AMD FirePro S9150
The AMD FirePro S9150 GPU is a powerful and high-performance graphics card designed for professional applications. With a massive 16GB of GDDR5 memory, this GPU can handle large and complex datasets with ease, making it ideal for compute-intensive tasks such as scientific simulations, seismic processing, and deep learning.
The 2816 shading units and 1024KB L2 cache deliver impressive parallel processing capabilities, allowing the FirePro S9150 to handle multiple complex tasks simultaneously. The 1250MHz memory clock ensures fast and efficient data access, further enhancing the card's overall performance.
With a TDP of 235W, the FirePro S9150 is a power-hungry GPU that requires a robust cooling solution to maintain optimal operating temperatures. However, the theoretical performance of 5.069 TFLOPS more than justifies the power consumption, as it delivers exceptional computational power for demanding workloads.
In terms of compatibility and usability, the FirePro S9150 is designed for desktop platforms and is compatible with a wide range of professional software applications. Its large memory size and high memory bandwidth make it suitable for tasks that require significant memory resources, such as complex simulations and data analysis.
Overall, the AMD FirePro S9150 GPU is a high-performance graphics card that is well-suited for professional applications that require substantial computational power and memory resources. Its impressive theoretical performance and large memory size make it a compelling choice for professionals in fields such as scientific research, engineering, and content creation.
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Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2014
Model Name
FirePro S9150
Generation
FirePro
Bus Interface
PCIe 3.0 x16
Transistors
6,200 million
Compute Units
44
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
176
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 2.0
Memory Specifications
Memory Size
16GB
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.
57.60 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.
158.4 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.
2.534 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.
4.968
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
235W
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
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
1x 6-pin + 1x 8-pin
Shader Model
6.3
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
4.968
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS