AMD FirePro S9000
About GPU
The AMD FirePro S9000 is a powerful GPU designed for desktop workstations, with a focus on delivering high performance for professional applications such as computer-aided design (CAD), content creation, and scientific simulations. With a memory size of 6GB and GDDR5 memory type, this GPU offers ample memory for handling large datasets and complex calculations. The memory clock speed of 1375MHz ensures fast data access and processing, while the 1792 shading units provide the computational power required for demanding workloads.
One of the standout features of the FirePro S9000 is its 3.226 TFLOPS theoretical performance, which allows it to tackle compute-intensive tasks with ease. This level of performance is crucial for professionals who rely on their GPU to deliver accurate and timely results.
In addition to its raw processing power, the FirePro S9000 also boasts a 225W TDP, which is on the higher end but is justified by the high performance it delivers. The 768KB L2 cache further enhances its ability to handle large datasets efficiently.
Overall, the AMD FirePro S9000 is a solid choice for professionals in need of a reliable and powerful GPU for their workstation. Its combination of high memory capacity, fast memory speed, and impressive computational performance make it well-suited for a wide range of professional applications. Whether you are working on complex engineering simulations or creating high-resolution content, the FirePro S9000 is up to the task.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2012
Model Name
FirePro S9000
Generation
FirePro
Bus Interface
PCIe 3.0 x16
Transistors
4,313 million
Compute Units
28
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.
112
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 1.0
Memory Specifications
Memory Size
6GB
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
1375MHz
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.
264.0 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.
28.80 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.
100.8 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.
806.4 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.
3.291
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
225W
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
OpenGL
4.6
DirectX
12 (11_1)
Power Connectors
1x 8-pin
Shader Model
5.1
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.
32
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
3.291
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS