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AMD Radeon PRO W7500

About GPU

The AMD Radeon PRO W7500 GPU is a powerful and efficient graphics card designed for desktop use. With a base clock of 1500MHz and a boost clock of 1700MHz, this GPU is capable of handling demanding graphics tasks with ease. The 8GB of GDDR6 memory and a memory clock of 1344MHz ensure smooth and lag-free performance even when working with large files or running resource-intensive applications. With 1792 shading units and 2MB of L2 cache, the Radeon PRO W7500 delivers impressive visual quality and detail, making it an excellent choice for professionals working in industries such as architecture, engineering, and design. The GPU has a TDP of 70W, making it energy efficient and ideal for use in workstations or desktop PCs. In terms of performance, the Radeon PRO W7500 is no slouch, boasting a theoretical performance of 12.19 TFLOPS. This makes it suitable for a wide range of professional tasks, including 3D rendering, video editing, and graphic design. Overall, the AMD Radeon PRO W7500 GPU offers a compelling combination of power, efficiency, and performance. Its impressive specs and feature set make it a top choice for professionals who require reliable and high-performance graphics capabilities. Whether you're a content creator, designer, or engineer, the Radeon PRO W7500 is a solid investment for your workstation.

Basic

Label Name

AMD

Platform

Desktop

Launch Date

August 2023

Model Name

Radeon PRO W7500

Generation

Radeon Pro Navi

Base Clock

1500MHz

Boost Clock

1700MHz

Bus Interface

PCIe 4.0 x8

Memory Specifications

Memory Size

8GB

Memory Type

GDDR6

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

Memory Clock

1344MHz

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.

172.0 GB/s

Theoretical Performance

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.

108.8 GPixel/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.

190.4 GTexel/s

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.

24.37 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.

380.8 GFLOPS

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.

11.946 TFLOPS

Miscellaneous

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.

1792

L1 Cache

128 KB per Array

L2 Cache

2MB

TDP

70W

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

OpenCL Version

2.2