AMD Radeon RX Vega M GL
About GPU
The AMD Radeon RX Vega M GL is a solid GPU for mobile platforms, offering impressive performance and power efficiency. With a base clock of 931MHz and a boost clock of 1011MHz, this GPU provides speedy and smooth graphics rendering for a variety of tasks, from gaming to content creation.
The inclusion of 4GB of HBM2 memory with a clock speed of 700MHz ensures that the GPU can handle demanding workloads with ease, delivering excellent overall performance and reducing the likelihood of bottlenecks during operation. The 1280 shading units and 1024KB of L2 cache further contribute to the GPU's ability to handle complex graphics processing tasks efficiently.
One of the standout features of the AMD Radeon RX Vega M GL is its power efficiency, with a TDP of just 65W. This allows for the GPU to be used in thinner and lighter mobile devices without sacrificing performance, making it an excellent choice for gaming laptops and portable workstations.
With a theoretical performance of 2.588 TFLOPS, the AMD Radeon RX Vega M GL is well-equipped to handle modern games and demanding graphics applications, providing users with a reliable and capable GPU for their mobile computing needs.
Overall, the AMD Radeon RX Vega M GL is a top-notch mobile GPU that offers impressive performance, power efficiency, and reliability, making it a great option for users who require high-quality graphics performance on the go.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
February 2018
Model Name
Radeon RX 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.
2.536
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
2.536
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS