AMD Radeon RX Vega M GH
About GPU
The AMD Radeon RX Vega M GH is a powerful mobile GPU that offers exceptional performance for gaming and content creation on the go. With a base clock of 1063MHz and a boost clock of 1190MHz, this GPU delivers smooth and seamless gameplay, as well as efficient rendering and video editing capabilities.
The 4GB of HBM2 memory and a memory clock of 800MHz ensure fast and reliable access to graphics data, while the 1536 shading units and 1024KB of L2 cache contribute to the GPU's impressive processing power. With a TDP of 100W, the Radeon RX Vega M GH strikes a good balance between performance and power efficiency, making it suitable for high-end laptops and mobile workstations.
In terms of performance, the Radeon RX Vega M GH boasts a theoretical performance of 3.656 TFLOPS, which translates to smooth gameplay at high resolutions and frame rates, as well as fast and responsive performance in content creation applications such as video editing and 3D rendering.
Overall, the AMD Radeon RX Vega M GH is a stellar mobile GPU that offers exceptional performance for gamers and content creators on the go. Its powerful specs, efficient power usage, and reliable performance make it a top choice for anyone in need of a high-performance mobile graphics solution.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
February 2018
Model Name
Radeon RX Vega M GH
Generation
Vega
Base Clock
1063MHz
Boost Clock
1190MHz
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
800MHz
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.
204.8 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.
76.16 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.
114.2 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.
3.656 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.
228.5 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.
3.583
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.
1536
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
100W
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
3.583
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS