Top 500

AMD Radeon Pro Vega 20

AMD Radeon Pro Vega 20

AMD Radeon Pro Vega 20 is a Mobile video accelerator from AMD. It began to be released in November 2018. The GPU has a boost frequency of 1283MHz. It also has a memory frequency of 740MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

Top Mobile GPU: 143

Basic

Label Name
AMD
Platform
Mobile
Launch Date
November 2018
Model Name
Radeon Pro Vega 20
Generation
Radeon Pro Mac
Base Clock
815MHz
Boost Clock
1283MHz
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.
1280
Transistors
Unknown
Compute Units
20
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.
80
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
Bus Interface
PCIe 3.0 x16
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 5.0
TDP
100W

Memory Specifications

Memory Size
4GB
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.
1024bit
Memory Clock
740MHz
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.
189.4 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.
41.06 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.
102.6 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.
6.569 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.
205.3 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.
3.349 TFlops

Miscellaneous

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)
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.
32
Shader Model
6.3

FP32 (float)

3.349 TFlops

Compared to Other GPU

0%
6%
49%
Better then 0% GPU over the past year
Better then 6% GPU over the past 3 years
Better then 49% GPU

SiliconCat Rating

143
Ranks 143 among Mobile GPU on our website
605
Ranks 605 among all GPU on our website
FP32 (float)
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AMD, January 2022
3.709 TFlops
FirePro D700
AMD, January 2014
3.551 TFlops
Radeon Pro Vega 20
AMD, November 2018
3.349 TFlops
Radeon R9 380 OEM
AMD, May 2015
3.289 TFlops
Radeon Pro W6300M
AMD, January 2022
3.196 TFlops