AMD Radeon Pro W6800
About GPU
The AMD Radeon Pro W6800 is a powerful and reliable GPU designed for desktop use. With a base clock of 2075MHz and a boost clock of 2320MHz, this GPU offers high performance for demanding tasks such as 3D rendering, video editing, and gaming. The impressive 32GB of GDDR6 memory and a memory clock of 2000MHz ensure smooth and fast operation, even when handling large and complex datasets.
With 3840 shading units and 4MB of L2 Cache, the W6800 delivers outstanding graphics rendering capabilities, making it an ideal choice for professionals in fields such as architecture, engineering, and content creation. The GPU's TDP of 250W and theoretical performance of 17.82 TFLOPS further highlight its ability to handle intensive workloads with ease.
In addition to its technical specifications, the AMD Radeon Pro W6800 is also equipped with advanced features such as AMD Infinity Cache, AMD Smart Access Memory, and support for real-time hardware-accelerated ray tracing. These features contribute to the GPU's overall capabilities and provide users with a seamless and efficient workflow.
Overall, the AMD Radeon Pro W6800 is a top-of-the-line GPU that offers exceptional performance, reliability, and advanced features for professionals in need of a high-powered graphics solution. Whether you're working on complex visual projects or engaging in immersive gaming experiences, the W6800 is well-equipped to meet your needs and elevate your workflow.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2021
Model Name
Radeon Pro W6800
Generation
Radeon Pro
Base Clock
2075MHz
Boost Clock
2320MHz
Bus Interface
PCIe 4.0 x16
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.
222.7 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.
556.8 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.
35.64 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.
1114 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.
18.176
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
250W
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
18.176
TFLOPS
Blender
Score
1817
Vulkan
Score
125665
OpenCL
Score
131309
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL