AMD Radeon E9260 MXM
About GPU
The AMD Radeon E9260 MXM GPU is a powerful and efficient mobile graphics solution suitable for a variety of applications. With a base clock speed of 1090MHz and a boost clock speed of 1200MHz, this GPU offers impressive performance for demanding tasks such as gaming, content creation, and professional graphics work.
The 4GB of GDDR5 memory combined with a memory clock speed of 1750MHz ensures smooth and lag-free operation, even when handling large and complex datasets. The 896 shading units and 1024KB L2 cache further enhance the GPU's ability to handle intense graphical workloads.
One of the standout features of the AMD Radeon E9260 MXM GPU is its low TDP of 50W, making it an energy-efficient option for mobile devices such as laptops and compact desktop systems. Despite its low power requirements, this GPU still manages to deliver impressive theoretical performance of 2.15 TFLOPS, making it well-suited for a wide range of tasks.
Overall, the AMD Radeon E9260 MXM GPU offers a compelling combination of performance, efficiency, and versatility. Whether you're a gamer looking for smooth and immersive graphics, a content creator working with high-resolution media, or a professional in need of reliable and powerful graphics processing, this GPU is worth considering for your next mobile computing solution.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
September 2016
Model Name
Radeon E9260 MXM
Generation
Embedded
Base Clock
1090MHz
Boost Clock
1200MHz
Bus Interface
MXM-A (3.0)
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.
128bit
Memory Clock
1750MHz
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.
112.0 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.
19.20 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.
57.60 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.
2.150 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.
134.4 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.
2.193
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.
896
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
50W
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
2.193
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS