollama | 75.0 tok/s | 8.0 GB | ModelFit.io 2025-04-01 | |
| qwen3:14b | q4_K_M llama.cpp | 74.3 tok/s | — | Hardware Corner 2026-03-01 | |
| qwen2.5:14b | q4_K_M ollama | 73.2 tok/s | 9.0 GB | ComputingForGeeks 2026-06-28 | |
| llama3.1:8b | q4_K_M llama.cpp | 65.5 tok/s | — | LocalScore.ai 2025-03-01 |
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 |
|---|---|---|---|
| PassMark G3D Mark | 32,422 pts | PassMark 2026-04-20 | |
| 3DMark Time Spy | 27,949 points | LanOC 2025-02-19 | |
| 3DMark Time Spy | 27,949 points | LanOC Reviews 2025-02-19 | |
| 3DMark Time Spy | 25,610 points | Digital Trends 2025-02-19 | |
| 3DMark Port Royal | 18,851 points | HWBot 2025-05-27 | |
| 3DMark Port Royal | 17,461 points | Digital Trends 2025-02-19 | |
| 3DMark Speed Way | 7,708 points | Overclocking.com 2025-02-22 | |
| 3DMark Steel Nomad | 6,932 points | Overclocking.com 2025-04-18 | |
| 3DMark Steel Nomad | 6,905 points | UL Benchmarks 2025-03-01 | |
| PassMark G2D Mark | 1,329 pts | PassMark 2026-04-20 |
Products Featuring the NVIDIA GeForce RTX 5070 Ti
Full Specifications
| tdp w | 300 |
|---|---|
| vram gb | 16 |
| vram type | GDDR7 |
| cuda cores | 8960 |
NVIDIA GeForce RTX 5070 Ti — Frequently Asked Questions
What is the NVIDIA GeForce RTX 5070 Ti best used for?
When was the NVIDIA GeForce RTX 5070 Ti released, and what was its launch MSRP?
Where do the benchmark numbers on this page come from?
Can the NVIDIA GeForce RTX 5070 Ti run local LLMs?
Where can I buy the NVIDIA GeForce RTX 5070 Ti?
Buying guides that rank the NVIDIA GeForce RTX 5070 Ti'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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