AMD Radeon Pro SSG
About GPU
The AMD Radeon Pro SSG GPU is a high-performance, professional-grade graphics card designed for desktop use. With a base clock speed of 1440MHz and a boost clock speed of 1500MHz, this GPU offers impressive processing power for demanding workloads.
One of the standout features of the Radeon Pro SSG is its massive 16GB of high-bandwidth HBM2 memory. This allows for ultra-fast data access and manipulation, making it ideal for handling large, complex datasets and high-resolution content. The memory clock speed of 945MHz further enhances performance, ensuring smooth and efficient operations.
With 4096 shading units and 4MB of L2 cache, this GPU is equipped to handle intensive graphics and compute tasks with ease. Its TDP of 260W indicates that it is a high-power consumption graphics card, but the theoretical performance of 12.29 TFLOPS demonstrates its ability to deliver exceptional graphics and computing performance.
In real-world use, the AMD Radeon Pro SSG excels in professional applications such as 3D rendering, CAD design, and video editing. Its powerful hardware allows for smooth, responsive performance even when working with large, complex projects. Furthermore, the impressive memory capacity and bandwidth make it well-suited for handling 8K content and other memory-intensive tasks.
Overall, the AMD Radeon Pro SSG GPU is a powerhouse graphics card that offers exceptional performance and capabilities for professionals in need of top-tier graphics and compute power. Its high memory capacity, fast memory speeds, and massive shading units make it a top choice for demanding workloads in professional settings.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2017
Model Name
Radeon Pro SSG
Generation
Radeon Pro
Base Clock
1440MHz
Boost Clock
1500MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
16GB
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
945MHz
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.
483.8 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.
96.00 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.
384.0 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.
24.58 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.
768.0 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.
12.536
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.
4096
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
260W
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
12.536
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS