AMD Radeon E8950
About GPU
The AMD Radeon E8950 is a high-performance mobile GPU that offers impressive specifications and capabilities. With a base clock speed of 735MHz and a boost clock speed of 1000MHz, this GPU is capable of delivering smooth and fast graphics performance for even the most demanding tasks. The 8GB of GDDR5 memory and a memory clock speed of 1500MHz ensure that the GPU can handle large and complex textures and data with ease.
With 2048 shading units and 512KB of L2 cache, the Radeon E8950 is capable of rendering high-quality and detailed graphics in games and applications. The TDP of 95W ensures that the GPU can operate efficiently without consuming too much power, making it suitable for use in mobile devices.
One of the standout features of the AMD Radeon E8950 is its theoretical performance of 4.096 TFLOPS, which makes it a powerful and capable GPU for gaming, content creation, and professional applications. This level of performance ensures that users can enjoy high frame rates and smooth gameplay, as well as fast and responsive performance in creative applications.
Overall, the AMD Radeon E8950 is a top-of-the-line mobile GPU that offers impressive performance, advanced features, and efficient power consumption. Whether you're a gamer, content creator, or professional user, the Radeon E8950 is capable of meeting your graphics needs and delivering a seamless and immersive experience.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
September 2015
Model Name
Radeon E8950
Generation
Embedded
Base Clock
735MHz
Boost Clock
1000MHz
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
1500MHz
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.
192.0 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.
32.00 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.
128.0 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.
4.096 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.
256.0 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.
4.178
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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
512KB
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
2.0
Benchmarks
FP32 (float)
Score
4.178
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS