AMD Radeon Pro VII
About GPU
The AMD Radeon Pro VII GPU is a powerful workstation graphics card designed for professional content creation, computer-aided design (CAD), and other demanding visual computing tasks. With its impressive specs, this GPU offers exceptional performance and reliability for professionals working in industries such as film and television production, engineering, and scientific research.
Equipped with 16GB of high-bandwidth HBM2 memory, the Radeon Pro VII GPU is capable of handling large and complex datasets with ease, allowing for smooth and uninterrupted workflows even when working with high-resolution images, videos, and 3D models. The card's 3840 shading units and a base clock of 1400MHz, capable of boosting to 1700MHz, provide for excellent rendering and graphic processing capabilities.
In addition to its raw power, the Radeon Pro VII also offers support for professional-grade features such as ECC memory, multitasking, and color precision, making it a versatile choice for a wide range of professional applications. The 4MB of L2 cache and a TDP of 250W ensure that the GPU can handle intensive workloads without compromising on stability or efficiency.
While the Radeon Pro VII's theoretical performance of 13.06 TFLOPS makes it suitable for demanding tasks, its robust cooling system ensures that it remains stable and reliable even under heavy load. Overall, the AMD Radeon Pro VII GPU is an excellent choice for professionals looking for a high-performance graphics card that can handle the most demanding workloads with ease.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
May 2020
Model Name
Radeon Pro VII
Generation
Radeon Pro
Base Clock
1400MHz
Boost Clock
1700MHz
Bus Interface
PCIe 4.0 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.
4096bit
Memory Clock
1000MHz
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.
1024 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.
108.8 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.
408.0 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.
26.11 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.
6.528 TFLOPS
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.
13.321
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.
3840
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
250W
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
13.321
TFLOPS
Vulkan
Score
84769
OpenCL
Score
92041
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL