AMD Radeon E9550 MXM
About GPU
The AMD Radeon E9550 MXM GPU is a powerful mobile graphics processing unit that offers impressive performance for gaming, content creation, and other demanding tasks. With a base clock speed of 1120MHz and a boost clock speed of 1266MHz, this GPU delivers smooth and responsive graphics rendering, even when running graphically intensive applications.
One of the most noteworthy features of the AMD Radeon E9550 MXM GPU is its 8GB of GDDR5 memory, which provides ample resources for storing and accessing textures, models, and other graphics data. Coupled with a memory clock speed of 1250MHz, this GPU is capable of handling large and complex scenes without running out of memory.
With 2304 shading units and 2MB of L2 cache, the AMD Radeon E9550 MXM GPU is able to efficiently process a large number of calculations in parallel, resulting in fast and fluid graphics performance. Additionally, with a TDP of 95W, this GPU strikes a good balance between power consumption and performance, making it well-suited for use in mobile devices.
Overall, the AMD Radeon E9550 MXM GPU offers impressive theoretical performance, with a calculated peak performance of 5.834 TFLOPS. This makes it a great choice for users who demand high levels of performance from their mobile graphics solution. Whether you're a gamer, content creator, or professional in need of powerful mobile graphics, the AMD Radeon E9550 MXM GPU is certainly worth considering.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
September 2016
Model Name
Radeon E9550 MXM
Generation
Embedded
Base Clock
1120MHz
Boost Clock
1266MHz
Bus Interface
MXM-B (3.0)
Memory Specifications
Memory Size
8GB
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
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.
160.0 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.
40.51 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.
182.3 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. 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.
5.834 TFLOPS
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.
364.6 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.
5.951
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.
2304
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
95W
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
2.1
Benchmarks
FP32 (float)
Score
5.951
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS