AMD FirePro S7150 x2
About GPU
The AMD FirePro S7150 x2 is a powerful and high-performance GPU designed for desktop workstations. With a generous 8GB of GDDR5 memory and a memory clock speed of 1250MHz, this GPU is capable of delivering smooth and seamless graphics performance for a variety of professional applications and workloads.
The FirePro S7150 x2 features 1792 shading units and a 512KB L2 cache, allowing it to efficiently handle complex rendering and computation tasks. With a TDP of 265W, this GPU is well-suited for demanding workloads and can easily handle multi-threaded and multi-tasking workflows.
One of the standout features of the FirePro S7150 x2 is its theoretical performance of 3.297 TFLOPS. This level of performance makes it an excellent choice for tasks such as 3D modeling, rendering, virtualization, and content creation. The GPU's high level of performance and memory capacity also make it suitable for virtual desktop infrastructure (VDI) and server-based graphics applications.
Overall, the AMD FirePro S7150 x2 is a top-of-the-line GPU that offers exceptional performance and reliability for professional users. Its combination of high memory capacity, fast memory clock, and efficient shading units make it an excellent choice for demanding workstation applications. Whether used for content creation, virtualization, or server-based graphics, the FirePro S7150 x2 delivers the performance and reliability that professional users demand.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
February 2016
Model Name
FirePro S7150 x2
Generation
FirePro Server
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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.
256bit
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.
160.0 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.
29.44 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.
103.0 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. 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.
3.297 TFLOPS
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.
206.1 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.
3.363
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
512KB
TDP
265W
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.
1.2.170
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
3.363
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS