AMD Radeon Pro Vega II Duo Specs

AMD Radeon Pro Vega II Duo on Amazon USA

Specifications of the AMD Radeon Pro Vega II Duo graphics card dedicated to the desktop sector, with 8192 shading units, its maximum frequency is 1.7GHz The table below makes it possible to observe well the lithography, the number of transistors (if present), the offered cache memory, the quantity of texture mapping units, of render output units, the release date, the GFLOPS performance, the values obtained in the benchmark platforms.


Graphics card AMD Radeon Pro Vega II Duo
Market (main) Desktop
Release date Q2 2019
Model number Vega 20 XT
GPU name Vega 20
Architecture GCN 5.1
Generation Radeon Pro Mac Vega Series
Lithography 7 nm
Transistors 13,230,000,000
Bus interface PCIe 3.0 x16
GPU base clock 1.40 GHz
GPU boost clock 1.72 GHz
Memory frequency 1,000 MHz
Effective memory speed 2 GB/s
Memory size 64 GB
Memory type HBM2
Memory bus 8192 bit
Memory bandwidth 2,048.0 GB/s
TDP 475 W
Suggested PSU 900W ATX Power Supply
Multicard technology -

4x Thunderbolt
Cores (compute units, SM, SMX) 128
Shading units 8,192
TMUs 512
ROPs 128
Cache memory 8 MB
Pixel fillrate 220.2 GPixel/s
Texture fillrate 880.6 GTexel/s
Performance FP16 (half) 56.4 TFLOPS
Performance FP32 (float) 28.2 TFLOPS
Performance FP64 (double) 1.8 TFLOPS

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TMUs: texture mapping units. This unit was a physical processor separated from the main graphics processing units. It is able to distort a bitmap image, and also to resize it, to rotate it and to place it as a texture onto a plane of a specific 3D model.

ROPs: render output units. The other name of this unit is raster operations pipeline. This hadware component is taking pixel and texel information, and processing it through vector and matrix operations. The result will be a depth value or a final pixel. It is able to control antialiasing with the merge of several sample into one pixel.

Performances :

Performance comparison between this graphics card and those of equivalent power, for this we consider the results generated on benchmark softwares and rendering performances.

Pixel fillrate performance comparison for this graphics card:

Pixel fillrate performance in GPixels/s
Nvidia A100 PCIe 225.6
Nvidia A100 PCIe 80GB 225.6
Nvidia A100 SXM4 80GB 225.6
Nvidia A100 SXM4 40GB 225.6
AMD Radeon Pro W6800 222.7
AMD Radeon Pro Vega II Duo 220.2
MSI GeForce RTX 3090 Ti Suprim X 218.4
Asus ROG STRIX LC GeForce RTX 3090 Ti OC 218.4
Nvidia A16 PCIe 216.96
MSI GeForce RTX 3090 Ti Gaming X Trio 215

The term pixel fillrate is refering to the number of pixels that the video card is able to generate every second. This performance is achieved by multiplying the raster output units (ROPs) by the clock frequency of the graphics processor unit (GPU).

Texture fillrate performance comparison for this graphics card:

Texture fillrate performance in GTexels/s
Asus TUF Gaming GeForce RTX 4090 1,290
Nvidia GeForce RTX 4080 Ti 1,056
AMD Radeon RX 7900 XTX 961.9
AMD Radeon Pro W6800X Duo 948
Nvidia H100 SXM5 939.8
AMD Radeon Pro Vega II Duo 880.6
AMD Radeon RX 7900 XT 806.4
Nvidia GeForce RTX 4080 16GB 761.5
Nvidia H100 PCIe 752.4
MSI Radeon RX 6900 XT Gaming X Trio 748.8

The term texture fillrate refers to the number of map texture elements (texels) that the GPU is capable of generating per second. This performance is achieved by multiplying the texture mapping units (TMUs) by the clock frequency of the graphics processor unit.

FP32 performance comparison (single precision; float; floating-point 32) for this graphics card:

FP32 Performance in GFLOPS
MSI GeForce RTX 3080 Ventus 3X 29,770
EVGA GeForce RTX 3080 XC3 Black Gaming 29,770
EVGA GeForce RTX 3080 XC3 Black Gaming LHR 29,770
EVGA GeForce RTX 3080 XC3 Gaming 29,770
Nvidia GeForce RTX 3080 29,770
AMD Radeon Pro Vega II Duo 28,180
Nvidia RTX A5000 27,770
AMD Radeon RX 7900 XT 25,800
Nvidia H100 PCIe 24,080
MSI Radeon RX 6900 XT Gaming X Trio 23,960

Single precision floating point format, also known as FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point.

List of comparisons:

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List of benchmarks:

FP32 performance


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