AMD Radeon E9560 PCIe
About GPU
The AMD Radeon E9560 PCIe GPU is a solid choice for mobile platforms, with impressive specs that make it a powerful option for a variety of tasks. With a base clock speed of 1120MHz, and a boost clock of 1237MHz, the E9560 is capable of handling even the most demanding applications with ease. The 8GB of GDDR5 memory and a memory clock of 1750MHz ensure that the GPU can handle large datasets and complex calculations without breaking a sweat.
With 2304 shading units and 2MB of L2 cache, the E9560 is able to handle complex shading and rendering tasks efficiently, making it an excellent choice for graphic design and gaming. Additionally, with a TDP of 130W, the E9560 strikes a good balance between performance and power efficiency, making it suitable for use in a variety of mobile devices.
The theoretical performance of 5.7 TFLOPS means that the E9560 is capable of handling even the most intensive computational tasks, making it an ideal choice for professionals who require powerful GPU performance on the go.
Overall, the AMD Radeon E9560 PCIe GPU is a stellar choice for those in need of high-performance graphics capabilities in a mobile platform. Whether you're a professional designer, a hardcore gamer, or simply in need of powerful GPU performance for your mobile device, the E9560 has the specs and the performance to meet your needs.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2019
Model Name
Radeon E9560 PCIe
Generation
Embedded
Base Clock
1120MHz
Boost Clock
1237MHz
Bus Interface
PCIe 3.0 x16
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
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.
224.0 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.
39.58 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.
178.1 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.
5.700 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.
356.3 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.
5.586
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
130W
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
5.586
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS