Where do the NVIDIA Tesla P40 24GB 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 · GPU · Pascal Pro

NVIDIA Tesla P40 24GB — Benchmarks & Specs

Name: NVIDIA Tesla P40 24GB — Benchmarks & Specs
Brand: NVIDIA
SKU: nvidia-tesla-p40
Price: 6800 USD
Availability: InStock

24 GB VRAM250W TDP$6,800 MSRP2016

The NVIDIA Tesla P40 24GB is a graphics card from the Pascal Pro family released in 2016 from NVIDIA. Key on-paper specs include 24 GB of GDDR VRAM, 250W TDP. It launched with a $6,800 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 5 synthetic benchmark results, 10 community AI inference reports, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the NVIDIA Tesla P40 24GB, 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).

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.

Geekbench 5 OpenCL via Geekbench Browser

62,287 points

PassMark G3D Mark via PassMark PerformanceTest

11,596 points

PassMark G3D Mark via PassMark Software

11,596 points

3DMark Time Spy via 3DMark

8,079 points

PassMark GPU Compute via PassMark PerformanceTest

4,082 Ops/Sec

AI Inference Performance

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

llama3.2:3b via TinyComputers.io

94.3 tok/s

llama3.2:1b q4_K_M via LocalScore.ai

90.5 tok/s

llama-2:7b Q4_0 via llama.cpp GitHub

54.7 tok/s

qwen2.5:7b via TinyComputers.io

52.7 tok/s

llama3.1:8b via TinyComputers.io

47.8 tok/s

llama-2:7b Q4_0 via LocalScore.ai

40.9 tok/s

llama2:7b q4_0 via LocalScore.ai

40.9 tok/s

qwen2.5:7b via oobabooga text-generation-webui GitHub

25.0 tok/s

qwen2.5:14b q4_K_M via LocalScore.ai

13.6 tok/s

llama2:13b q4_0 via vDan.cz

— tok/s

Full Specifications

tdp w	250
vram gb	24
cuda cores	3840
memory type	GDDR5

NVIDIA Tesla P40 24GB — Frequently Asked Questions

What is the NVIDIA Tesla P40 24GB best used for?

NVIDIA Tesla P40 24GB is positioned as a 24 GB VRAM Pascal Pro-family graphics card. Use it for high-end 4K gaming and local LLM inference. See the synthetic + AI benchmark tables below for measured performance.

When was the NVIDIA Tesla P40 24GB released, and what was its launch MSRP?

NVIDIA Tesla P40 24GB launched in 2016 at a $6,800 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 Tesla P40 24GB run local LLMs?

Yes — NVIDIA Tesla P40 24GB has 10 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). With 24 GB VRAM, it fits the popular 32B-parameter open-weight models at Q4 quantization comfortably.

Where can I buy the NVIDIA Tesla P40 24GB?

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.