AMD FirePro S10000
About GPU
The AMD FirePro S10000 GPU is a powerful and efficient graphics processing unit designed for desktop platforms. With a base clock of 825MHz and a boost clock of 950MHz, this GPU offers impressive performance for a wide range of applications, including professional graphics and compute workloads.
With a memory size of 3GB and GDDR5 memory type, the FirePro S10000 is capable of handling large datasets and complex calculations with ease. The memory clock speed of 1250MHz ensures quick access to data, while the 1792 shading units provide ample processing power for rendering and visualization tasks.
One standout feature of the FirePro S10000 is its high theoretical performance of 3.405 TFLOPS, making it an excellent choice for demanding workloads such as scientific simulations, 3D rendering, and deep learning applications. Additionally, the 768KB L2 cache helps to reduce latency and improve overall system performance.
While the FirePro S10000 has a relatively high TDP of 375W, it offers excellent performance-per-watt ratio, making it an efficient choice for power-conscious users.
Overall, the AMD FirePro S10000 GPU is a solid choice for professionals and enthusiasts who require high-performance computing and graphics capabilities. Its impressive specifications and reliable performance make it a worthy investment for those in need of a reliable and powerful GPU for their desktop workstation.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
November 2012
Model Name
FirePro S10000
Generation
FirePro
Base Clock
825MHz
Boost Clock
950MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
3GB
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
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.
240.0 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.
30.40 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.
106.4 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.
851.2 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.
3.473
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
375W
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
3.473
TFLOPS
Vulkan
Score
34145
OpenCL
Score
30631
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL