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

AMD Radeon PRO W7900

vs

NVIDIA RTX 6000D

GPU Comparison Result

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

Advantages

AMD Radeon PRO W7900

Higher Boost Clock: 2495MHz (2495MHz vs 2430 MHz)
Higher Bandwidth: 864.0 GB/s (864.0 GB/s vs 1.57TB/s)

NVIDIA RTX 6000D

Larger Memory Size: 84GB (48GB vs 84GB)
More Shading Units: 19968 (6144 vs 19968)
Newer Launch Date: March 2025 (April 2023 vs March 2025)

Basic

AMD

Label Name

NVIDIA

April 2023

Launch Date

March 2025

Professional

Platform

Desktop

Radeon PRO W7900

Model Name

RTX 6000D

Radeon Pro Navi

Generation

Blackwell PRO W

1855MHz

Base Clock

1590 MHz

2495MHz

Boost Clock

2430 MHz

PCIe 4.0 x16

Bus Interface

PCIe 5.0 x16

57,700 million

Transistors

92.2 billion

RT Cores

156

Compute Units

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.

624

384

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.

624

TSMC

Foundry

TSMC

5 nm

Process Size

5 nm

RDNA 3.0

Architecture

Blackwell 2.0

Memory Specifications

48GB

Memory Size

84GB

GDDR6

Memory Type

GDDR7

384bit

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.

448bit

2250MHz

Memory Clock

1750 MHz

864.0 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.

1.57TB/s

Display and Media

3x DisplayPort 2.1
1x mini-DisplayPort 2.1

Outputs

4x DisplayPort 2.1b

Theoretical Performance

479.0 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.

466.6 GPixel/s

958.1 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.

1516.3 GTexel/s

122.6 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.

97.04 TFLOPS

1.916 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.

1.516 TFLOPS

62.546 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.

95.099 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.

156

6144

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.

19968

256 KB per Array

L1 Cache

128 KB (per SM)

6MB

L2 Cache

128 MB

295W

TDP

600W

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.

1.4

2.2

OpenCL Version

3.0

4.6

OpenGL

4.6

CUDA

12.0

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

2x 8-pin

Power Connectors

1x 16-pin

192

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

6.7

Shader Model

6.8

600W

Suggested PSU

1000 W