AMD Radeon Pro W6800X
About GPU
The AMD Radeon Pro W6800X GPU is a powerful and advanced graphics card designed specifically for desktop use. With a base clock speed of 1800MHz and a boost clock speed of 2087MHz, this GPU offers fast and responsive performance for demanding tasks such as 3D rendering, video editing, and gaming.
One of the standout features of the Radeon Pro W6800X is its impressive 32GB of GDDR6 memory, allowing for seamless multitasking and smooth rendering of complex graphics and visual effects. The high memory clock speed of 2000MHz further enhances the GPU's ability to handle large and complex datasets with ease.
With 3840 shading units and a 4MB L2 cache, the W6800X delivers exceptional rendering capabilities and supports high-fidelity visuals for professional applications. Additionally, the GPU's 200W TDP ensures efficient power consumption without sacrificing performance.
In terms of raw power, the Radeon Pro W6800X boasts a theoretical performance of 16.03 TFLOPS, making it a top contender for professionals in the creative and design industries who require cutting-edge graphics performance.
Overall, the AMD Radeon Pro W6800X GPU is a formidable option for desktop users who demand high-performance graphics capabilities for content creation, 3D modeling, and gaming. Its impressive memory size, fast clock speeds, and efficient power consumption make it a compelling choice for professionals and enthusiasts alike.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2021
Model Name
Radeon Pro W6800X
Generation
Radeon Pro Mac
Base Clock
1800MHz
Boost Clock
2087MHz
Bus Interface
Apple MPX
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.
200.4 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.
500.9 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.
32.06 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.
1002 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.
15.709
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
200W
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
Benchmarks
FP32 (float)
Score
15.709
TFLOPS
Blender
Score
1507
OpenCL
Score
121443
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OpenCL