AMD FireStream 9250
About GPU
The AMD FireStream 9250 GPU is a powerful graphics processing unit designed for desktop platforms with a focus on high-performance computing and data-intensive applications. With a memory size of 1024MB and GDDR3 memory type, this GPU offers fast and efficient data storage and retrieval for demanding workloads.
One of the standout features of the FireStream 9250 is its 800 shading units, which allow for complex calculations and rendering tasks to be processed with speed and accuracy. Additionally, the 256KB L2 cache further enhances the GPU's ability to handle large datasets and perform calculations efficiently.
In terms of power consumption, the FireStream 9250 has a TDP of 150W, making it a relatively power-hungry component. However, this is offset by its impressive theoretical performance of 1 TFLOPS, which ensures that it can tackle complex computational tasks with ease.
Overall, the AMD FireStream 9250 GPU is a solid choice for users who require high-performance computing capabilities for tasks such as scientific simulations, financial modeling, and other data-intensive applications. Its combination of large memory size, high shading unit count, and efficient memory type make it well-suited for handling a wide range of computational workloads.
In conclusion, the AMD FireStream 9250 GPU offers impressive performance and capabilities for desktop users who require a powerful GPU for high-performance computing tasks. While it may be relatively power-hungry, its high theoretical performance and robust memory features make it a strong contender in the GPU market.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2008
Model Name
FireStream 9250
Generation
FireStream
Bus Interface
PCIe 2.0 x16
Transistors
956 million
Compute Units
10
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.
40
Foundry
TSMC
Process Size
55 nm
Architecture
TeraScale
Memory Specifications
Memory Size
1024MB
Memory Type
GDDR3
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
993MHz
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.
63.55 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.
10.00 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.
25.00 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.
200.0 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.
1.02
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.
800
L1 Cache
16 KB (per CU)
L2 Cache
256KB
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.
N/A
OpenCL Version
1.1
OpenGL
3.3
DirectX
10.1 (10_1)
Power Connectors
1x 6-pin
Shader Model
4.1
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.
16
Suggested PSU
450W
Benchmarks
FP32 (float)
Score
1.02
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS