AMD Radeon E9175 PCIe
About GPU
The AMD Radeon E9175 PCIe GPU is a powerful and efficient graphics processing unit designed for mobile platforms. With a base clock of 1124MHz and a boost clock of 1219MHz, this GPU offers impressive performance for demanding graphics tasks such as gaming and content creation.
The 4GB of GDDR5 memory and a memory clock speed of 1500MHz ensure fast and responsive performance, allowing for smooth and seamless rendering of high-resolution textures and complex visual effects. The 512 shading units and 512KB of L2 cache further contribute to the GPU's ability to handle intensive graphics workloads with ease.
One of the standout features of the Radeon E9175 is its low TDP of 50W, which makes it a power-efficient option for mobile devices without sacrificing performance. This makes it an attractive choice for gaming laptops and other portable devices where power consumption is a concern.
With a theoretical performance of 1.248 TFLOPS, the Radeon E9175 delivers impressive graphics capability for a wide range of applications. Whether you're a gamer, a professional graphic designer, or a video editor, this GPU provides the power and versatility needed to tackle demanding tasks.
Overall, the AMD Radeon E9175 PCIe GPU offers a compelling combination of performance, efficiency, and features, making it a strong contender in the mobile graphics market. If you're in the market for a high-performance GPU for your mobile device, the Radeon E9175 is definitely worth considering.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2017
Model Name
Radeon E9175 PCIe
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
50W
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