AMD Radeon Pro 580
About GPU
The AMD Radeon Pro 580 GPU is a solid performer that offers excellent graphics capabilities for mobile platforms. With a base clock speed of 1100MHz and a boost clock speed of 1200MHz, this GPU provides fast and efficient processing power for demanding graphics tasks. The 8GB of GDDR5 memory ensures smooth and lag-free performance, even when handling large and complex graphics files.
With 2304 shading units and 2MB of L2 cache, the Radeon Pro 580 delivers impressive visual rendering capabilities, making it suitable for professional graphic design, video editing, and gaming. The 5.53 TFLOPS theoretical performance further reinforces its ability to handle resource-intensive graphics workloads with ease.
In terms of power efficiency, the Radeon Pro 580 has a TDP of 185W, which is relatively high for a mobile GPU. However, the trade-off is the GPU's ability to deliver high performance without compromising on power consumption.
Overall, the AMD Radeon Pro 580 GPU is a reliable and capable graphics card that is well-suited for professionals and enthusiasts who require high-quality graphics performance on the go. Its robust specs, including the generous 8GB of memory and impressive shading units, make it a versatile option for a wide range of graphics-intensive tasks. Whether you're a professional designer, video editor, or gamer, the Radeon Pro 580 is a worthy choice for your mobile graphics needs.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
June 2017
Model Name
Radeon Pro 580
Generation
Radeon Pro Mac
Base Clock
1100MHz
Boost Clock
1200MHz
Bus Interface
PCIe 3.0 x16
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
1695MHz
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.
217.0 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.
38.40 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.
172.8 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.
5.530 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.
345.6 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.
5.641
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
185W
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
5.641
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS