AMD Radeon PRO W7900
About GPU
The AMD Radeon PRO W7900 is a powerhouse GPU designed for professional use, offering outstanding performance and reliability for demanding workloads. With a base clock of 1855MHz and a boost clock of 2495MHz, this GPU delivers exceptional speed and responsiveness for graphics-intensive tasks.
With a massive 48GB of GDDR6 memory, the Radeon PRO W7900 is capable of handling large datasets and complex simulations with ease. The memory clock speed of 2250MHz ensures fast data access, while the 6144 shading units and 6MB of L2 cache contribute to smooth and efficient rendering of complex scenes.
The TDP of 295W reflects the GPU's high-performance capabilities, making it suitable for workstation environments where power is not a constraint. Additionally, the theoretical performance of 61.32 TFLOPS underscores the GPU's ability to tackle the most demanding computational workloads.
The Radeon PRO W7900 is an ideal choice for professionals working in fields such as content creation, engineering, scientific research, and data analysis. Its robust performance and extensive memory capacity make it well-suited for tasks such as 3D rendering, video editing, virtual reality development, and machine learning.
In conclusion, the AMD Radeon PRO W7900 GPU offers unparalleled performance and reliability for professional users, making it a top choice for those in need of a high-powered graphics solution. Its impressive specifications and robust design make it a valuable asset for demanding workloads across various industries.
Basic
Label Name
AMD
Platform
Professional
Launch Date
April 2023
Model Name
Radeon PRO W7900
Generation
Radeon Pro Navi
Base Clock
1855MHz
Boost Clock
2495MHz
Bus Interface
PCIe 4.0 x16
Transistors
57,700 million
RT Cores
96
Compute Units
96
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
Foundry
TSMC
Process Size
5 nm
Architecture
RDNA 3.0
Memory Specifications
Memory Size
48GB
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.
384bit
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.
864.0 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.
479.0 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.
958.1 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.
122.6 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
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
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
L1 Cache
256 KB per Array
L2 Cache
6MB
TDP
295W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
Power Connectors
2x 8-pin
Shader Model
6.7
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
Suggested PSU
600W
Benchmarks
FP32 (float)
Score
62.546
TFLOPS
Blender
Score
3547
Vulkan
Score
99529
OpenCL
Score
190608
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL