AMD Radeon Pro Vega 48
The AMD Radeon Pro Vega 48 GPU is a powerful graphics processing unit designed for high-performance computing tasks. With 8GB of HBM2 memory and a memory clock speed of 786MHz, this GPU is capable of handling large datasets and complex simulation tasks with ease. The 3072 shading units provide ample processing power for rendering detailed graphics and running intensive computational workloads.
One of the standout features of the Radeon Pro Vega 48 is its impressive theoretical performance of 7.373 TFLOPS. This makes it well-suited for demanding applications such as 3D rendering, video editing, and scientific computing. The 4MB of L2 cache also helps to improve overall performance by reducing memory latency and increasing data access speeds.
In terms of power consumption, the TDP of the Radeon Pro Vega 48 is not explicitly stated, but it is expected to be within a reasonable range for a high-end mobile GPU.
Overall, the AMD Radeon Pro Vega 48 GPU is a solid choice for professionals and enthusiasts who require a reliable and high-performance graphics solution. Whether you are working on creative projects or tackling complex computational tasks, the Radeon Pro Vega 48 is up to the challenge. Its combination of fast memory, numerous shading units, and impressive theoretical performance make it a capable and versatile GPU for a variety of demanding workloads.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
March 2019
Model Name
Radeon Pro Vega 48
Generation
Radeon Pro Mac
Bus Interface
PCIe 3.0 x16
Transistors
12,500 million
Compute Units
48
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.
192
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 5.0
Memory Specifications
Memory Size
8GB
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
786MHz
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.
402.4 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.
76.80 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.
230.4 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.
14.75 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.
460.8 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.
7.52
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.
3072
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
Unknown
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.
1.3
OpenCL Version
2.1
OpenGL
4.6
DirectX
12 (12_1)
Power Connectors
None
Shader Model
6.7
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
Benchmarks
FP32 (float)
Score
7.52
TFLOPS
Blender
Score
445
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender