AMD FirePro S9050

AMD FirePro S9050

About GPU

The AMD FirePro S9050 GPU is a high-performance graphics card designed for professional workloads in fields such as content creation, engineering, and scientific computing. With its impressive specs, it delivers exceptional computing power and memory capacity to handle demanding tasks with ease. With a massive 12GB of GDDR5 memory and a memory clock speed of 1375MHz, the FirePro S9050 offers ample memory bandwidth for handling large datasets and complex simulations. Its 1792 shading units and 768KB L2 cache contribute to its ability to process graphics and compute-intensive workloads efficiently. The GPU's TDP of 225W may be on the higher side, but it's a justified tradeoff for the performance it delivers. In terms of theoretical performance, the FirePro S9050 boasts an impressive 3.226 TFLOPS, making it suitable for tasks that demand high computational power. The FirePro S9050 is well-suited for desktop workstations, where its capabilities can be fully utilized to accelerate professional applications. It's ideal for professionals who require a GPU that can handle demanding workloads such as 3D rendering, CAD/CAE simulations, and complex mathematical computations. Overall, the AMD FirePro S9050 GPU is a powerhouse graphics card that offers the performance and memory capacity required for professional workloads. Its impressive specifications and high theoretical performance make it a compelling choice for professionals in need of a reliable and powerful GPU for their work.

Basic

Label Name
AMD
Platform
Desktop
Launch Date
August 2014
Model Name
FirePro S9050
Generation
FirePro
Bus Interface
PCIe 3.0 x16

Memory Specifications

Memory Size
12GB
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.
384bit
Memory Clock
1375MHz
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.
264.0 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.
28.80 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.
100.8 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.
806.4 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.
3.161 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.
1792
L1 Cache
16 KB (per CU)
L2 Cache
768KB
TDP
225W
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
1.2

Benchmarks

FP32 (float)
Score
3.161 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
3.196 +1.1%
3.193 +1%
3.136 -0.8%
3.133 -0.9%