Nvidia RTX 500 Ada Generation Mobile vs Quadro P2200

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Aggregate performance score

We've compared Quadro P2200 with RTX 500 Ada Generation Mobile, including specs and performance data.

Quadro P2200
2019
5 GB GDDR5X, 75 Watt
24.16
Nvidia RTX 500 Ada Generation Mobile
2024
4 GB GDDR6, 35 Watt
27.26
+12.8%

Nvidia RTX 500 Ada Generation Mobile outperforms P2200 by a moderate 13% based on our aggregate benchmark results.

Primary details

GPU architecture, market segment, value for money and other general parameters compared.

Place in the ranking230200
Place by popularitynot in top-100not in top-100
Power efficiency22.4554.29
ArchitecturePascal (2016−2021)Ada Lovelace (2022−2024)
GPU code nameGP106AD107
Market segmentWorkstationMobile workstation
Release date10 June 2019 (5 years ago)26 February 2024 (less than a year ago)

Detailed specifications

General parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.

Pipelines / CUDA cores12802048
Core clock speed1000 MHz1485 MHz
Boost clock speed1493 MHz2025 MHz
Number of transistors4,400 million18,900 million
Manufacturing process technology16 nm5 nm
Power consumption (TDP)75 Watt35 Watt
Texture fill rate119.4129.6
Floating-point processing power3.822 TFLOPS8.294 TFLOPS
ROPs4032
TMUs8064
Tensor Coresno data64
Ray Tracing Coresno data16

Form factor & compatibility

Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).

Laptop sizeno datamedium sized
InterfacePCIe 3.0 x16PCIe 4.0 x8
Length201 mmno data
Width1-slotno data
Supplementary power connectorsNoneno data

VRAM capacity and type

Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.

Memory typeGDDR5XGDDR6
Maximum RAM amount5 GB4 GB
Memory bus width160 Bit64 Bit
Memory clock speed1251 MHz2000 MHz
Memory bandwidth200.2 GB/s128.0 GB/s
Shared memory--

Connectivity and outputs

Types and number of video connectors present on the reviewed GPUs. As a rule, data in this section is precise only for desktop reference ones (so-called Founders Edition for NVIDIA chips). OEM manufacturers may change the number and type of output ports, while for notebook cards availability of certain video outputs ports depends on the laptop model rather than on the card itself.

Display Connectors4x DisplayPortPortable Device Dependent

API compatibility

List of supported 3D and general-purpose computing APIs, including their specific versions.

DirectX12 (12_1)12 Ultimate (12_2)
Shader Model6.46.8
OpenGL4.64.6
OpenCL1.23.0
Vulkan1.2.1311.3
CUDA6.18.9

Gaming performance

Let's see how good the compared graphics cards are for gaming. Particular gaming benchmark results are measured in FPS.

Pros & cons summary


Performance score 24.16 27.26
Recency 10 June 2019 26 February 2024
Maximum RAM amount 5 GB 4 GB
Chip lithography 16 nm 5 nm
Power consumption (TDP) 75 Watt 35 Watt

Quadro P2200 has a 25% higher maximum VRAM amount.

Nvidia RTX 500 Ada Generation Mobile, on the other hand, has a 12.8% higher aggregate performance score, an age advantage of 4 years, a 220% more advanced lithography process, and 114.3% lower power consumption.

The RTX 500 Ada Generation Mobile is our recommended choice as it beats the Quadro P2200 in performance tests.

Be aware that Quadro P2200 is a workstation card while RTX 500 Ada Generation Mobile is a mobile workstation one.


Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.

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NVIDIA Quadro P2200
Quadro P2200
Nvidia RTX 500 Ada Generation Mobile
RTX 500 Ada Generation Mobile

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Community ratings

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Questions & comments

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