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Comparing NVIDIA GeForce RTX 4000 SFF Ada Generation vs. PRO 2000 Blackwell Generation Laptop

Below you can compare the latest GPU-s across multiple benchmarks. Explore detailed graphs, performance scores, and rankings to quickly find the model that best suits your workflow and creative needs.

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speed

Verdict

The RTX 4000 SFF Ada Generation is 4% faster than the RTX PRO 2000 Blackwell Generation Laptop

Averaged over 2 rendering benchmarks, the RTX 4000 SFF Ada Generation leads in 1 of them. The biggest gap is in Blender, where the RTX 4000 SFF Ada Generation scores 20% higher.

378 · RTX 4000 SFF Ada
407* · RTX PRO 2000 Blackwell Laptop
11,914* · RTX 4000 SFF Ada
11,881* · RTX PRO 2000 Blackwell Laptop
2,047 · RTX 4000 SFF Ada
2,288 · RTX PRO 2000 Blackwell Laptop
3,742 · RTX 4000 SFF Ada
3,110 · RTX PRO 2000 Blackwell Laptop

Scores marked with * are estimated from the other benchmarks we have for that device.

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Price and value

RTX 4000 SFF Ada Generation $1,995 Typical lowest new price, 9 shops
RTX PRO 2000 Blackwell Generation Laptop No reliable price in United States Fewer than five shops list it new.

Google Shopping United States: typical lowest new price on 23 Oct 2026, excl. sales tax

Buy a card or render on the farm

Your RTX 4000 SFF Ada Generation or 100+ GPUs at once?

frames at min per frame on the RTX 4000 SFF Ada Generation
RTX 4000 SFF Ada Generation
20 h 50 min
RTX PRO 2000 Blackwell Generation Laptop
18 h 38 min
Drop & Render
6 min 186× faster
Sapphire 12 min €33.22
Emerald 8 min €53.16
Diamond 6 min €99.67

Estimated with our live price calculator for 250 frames. Local times scale with V-Ray benchmark scores; farm times assume enough free nodes. From €33.22 on Sapphire.

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Ranking by benchmarks

OctaneBench 2025

Cinebench 2024

V-Ray benchmark

Blender benchmark

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Methodology

Our data above is compiled from multiple sources:

  • Our own benchmarks: We conduct extensive testing with the GPU and CPU models we use on the farm. Over the past 10 years we have tested over 1,000 GPUs and 500 CPUs.

  • Model scores: Once we have two or more benchmarks for a device we can perform some machine learning computations to estimate a realistic score in any of the other benchmarks we list. These are always marked with an asterisk (*), and while usually accurate shouldn't be taken as the complete truth.

  • Public benchmark data: We may supplement our dataset with scores from public OctaneBench, V-Ray Benchmark and Blender Benchmark websites. We cannot test every device available ourselves, so this gives us a nice alternative to get You the results you are looking for.

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