Where do the NVIDIA GeForce GTX 1050 Ti benchmark numbers come from?

Synthetic benchmarks are aggregated from TechPowerUp, PassMark, Geekbench Browser, and Cinebench leaderboards. AI inference tokens-per-second results come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs). Every benchmark row carries an inline source citation; click through to verify the original number.

NVIDIA GeForce GTX 1050 Ti Benchmarks

Q: Where can I buy the NVIDIA GeForce GTX 1050 Ti?

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Bottom line: how fast is the NVIDIA GeForce GTX 1050 Ti?

For local LLM inference it generates 19.1 tokens/sec running Llama 7B at Q4_0 under llama.cpp, per llama.cpp CUDA benchmark thread. Its 4 GB of VRAM is the binding constraint for local inference: that capacity fits 7B-parameter models at Q4.

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 GTX 1050 Ti is a graphics card from the Pascal family released in 2016 from NVIDIA. Key on-paper specs include 4 GB of GDDR5 VRAM, 75W TDP. It launched with a $139 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 1 community AI inference report, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the NVIDIA GeForce GTX 1050 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).

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 GTX 1050 Ti, 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
Llama 7B	Q4_0 llama.cpp		19.1 tok/s	—	llama.cpp CUDA benchmark thread

Full Specifications

gpu	GP107
tdp w	75
vram gb	4
vram type	GDDR5
cuda cores	768
memory bus bit	128
memory bandwidth gbs	112.1

NVIDIA GeForce GTX 1050 Ti — Frequently Asked Questions

What is the NVIDIA GeForce GTX 1050 Ti best used for?

NVIDIA GeForce GTX 1050 Ti is positioned as a 4 GB VRAM Pascal-family graphics card. Use it for 1080p gaming and general productivity. See the synthetic + AI benchmark tables below for measured performance.

When was the NVIDIA GeForce GTX 1050 Ti released, and what was its launch MSRP?

NVIDIA GeForce GTX 1050 Ti launched in 2016 at a $139 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 GTX 1050 Ti run local LLMs?

Yes — NVIDIA GeForce GTX 1050 Ti has 1 AI inference benchmark on file (see the AI Inference Performance section above for model + tokens-per-second numbers).

Where can I buy the NVIDIA GeForce GTX 1050 Ti?

Active Amazon listings aren't on file for this exact SKU yet. See the linked benchmark sources and the Compare tool for adjacent parts that may be in stock — and check the /benchmarks index for the latest curated picks in this category.