Home / GPU Comparison / NVIDIA Quadro P2000 or AMD Radeon RX 6600 XT: What's better?

NVIDIA Quadro P2000

vs

AMD Radeon RX 6600 XT

GPU Comparison Result

Below are the results of a comparison of NVIDIA Quadro P2000 and AMD Radeon RX 6600 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 6600 XT

Higher Boost Clock: 2589MHz (1480MHz vs 2589MHz)
Larger Memory Size: 8GB (5GB vs 8GB)
Higher Bandwidth: 256.0 GB/s (140.2 GB/s vs 256.0 GB/s)
More Shading Units: 2048 (1024 vs 2048)
Newer Launch Date: July 2021 (February 2017 vs July 2021)

Basic

NVIDIA

Label Name

AMD

February 2017

Launch Date

July 2021

Professional

Platform

Desktop

Quadro P2000

Model Name

Radeon RX 6600 XT

Quadro

Generation

Navi II

1076MHz

Base Clock

1968MHz

1480MHz

Boost Clock

2589MHz

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x8

Transistors

11,060 million

RT Cores

Compute Units

TMUs

Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.

128

Foundry

TSMC

Process Size

7 nm

Architecture

RDNA 2.0

Memory Specifications

5GB

Memory Size

8GB

GDDR5

Memory Type

GDDR6

160bit

Memory Bus

The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.

128bit

1752MHz

Memory Clock

2000MHz

140.2 GB/s

Bandwidth

Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.

256.0 GB/s

Display and Media

Outputs

1x HDMI 2.1
3x DisplayPort 1.4a

Theoretical Performance

59.20 GPixel/s

Pixel Rate

Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.

165.7 GPixel/s

94.72 GTexel/s

Texture Rate

Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.

331.4 GTexel/s

47.36 GFLOPS

FP16 (half)

An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.

21.21 TFLOPS

94.72 GFLOPS

FP64 (double)

An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

662.8 GFLOPS

3.092 TFLOPS

FP32 (float)

An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

10.812 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

1024

Shading Units

The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.

2048

48 KB (per SM)

L1 Cache

128 KB per Array

1280KB

L2 Cache

2MB

75W

TDP

160W

1.3

Vulkan Version

Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.

1.3

3.0

OpenCL Version

2.1

OpenGL

4.6

DirectX

12 Ultimate (12_2)

Power Connectors

1x 8-pin

ROPs

The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.

Shader Model

6.7

Suggested PSU

450W