AMD Radeon Pro W6900X
About GPU
The AMD Radeon Pro W6900X is a powerful GPU designed for professionals and content creators who require high performance for demanding workloads. With a base clock speed of 1825MHz and a boost clock speed of 2150MHz, the W6900X delivers impressive speed and responsiveness for graphics-intensive tasks.
One of the standout features of the W6900X is its substantial 32GB of GDDR6 memory, which ensures smooth and efficient handling of large datasets and complex visuals. The 2000MHz memory clock further enhances the GPU's ability to process and render high-resolution content with ease.
With 5120 shading units and a 4MB L2 cache, the W6900X is capable of handling complex rendering and visualization tasks with precision and accuracy. The GPU's 22.02 TFLOPS theoretical performance further solidifies its position as a top-tier solution for professionals working in industries such as 3D rendering, animation, and visual effects.
Additionally, the W6900X boasts a TDP of 300W, making it a power-efficient option for professionals looking to optimize energy consumption without sacrificing performance.
Overall, the AMD Radeon Pro W6900X is a high-performing GPU that offers exceptional speed, memory capacity, and processing power for professionals and content creators seeking a reliable and efficient solution for their demanding workloads.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2021
Model Name
Radeon Pro W6900X
Generation
Radeon Pro Mac
Base Clock
1825MHz
Boost Clock
2150MHz
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.
275.2 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.
688.0 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.
44.03 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.
1376 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.
21.58
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.
5120
L1 Cache
128 KB per Array
L2 Cache
4MB
TDP
300W
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
21.58
TFLOPS
Vulkan
Score
105424
OpenCL
Score
141178
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL