AMD FireStream 9370
About GPU
The AMD FireStream 9370 is a powerful GPU designed for desktop computing that offers impressive performance and efficiency. With a generous 4GB GDDR5 memory size and a memory clock speed of 1150MHz, this GPU is capable of handling demanding workloads and delivering high-quality graphics. Its 1600 shading units and 512KB L2 cache contribute to its overall impressive performance, allowing for smooth and fluid rendering of complex visuals.
One of the standout features of the FireStream 9370 is its excellent theoretical performance of 2.64 TFLOPS, making it ideal for heavy computational tasks and data processing. This makes it a great choice for professional applications such as scientific simulations, financial modeling, and medical imaging, where high processing power is crucial.
Despite its powerful performance, the FireStream 9370 also manages to be energy efficient with a TDP of 225W, making it a great option for users looking to minimize power consumption without sacrificing performance.
Overall, the AMD FireStream 9370 is a top-of-the-line GPU that offers exceptional performance, impressive memory size, and efficient power consumption. It is well-suited for professionals and enthusiasts who require a high-performance GPU for demanding workloads and can benefit from its advanced computational power and graphics capabilities.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2010
Model Name
FireStream 9370
Generation
FireStream
Bus Interface
PCIe 2.0 x16
Memory Specifications
Memory Size
4GB
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
1150MHz
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.
147.2 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.
26.40 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.
66.00 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.
528.0 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.
2.693
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.
1600
L1 Cache
8 KB (per CU)
L2 Cache
512KB
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.
N/A
OpenCL Version
1.2
Benchmarks
FP32 (float)
Score
2.693
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS