AMD Radeon Pro WX Vega M GL
About GPU
The AMD Radeon Pro WX Vega M GL GPU is a powerful mobile graphics card that is capable of handling demanding workloads with ease. With a base clock speed of 931MHz and a boost clock speed of 1011MHz, this GPU offers excellent performance for both professional applications and gaming.
The GPU comes equipped with 4GB of HBM2 memory, providing ample room for storing textures and other graphics data. The memory clock speed of 700MHz ensures fast access to this memory, further contributing to the overall performance of the card.
With 1280 shading units and 1024KB of L2 cache, the Radeon Pro WX Vega M GL GPU is able to handle complex graphics tasks with ease. The relatively low TDP of 65W makes this GPU suitable for a wide range of mobile devices, including thin and light laptops.
In terms of performance, the Radeon Pro WX Vega M GL GPU is capable of delivering up to 2.588 TFLOPS of theoretical compute power. This makes it well-suited for tasks such as content creation, 3D rendering, and video editing, as well as for playing the latest games at high settings.
Overall, the AMD Radeon Pro WX Vega M GL GPU offers robust performance in a mobile form factor. Whether you are a professional in need of a graphics card for demanding workloads or a gamer looking for high frame rates and impressive visual fidelity, this GPU is sure to impress.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
April 2018
Model Name
Radeon Pro WX Vega M GL
Generation
Vega
Base Clock
931MHz
Boost Clock
1011MHz
Bus Interface
IGP
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
700MHz
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.
179.2 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.
32.35 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.
80.88 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.
2.588 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.
161.8 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.
2.64
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.
1280
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
65W
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
Benchmarks
FP32 (float)
Score
2.64
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS