AMD FireStream 9350
About GPU
The AMD FireStream 9350 GPU is a powerful and efficient graphics processing unit designed for desktop use. With a memory size of 2GB and a memory type of GDDR5, this GPU offers fast and reliable performance for a variety of computing tasks. The 1000MHz memory clock ensures quick data access and processing, while the 1440 shading units and 512KB L2 cache contribute to the overall speed and responsiveness of the GPU.
One of the standout features of the AMD FireStream 9350 is its impressive theoretical performance of 2.016 TFLOPS, making it well-suited for demanding computational workloads such as data analysis, scientific simulations, and machine learning. Additionally, with a TDP of 150W, this GPU strikes a good balance between performance and power consumption, making it suitable for a range of desktop systems.
The AMD FireStream 9350 is an excellent choice for professionals and enthusiasts who require a high-performance GPU for their computing needs. Whether you are a researcher performing complex simulations, a content creator working on graphics-intensive projects, or a gamer looking for smooth and immersive gaming experiences, this GPU can meet your requirements.
In conclusion, the AMD FireStream 9350 GPU offers a compelling combination of performance, efficiency, and versatility, making it a strong contender in the desktop GPU market. Its robust specs and reliable performance make it a worthy investment for anyone in need of a powerful graphics processing unit.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2010
Model Name
FireStream 9350
Generation
FireStream
Bus Interface
PCIe 2.0 x16
Memory Specifications
Memory Size
2GB
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
1000MHz
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.
128.0 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.
22.40 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.
50.40 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.
403.2 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.
1.976
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.
1440
L1 Cache
8 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.
N/A
OpenCL Version
1.2
Benchmarks
FP32 (float)
Score
1.976
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS