AMD Radeon Pro Vega II Duo
The AMD Radeon Pro Vega II Duo GPU is an absolute powerhouse of a graphics card designed for desktop use. With a base clock of 1400MHz and a boost clock of 1720MHz, this GPU delivers exceptional speed and performance for complex, graphics-intensive tasks.
One of the standout features of this GPU is its massive 32GB of HBM2 memory, which allows for lightning-fast data access and manipulation. This is especially beneficial for professional applications such as 3D rendering, video editing, and high-resolution gaming.
With 4096 shading units and 4MB of L2 cache, the Radeon Pro Vega II Duo is able to handle even the most demanding workloads with ease. Additionally, its 475W TDP ensures that it can sustain high performance over extended periods of use without throttling or overheating.
The theoretical performance of 14.09 TFLOPS further solidifies the Radeon Pro Vega II Duo as a top-tier graphics card. Whether you're a professional content creator, a data scientist, or a hardcore gamer, this GPU has the muscle to tackle any task you throw at it.
In conclusion, the AMD Radeon Pro Vega II Duo GPU is a beast of a graphics card that delivers exceptional speed, power, and reliability. While it may come with a hefty price tag, its top-notch performance and massive memory capacity make it a worthwhile investment for those who require the utmost in graphics processing power.
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Basic
Label Name
AMD
Platform
Desktop
Model Name
Radeon Pro Vega II Duo
Generation
Radeon Pro Mac
Base Clock
1400MHz
Boost Clock
1720MHz
Bus Interface
PCIe 3.0 x16
Transistors
13,230 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
TSMC
Process Size
7 nm
Architecture
GCN 5.1
Memory Specifications
Memory Size
32GB
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.
4096bit
Memory Clock
1000MHz
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.
1024 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.
110.1 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.
440.3 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.
28.18 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.
880.6 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.
13.808
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
475W
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
None
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
850W
Benchmarks
FP32 (float)
Score
13.808
TFLOPS
Blender
Score
856
Vulkan
Score
98446
OpenCL
Score
98226
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL