AMD FirePro S9170
About GPU
The AMD FirePro S9170 is a powerful GPU designed for high-performance computing and professional workloads. With a massive 32GB of GDDR5 memory, this desktop platform GPU is well-equipped to handle demanding tasks such as scientific computing, rendering, and complex simulations.
The 2816 shading units and 1024KB of L2 cache contribute to the GPU's impressive performance, allowing for efficient processing of complex calculations and data sets. The 1250MHz memory clock further enhances the speed and responsiveness of the GPU, making it well-suited for compute-intensive applications.
One of the standout features of the AMD FirePro S9170 is its high theoretical performance of 5.238 TFLOPS, showcasing its ability to deliver exceptional floating-point performance. This makes it an ideal choice for professionals and researchers who depend on fast and reliable processing power for their work.
In terms of power consumption, the GPU has a TDP of 275W, which is expected for a high-end workstation GPU. While this may require adequate cooling and power supply considerations, it is a reasonable trade-off for the level of performance it offers.
Overall, the AMD FirePro S9170 is a top-of-the-line GPU that delivers outstanding performance for professional and scientific applications. Its generous memory size, high theoretical performance, and efficient processing capabilities make it a valuable asset for users who require uncompromising computing power.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
July 2015
Model Name
FirePro S9170
Generation
FirePro
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
32GB
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.
5.343
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
5.343
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS