Home / GPU Comparison / NVIDIA RTX PRO 6000 or AMD Radeon PRO W7900: What's better?

NVIDIA RTX PRO 6000

vs

AMD Radeon PRO W7900

GPU Comparison Result

Below are the results of a comparison of NVIDIA RTX PRO 6000 and AMD Radeon PRO W7900 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA RTX PRO 6000

Larger Memory Size: 96GB (96GB vs 48GB)
More Shading Units: 24064 (24064 vs 6144)
Newer Launch Date: January 2025 (January 2025 vs April 2023)

AMD Radeon PRO W7900

Higher Boost Clock: 2495MHz (2407 MHz vs 2495MHz)
Higher Bandwidth: 864.0 GB/s (1.79TB/s vs 864.0 GB/s)

Basic

NVIDIA

Label Name

AMD

January 2025

Launch Date

April 2023

Desktop

Platform

Professional

RTX PRO 6000

Model Name

Radeon PRO W7900

Blackwell PRO

Generation

Radeon Pro Navi

2017 MHz

Base Clock

1855MHz

2407 MHz

Boost Clock

2495MHz

PCIe 5.0 x16

Bus Interface

PCIe 4.0 x16

92.2 billion

Transistors

57,700 million

188

RT Cores

Compute Units

752

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

752

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.

384

TSMC

Foundry

TSMC

5 nm

Process Size

5 nm

Blackwell 2.0

Architecture

RDNA 3.0

Memory Specifications

96GB

Memory Size

48GB

GDDR7

Memory Type

GDDR6

512bit

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.

384bit

1750 MHz

Memory Clock

2250MHz

1.79TB/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.

864.0 GB/s

Display and Media

4x DisplayPort 2.1b

Outputs

3x DisplayPort 2.1
1x mini-DisplayPort 2.1

Theoretical Performance

423.6 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.

479.0 GPixel/s

1810 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.

958.1 GTexel/s

115.8 TFLOPS

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.

122.6 TFLOPS

1.810 TFLOPS

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.

1.916 TFLOPS

118.116 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.

62.546 TFLOPS

Miscellaneous

188

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.

24064

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.

6144

128 KB (per SM)

L1 Cache

256 KB per Array

128 MB

L2 Cache

6MB

600W

TDP

295W

1.4

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

2.2

4.6

OpenGL

4.6

10.1

CUDA

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

1x 16-pin

Power Connectors

2x 8-pin

176

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.

192

6.8

Shader Model

6.7

1000 W

Suggested PSU

600W