AMD FirePro W9100
About GPU
The AMD FirePro W9100 GPU is a powerhouse when it comes to professional-grade graphic rendering and compute workloads. With a massive 16GB of GDDR5 memory and a memory clock of 1250MHz, this GPU is designed to handle the most demanding tasks with ease.
The 2816 shading units and 1024KB L2 cache ensure that the W9100 can handle complex calculations and rendering processes efficiently, making it an ideal choice for professionals working in fields such as 3D rendering, CAD design, and scientific simulations.
In terms of performance, the W9100 boasts a theoretical performance of 5.238 TFLOPS, making it one of the most powerful GPUs in its class. This level of performance is essential for professionals who rely on their GPUs to deliver fast and accurate results, whether they are working on complex visualizations or running resource-intensive simulations.
It's worth noting that this GPU has a TDP of 275W, so users will need to ensure that they have a suitable power supply to accommodate its power requirements.
In conclusion, the AMD FirePro W9100 GPU is an exceptional choice for professionals who require a high-performance, reliable, and efficient GPU for their demanding workloads. Its impressive specs, including the large memory size, high memory clock, and abundance of shading units, make it a top contender in the professional GPU market. Whether you're a 3D artist, engineer, or scientist, the W9100 has the power and capabilities to handle your most challenging tasks with ease.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
March 2014
Model Name
FirePro W9100
Generation
FirePro
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
16GB
Memory Type
GDDR5
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.
512bit
Memory Clock
1250MHz
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.
320.0 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.
59.52 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.
163.7 GTexel/s
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.
2.619 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.
5.133
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.
2816
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
275W
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.
1.2
OpenCL Version
2.0
Benchmarks
FP32 (float)
Score
5.133
TFLOPS
OpenCL
Score
43046
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL