Where do the NVIDIA RTX A4000 16GB 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 · Ampere Pro

NVIDIA RTX A4000 16GB — Benchmarks & Specs

Name: NVIDIA RTX A4000 16GB — Benchmarks & Specs
Brand: NVIDIA
SKU: nvidia-rtx-a4000
Price: 1000 USD
Availability: InStock

16 GB VRAM140W TDP$1,000 MSRP2021

Buy NVIDIA RTX A4000 16GB on Amazon →

*Price sourced from Amazon.com. Last updated 2026-06-21. Price and availability subject to change.

The NVIDIA RTX A4000 16GB is a graphics card from the Ampere Pro family released in 2021 from NVIDIA. Key on-paper specs include 16 GB of GDDR VRAM, 140W TDP. It launched with a $1,000 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+ Amazon listings, 7 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 RTX A4000 16GB, 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.

PassMark G3D Mark via PassMark Software

19,367 points

PassMark G3D Mark via PassMark

19,363 points

3DMark Time Spy via 3DMark

12,376 points

3DMark Time Spy via topcpu.net

11,079 points

3DMark Port Royal via HWBOT

7,380 points

3DMark Port Royal via HWBOT / 3DMark

7,380 points

3DMark Steel Nomad via UL Benchmarks

2,617 points

AI Inference Performance

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

llama2:7b q4_0 via knightli.com

83.8 tok/s

llama2:7b Q4_0 via llama.cpp GitHub

83.8 tok/s

llama2:7b q4_K_M via Databasemart

65.1 tok/s

mistral:7b q4_K_M via Databasemart

64.2 tok/s

mistral:7b Q4_K_M via DatabaseMart

64.2 tok/s

qwen2.5:7b Q4_K_M via DatabaseMart

52.7 tok/s

deepseek-r1:7b Q4_K_M via DatabaseMart

52.6 tok/s

deepseek-r1:7b q4_K_M via Databasemart

52.6 tok/s

deepseek-r1:8b q4_K_M via Databasemart

51.6 tok/s

deepseek-r1:8b Q4_K_M via DatabaseMart

51.6 tok/s

Products Featuring the NVIDIA RTX A4000 16GB

900-5G190-2200-000 for Nvidia RTX A4000 16GB GDDR6 PG190 Slim Single-Slot GPU Graphics Card

$1739.00

🛒 Check Price on Amazon Details

Full Specifications

tdp w	140
vram gb	16
cuda cores	6144
memory type	GDDR6

NVIDIA RTX A4000 16GB — Frequently Asked Questions

What is the NVIDIA RTX A4000 16GB best used for?

NVIDIA RTX A4000 16GB is positioned as a 16 GB VRAM Ampere Pro-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 RTX A4000 16GB released, and what was its launch MSRP?

NVIDIA RTX A4000 16GB launched in 2021 at a $1,000 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 RTX A4000 16GB run local LLMs?

Yes — NVIDIA RTX A4000 16GB has 10 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 RTX A4000 16GB?

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.