AMD Radeon Pro W6800X Duo
The AMD Radeon Pro W6800X Duo GPU is a powerhouse for desktop workstations, offering exceptional performance and capabilities for professional grade workloads. With a base clock speed of 1800MHz and a boost clock of 1967MHz, this GPU delivers fast and reliable performance for demanding tasks.
One of the standout features of the Radeon Pro W6800X Duo is its massive 32GB of GDDR6 memory, providing ample space for large datasets and complex simulations. The memory clock speed of 2000MHz ensures quick access to data, further enhancing the GPU's performance capabilities.
With 3840 shading units and 4MB of L2 cache, the W6800X Duo is capable of handling complex rendering and visual processing tasks with ease. Its high TDP of 400W may require robust cooling solutions, but it also allows the GPU to maintain high performance levels under heavy workloads.
The theoretical performance of 15.11 TFLOPS showcases the raw computational power of this GPU, making it suitable for demanding tasks such as 3D rendering, video editing, and simulation workloads. Its capabilities make it a strong contender for professional content creation and design work.
Overall, the AMD Radeon Pro W6800X Duo GPU is a high-performance option for professionals in need of robust computing power. Its impressive specifications, including large memory capacity and high theoretical performance, make it a valuable asset for content creators, designers, and other professionals working with complex visual and computational tasks.
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Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2021
Model Name
Radeon Pro W6800X Duo
Generation
Radeon Pro Mac
Base Clock
1800MHz
Boost Clock
1967MHz
Bus Interface
Apple MPX
Transistors
26,800 million
RT Cores
60
Compute Units
60
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.
240
Foundry
TSMC
Process Size
7 nm
Architecture
RDNA 2.0
Memory Specifications
Memory Size
32GB
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
2000MHz
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.
512.0 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.
188.8 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.
472.1 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.
30.21 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.
944.2 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.
15.412
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.
3840
L1 Cache
128 KB per Array
L2 Cache
4MB
TDP
400W
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
2.1
OpenGL
4.6
DirectX
12 Ultimate (12_2)
Power Connectors
None
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.
96
Suggested PSU
800W
Benchmarks
FP32 (float)
Score
15.412
TFLOPS
Blender
Score
1436
OpenCL
Score
113306
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OpenCL