AMD Radeon Pro Duo
About GPU
The AMD Radeon Pro Duo GPU is a high-performance graphics card designed for desktop gaming and professional applications. With a memory size of 4GB and a memory type of HBM (High Bandwidth Memory), this GPU delivers fast and efficient data storage for seamless multitasking and high-resolution rendering.
With a memory clock speed of 500MHz, the Radeon Pro Duo is capable of handling demanding graphics tasks with ease. The 4096 shading units ensure smooth and accurate rendering of complex visual scenes, making it an ideal choice for professional content creation and gaming enthusiasts.
The 2MB L2 cache provides additional data storage for quick access to frequently used files, further enhancing the card's overall performance. The TDP (Thermal Design Power) of 350W may be higher than some other GPUs on the market, but it is necessary to power the outstanding performance capabilities of this graphics card.
The AMD Radeon Pro Duo GPU boasts a theoretical performance of 8.192 TFLOPS, making it suitable for handling even the most demanding graphics-intensive applications. Whether you're a graphic designer, video editor, or hardcore gamer, this GPU is capable of delivering the high performance and reliability required to meet your needs.
In conclusion, the AMD Radeon Pro Duo GPU is a powerful and efficient graphics card that offers exceptional performance for professionals and enthusiasts alike. Its impressive specs make it a great choice for anyone in need of a high-performance graphics solution.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
April 2016
Model Name
Radeon Pro Duo
Generation
Radeon Pro
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
Memory Type
HBM
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.
4096bit
Memory Clock
500MHz
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.
512.0 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.
64.00 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.
256.0 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.
8.192 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.
512.0 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.
8.028
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.
4096
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
350W
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
2.0
Benchmarks
FP32 (float)
Score
8.028
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS