AMD Radeon Vega Frontier Edition
The AMD Radeon Vega Frontier Edition GPU is a powerhouse for professional graphics and compute workloads. With a base clock of 1382MHz and a boost clock of 1600MHz, this GPU delivers impressive performance for demanding tasks. The 16GB of HBM2 memory clocked at 945MHz provides ample memory bandwidth for handling large datasets and complex simulations.
The 4096 shading units and 4MB of L2 cache contribute to the GPU's ability to efficiently process parallel workloads, making it well-suited for tasks such as 3D rendering and deep learning. The TDP of 300W may be on the higher side, but it's a tradeoff for the immense computational power this GPU offers.
In terms of actual performance, the AMD Radeon Vega Frontier Edition GPU boasts a theoretical performance of 13.11 TFLOPS and scores an impressive 7078 in 3DMark Time Spy benchmark. These numbers demonstrate the GPU's capability to handle complex graphics and compute workloads with ease.
Overall, the AMD Radeon Vega Frontier Edition GPU is a solid choice for professionals who require high-performance graphics and compute capabilities. Whether you're working on visual effects, virtual reality, or machine learning, this GPU has the power and memory bandwidth to handle it all. However, the high power consumption and potential compatibility issues in gaming scenarios make it less suitable for consumer gaming use.
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Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2017
Model Name
Radeon Vega Frontier Edition
Generation
Radeon Pro
Base Clock
1382MHz
Boost Clock
1600MHz
Bus Interface
PCIe 3.0 x16
Transistors
12,500 million
Compute Units
64
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.
256
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 5.0
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
300W
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_1)
Power Connectors
2x 8-pin
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.
64
Suggested PSU
700W
Benchmarks
FP32 (float)
Score
12.848
TFLOPS
3DMark Time Spy
Score
6936
Blender
Score
731
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Blender