AMD Radeon E9390 PCIe
The AMD Radeon E9390 PCIe GPU is a high-performance graphic processing unit designed for mobile platforms. With a base clock speed of 713MHz and a boost clock of 1089MHz, this GPU offers impressive speed and efficiency for demanding graphics and computing tasks.
The GPU is equipped with 8GB of GDDR5 memory, running at a clock speed of 1250MHz, providing ample memory bandwidth for handling large datasets and complex calculations. The GPU also features 1792 shading units and 2MB of L2 cache, further enhancing its ability to handle parallel processing tasks.
One of the key advantages of the AMD Radeon E9390 PCIe GPU is its power efficiency, with a thermal design power (TDP) of 75W. This makes it an ideal choice for mobile devices where power consumption is a critical consideration. Despite its low power requirements, the GPU delivers impressive theoretical performance, capable of reaching 3.903 TFLOPS in compute power.
In practical terms, this means the GPU is well-suited for a wide range of applications, including gaming, content creation, and professional design and simulation tasks. Its high memory capacity and efficient processing architecture make it a versatile choice for users who require high-performance graphics in a mobile form factor.
Overall, the AMD Radeon E9390 PCIe GPU offers a compelling combination of performance, efficiency, and versatility, making it a strong contender for mobile computing and graphics applications.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2019
Model Name
Radeon E9390 PCIe
Generation
Embedded
Base Clock
713MHz
Boost Clock
1089MHz
Bus Interface
PCIe 3.0 x16
Transistors
5,700 million
Compute Units
28
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.
112
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 4.0
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
1250MHz
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.
160.0 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.
34.85 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.
122.0 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.
3.903 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.
243.9 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.
3.981
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.
1792
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
75W
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.
32
Benchmarks
FP32 (float)
Score
3.981
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS