AMD Radeon E9171 MCM

AMD Radeon E9171 MCM

About GPU

The AMD Radeon E9171 MCM GPU is a powerful mobile GPU designed for high-performance computing and gaming on the go. With a base clock speed of 1124MHz and a boost clock of 1219MHz, this GPU offers fast and reliable performance for a wide range of applications. The 4GB of GDDR5 memory and a memory clock speed of 1500MHz ensure smooth and seamless operation, even when running demanding tasks or graphics-heavy games. With 512 shading units and 512KB of L2 cache, the AMD Radeon E9171 MCM GPU delivers crisp, clear graphics and impressive visual effects. The 40W TDP ensures that the GPU runs efficiently without consuming too much power, making it an excellent choice for laptops and other mobile devices. The theoretical performance of 1.248 TFLOPS makes the AMD Radeon E9171 MCM GPU a top choice for professionals and gamers who require fast and reliable graphics processing. Whether you're editing high-resolution videos, running complex simulations, or playing the latest AAA games, this GPU delivers the performance you need to stay productive and entertained. Overall, the AMD Radeon E9171 MCM GPU is an excellent choice for anyone in need of a high-performance mobile GPU. Its impressive specs and reliable performance make it a top contender in the mobile GPU market.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
October 2017
Model Name
Radeon E9171 MCM
Generation
Embedded
Base Clock
1124MHz
Boost Clock
1219MHz
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
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.
96.00 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.
1.273 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
512KB
TDP
40W
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
1.273 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
1.273 +0%
1.273 -0%
1.273 -0%