AMD FirePro S7150
About GPU
The AMD FirePro S7150 is a powerful and reliable GPU designed for desktop use. With a generous 8GB of GDDR5 memory, it offers smooth and efficient performance for a variety of tasks, from graphic design to gaming. The 1250MHz memory clock ensures quick and responsive operation, while the 2048 shading units enable high-quality rendering and visualization.
One notable feature of the FirePro S7150 is its 512KB L2 cache, which helps to reduce latency and improve overall system responsiveness. With a thermal design power (TDP) of 150W, it strikes a good balance between performance and energy efficiency, making it suitable for a range of desktop setups.
The theoretical performance of 3.768 TFLOPS demonstrates the GPU's ability to handle demanding workloads and complex calculations with ease. This makes it a great choice for professionals who rely on high-performance graphics for their daily tasks.
Overall, the AMD FirePro S7150 is a solid choice for anyone in need of a capable and dependable GPU for their desktop system. Its ample memory, efficient design, and impressive performance make it a great option for a variety of applications. Whether you're a professional content creator, a gamer, or simply in need of a powerful GPU for your desktop setup, the FirePro S7150 is definitely worth considering.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
February 2016
Model Name
FirePro S7150
Generation
FirePro
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.
117.8 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.
7.537 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.
235.5 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.
3.693
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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
150W
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
3.693
TFLOPS
Vulkan
Score
33575
OpenCL
Score
29623
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL