Home / AMD / AMD Radeon PRO W7700: Performance and Specs

AMD Radeon PRO W7700

About GPU

The AMD Radeon PRO W7700 GPU is a powerful and high-performance graphics processing unit designed for professional desktop workstations. With a base clock speed of 1900MHz and a boost clock speed of 2600MHz, this GPU is capable of delivering exceptional performance for demanding tasks such as 3D rendering, video editing, and computer-aided design. One of the standout features of the Radeon PRO W7700 is its large 16GB of GDDR6 memory, which provides ample capacity for handling complex and memory-intensive workloads. The memory clock speed of 2250MHz ensures fast and responsive performance, while the 3072 shading units and 2MB of L2 cache contribute to smooth and efficient operation. With a TDP of 190W, the Radeon PRO W7700 strikes a good balance between performance and power efficiency, making it a suitable choice for professional workstations where power consumption is a consideration. In terms of theoretical performance, the Radeon PRO W7700 is capable of delivering an impressive 31.95 TFLOPS, ensuring that it can handle even the most demanding professional workloads with ease. Overall, the AMD Radeon PRO W7700 GPU is a top-tier choice for professionals in need of a high-performance and reliable graphics solution for their desktop workstations. Its robust specifications and impressive performance make it well-suited for a wide range of professional applications, making it a standout option in the professional GPU market.

Basic

Label Name

AMD

Platform

Desktop

Launch Date

November 2023

Model Name

Radeon PRO W7700

Generation

Radeon Pro Navi

Base Clock

1900MHz

Boost Clock

2600MHz

Bus Interface

PCIe 4.0 x16

Memory Specifications

Memory Size

16GB

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.

256bit

Memory Clock

2250MHz

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.

576.0 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.

249.6 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.

499.2 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.

63.90 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.

998.4 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.

31.311 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.

3072

L1 Cache

128 KB per Array

L2 Cache

2MB

TDP

190W

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