AMD Radeon Pro W6500M
About GPU
The AMD Radeon Pro W6500M GPU is a powerful and efficient graphics processing unit designed for mobile platforms. With a base clock speed of 1512MHz and a boost clock speed of 2040MHz, this GPU offers impressive performance for demanding tasks such as 3D rendering, video editing, and gaming on high-resolution displays.
The 4GB of GDDR6 memory and a memory clock speed of 2000MHz ensure fast and responsive performance, allowing for smooth multitasking and seamless transitions between applications. The 1024 shading units and 1024KB of L2 cache contribute to the GPU's ability to handle complex graphics workloads with ease.
One of the standout features of the Radeon Pro W6500M is its low TDP of 25W, which makes it a suitable choice for thin and light laptops without sacrificing performance. This power efficiency also contributes to longer battery life, making it a practical choice for professionals who need to work on the go.
With a theoretical performance of 4.178 TFLOPS, the AMD Radeon Pro W6500M GPU delivers the power and speed required for modern graphics-intensive applications. Overall, this GPU is a solid choice for professionals and enthusiasts who need a reliable and capable graphics solution for their mobile computing needs.
Basic
Label Name
AMD
Platform
Mobile
Model Name
Radeon Pro W6500M
Generation
Radeon Pro Mobile
Base Clock
1512MHz
Boost Clock
2040MHz
Bus Interface
PCIe 4.0 x4
Memory Specifications
Memory Size
4GB
Memory Type
GDDR6
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.
64bit
Memory Clock
2000MHz
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.
128.0 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.
65.28 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.
130.6 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.
8.356 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.
261.1 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.
4.094
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
128 KB per Array
L2 Cache
1024KB
TDP
25W
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
2.2
Benchmarks
FP32 (float)
Score
4.094
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS