AMD Radeon E9172 MXM
About GPU
The AMD Radeon E9172 MXM GPU is a powerful mobile graphics card that offers impressive performance for a wide range of applications. With a base clock speed of 1124MHz and a boost clock speed of 1219MHz, this GPU is capable of handling demanding tasks with ease. The 2GB of GDDR5 memory and a memory clock of 1500MHz ensure smooth and responsive performance, whether you're gaming, editing videos, or running complex simulations.
The GPU features 512 shading units and 256KB of L2 cache, which contribute to its impressive processing capabilities. With a TDP of 35W, it is also relatively power-efficient, making it a suitable choice for laptops and mobile workstations.
In terms of performance, the AMD Radeon E9172 MXM GPU offers a theoretical performance of 1.248 TFLOPS, making it well-suited for high-resolution gaming and professional graphics work. Its capabilities extend to 3D rendering, virtual reality, and machine learning applications, making it a versatile option for professionals and enthusiasts alike.
Overall, the AMD Radeon E9172 MXM GPU offers a compelling combination of performance, efficiency, and versatility. Its robust specifications make it a strong contender for anyone in need of a high-performance mobile graphics solution. Whether you're a gamer, content creator, or professional user, this GPU delivers the power and capabilities to handle demanding workloads with ease.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2017
Model Name
Radeon E9172 MXM
Generation
Embedded
Base Clock
1124MHz
Boost Clock
1219MHz
Bus Interface
MXM-A (3.0)
Memory Specifications
Memory Size
2GB
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.
64bit
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.
48.00 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.
19.50 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.
39.01 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.
1248 GFLOPS
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.
78.02 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.
1.223
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.
512
L1 Cache
16 KB (per CU)
L2 Cache
256KB
TDP
35W
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
1.223
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS