AMD Radeon RX 580 Mobile
About GPU
The AMD Radeon RX 580 Mobile GPU is an impressive graphics card designed for mobile gaming and high-performance applications. With a base clock of 1000MHz and a boost clock of 1077MHz, this GPU offers smooth and responsive visual experiences. The 8GB of GDDR5 memory and a memory clock of 2000MHz ensure that users can enjoy high-resolution gaming without any lag or stuttering.
With 2304 shading units and 2MB of L2 cache, the RX 580 Mobile GPU delivers impressive rendering and graphic processing power. The 100W TDP ensures that the GPU can operate efficiently without consuming excessive power, making it suitable for gaming laptops and other mobile devices.
In terms of performance, the RX 580 Mobile GPU offers a theoretical performance of 4.963 TFLOPS, making it capable of handling even the most demanding games and applications. The GPU is also equipped with advanced features such as AMD FreeSync technology, which helps to eliminate screen tearing and stuttering during gameplay.
Overall, the AMD Radeon RX 580 Mobile GPU is a solid choice for gamers and professionals who require a powerful and reliable graphics card for their mobile devices. Its impressive specifications, efficient power consumption, and high-performance capabilities make it a standout option in the mobile GPU market. Whether you're a gamer or a content creator, the RX 580 Mobile GPU has the muscle to handle your graphical needs.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
April 2017
Model Name
Radeon RX 580 Mobile
Generation
Mobility Radeon
Base Clock
1000MHz
Boost Clock
1077MHz
Bus Interface
MXM-B (3.0)
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
2000MHz
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.
256.0 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.
34.46 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.
155.1 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.
4.963 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.
310.2 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.
4.864
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.
2304
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
100W
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
4.864
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS