AMD Radeon E9260 PCIe
About GPU
The AMD Radeon E9260 PCIe GPU is a reliable and powerful graphics processing unit designed for mobile platforms. With a base clock of 1090MHz and a boost clock of 1200MHz, this GPU offers impressive speed and performance for a wide range of applications, including gaming, content creation, and professional workflows.
Equipped with 4GB of GDDR5 memory and a memory clock of 1750MHz, the Radeon E9260 provides ample memory bandwidth for handling large datasets and high-resolution textures. The 896 shading units and 1024KB of L2 cache further enhance the GPU's capabilities, allowing for efficient parallel processing and improved overall performance.
Despite its high performance, the Radeon E9260 maintains a relatively low TDP of 80W, making it an efficient choice for mobile devices and small form factor systems. This balance of power and efficiency makes it well-suited for a variety of use cases, from thin and light laptops to compact workstations.
With a theoretical performance of 2.15 TFLOPS, the AMD Radeon E9260 PCIe GPU delivers excellent graphics rendering and computational power. Whether you are a professional in need of a reliable GPU for demanding workloads or a gamer looking for a smooth and immersive gaming experience, the Radeon E9260 is a solid choice that offers a great balance of performance, power efficiency, and value. Overall, the AMD Radeon E9260 PCIe GPU is a versatile and capable graphics solution that delivers exceptional performance for mobile platforms.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
September 2016
Model Name
Radeon E9260 PCIe
Generation
Embedded
Base Clock
1090MHz
Boost Clock
1200MHz
Bus Interface
PCIe 3.0 x8
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
80W
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.
1.3
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
2.193
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS