AMD Radeon Pro Vega 16
The AMD Radeon Pro Vega 16 GPU is a powerful and efficient mobile graphics processor that offers high-performance capabilities for a range of professional applications. With a base clock speed of 815MHz and a boost clock speed of 1190MHz, this GPU delivers fast and responsive operation, making it ideal for demanding tasks such as 3D rendering, video editing, and graphic design.
One of the standout features of the Radeon Pro Vega 16 is its 4GB of HBM2 memory, which provides ample resources for handling complex and high-resolution graphics. The memory clock speed of 1200MHz ensures quick access to data, resulting in smooth and fluid performance, even when working with large and detailed projects. Additionally, the 1024 shading units and 1024KB of L2 cache contribute to the GPU’s overall efficiency and speed.
In terms of power consumption, the Radeon Pro Vega 16 is impressively energy-efficient, with a thermal design power (TDP) of 75W. This makes it well-suited for use in portable workstations and laptops, where battery life and heat management are important factors to consider.
Overall, the AMD Radeon Pro Vega 16 GPU is a high-performance and reliable graphics solution for professional users who require fast and efficient processing for their creative and technical projects. Its theoretical performance of 2.437 TFLOPS ensures that it can handle the demands of modern design and rendering software, making it a valuable asset for professionals in fields such as architecture, engineering, and content creation.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
November 2018
Model Name
Radeon Pro Vega 16
Generation
Radeon Pro Mac
Base Clock
815MHz
Boost Clock
1190MHz
Bus Interface
PCIe 3.0 x16
Transistors
Unknown
Compute Units
16
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.
64
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 5.0
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
1200MHz
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.
307.2 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.
38.08 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.
76.16 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.
4.874 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.
152.3 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.
2.388
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.
1024
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
75W
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)
Shader Model
6.3
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
Benchmarks
FP32 (float)
Score
2.388
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS