AMD FirePro S9300 X2
About GPU
The AMD FirePro S9300 X2 GPU is a powerful and efficient desktop graphics processing unit designed for high-performance computing and data-intensive tasks. With 4GB of memory size and HBM memory type, this GPU is capable of handling large datasets and complex calculations with ease. The 500MHz memory clock ensures fast and reliable data transfer, while the 4096 shading units deliver impressive parallel processing capabilities.
One of the standout features of the FirePro S9300 X2 is its 2MB L2 cache, which helps to reduce latency and improve overall performance when dealing with large-scale computations. This, coupled with a TDP of 300W, makes it a suitable choice for professional and enterprise applications where reliability and efficiency are crucial.
In terms of raw computing power, the FirePro S9300 X2 boasts a theoretical performance of 7.987 TFLOPS, making it well-suited for high-performance computing tasks such as machine learning, scientific simulations, and financial modeling.
While this GPU is not specifically designed for gaming, its impressive technical specifications make it a solid choice for professionals seeking a reliable and high-performance solution for their compute-heavy workloads.
Overall, the AMD FirePro S9300 X2 GPU is a powerhouse for data-intensive tasks, offering a balance of high-performance computing capabilities, efficient power consumption, and reliable operation. It is an excellent choice for professionals and enterprises in need of a robust GPU for demanding workloads.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
March 2016
Model Name
FirePro S9300 X2
Generation
FirePro
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
Memory Type
HBM
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.
4096bit
Memory Clock
500MHz
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.
62.40 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.
249.6 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.
499.2 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.
7.827
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.
4096
L1 Cache
16 KB (per CU)
L2 Cache
2MB
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.
1.2
OpenCL Version
2.0
Benchmarks
FP32 (float)
Score
7.827
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS