AMD Radeon Vega Frontier Edition Watercooled
About GPU
The AMD Radeon Vega Frontier Edition Watercooled GPU is a powerful and high-performing graphics card designed for professional and creative workloads. With a base clock speed of 1382MHz and a boost clock speed of 1600MHz, this GPU delivers fast and responsive performance for demanding applications.
The 16GB of HBM2 memory and a memory clock of 945MHz ensure smooth and efficient performance during intensive tasks such as 3D rendering, video editing, and simulation. The 4096 shading units and 4MB of L2 cache further contribute to the GPU's ability to handle complex workloads with ease.
One of the standout features of the Radeon Vega Frontier Edition Watercooled GPU is its water-cooling system, which helps to keep the card running at optimal temperatures even during heavy use. This not only enhances the overall performance but also ensures the longevity of the GPU.
With a TDP of 375W and a theoretical performance of 13.11 TFLOPS, this GPU is well-suited for professionals who require reliable and consistent performance for their creative and compute-intensive work.
Overall, the AMD Radeon Vega Frontier Edition Watercooled GPU is a solid choice for professionals and content creators who need a high-performance graphics card for demanding workloads. Its impressive specs, efficient cooling system, and reliable performance make it a valuable asset for those working in the creative and professional industries.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
July 2017
Model Name
Radeon Vega Frontier Edition Watercooled
Generation
Radeon Pro
Base Clock
1382MHz
Boost Clock
1600MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
16GB
Memory Type
HBM2
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.
2048bit
Memory Clock
945MHz
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.
483.8 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.
102.4 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.
409.6 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.
26.21 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.
819.2 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.
12.848
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
4MB
TDP
375W
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
12.848
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS