AMD Radeon E9173 PCIe
The AMD Radeon E9173 PCIe GPU is a solid choice for users looking for a reliable and efficient graphics card for their mobile platform. With a base clock of 1124MHz and a boost clock of 1219MHz, this GPU offers impressive speeds that ensure smooth and responsive performance for a variety of tasks.
The 2GB of GDDR5 memory and memory clock of 1500MHz provide ample power for handling complex graphics and multimedia applications. The 512 shading units and L2 cache of 256KB further enhance the GPU's overall performance, allowing for crisp and detailed visuals.
One of the standout features of the Radeon E9173 is its low TDP of 35W, making it an energy-efficient option compared to other GPUs in its class. This means users can enjoy powerful graphics performance without worrying about excessive power consumption.
With a theoretical performance of 1.248 TFLOPS, the Radeon E9173 is more than capable of handling demanding workloads and running modern games at respectable settings.
Overall, the AMD Radeon E9173 PCIe GPU is a great choice for those in need of a reliable and efficient graphics card for their mobile platform. Its impressive speed, ample memory, and energy efficiency make it suitable for a wide range of applications, from content creation to gaming. Whether you're a professional or a casual user, this GPU has the power to meet your graphics needs.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2017
Model Name
Radeon E9173 PCIe
Generation
Embedded
Base Clock
1124MHz
Boost Clock
1219MHz
Bus Interface
PCIe 3.0 x8
Transistors
2,200 million
Compute Units
8
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
32
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 4.0
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.
1.273
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
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
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
None
Shader Model
6.4
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
16
Benchmarks
FP32 (float)
Score
1.273
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS