AMD Radeon Pro V320
About GPU
The AMD Radeon Pro V320 GPU is a high-performance graphics processing unit designed for desktop use. With a base clock speed of 852MHz and a boost clock speed of 1500MHz, this GPU offers excellent performance for a variety of demanding tasks, including graphic design, video editing, and gaming.
One of the standout features of the Radeon Pro V320 is its generous 8GB of HBM2 memory, which provides ample resources for handling large, complex projects and high-resolution textures. The memory clock speed of 945MHz further enhances the GPU's ability to quickly access and manipulate data, resulting in smooth and responsive performance.
With 3584 shading units, 4MB of L2 cache, and a TDP of 230W, the Radeon Pro V320 is a powerful and efficient GPU that can handle even the most intensive workloads. Its theoretical performance of 10.75 TFLOPS ensures that it can tackle advanced tasks with ease, delivering impressive results across a range of applications and demanding scenarios.
Overall, the AMD Radeon Pro V320 GPU is a top-of-the-line option for professionals and enthusiasts who require high-performance graphics capabilities. Whether you're creating complex 3D models, editing high-resolution video, or pushing the limits of modern gaming, the Radeon Pro V320 has the power and features to meet your needs and exceed your expectations.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2017
Model Name
Radeon Pro V320
Generation
Radeon Pro Vega
Base Clock
852MHz
Boost Clock
1500MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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.
336.0 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.
21.50 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.
672.0 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.
10.965
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.
3584
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
230W
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
2.1
Benchmarks
FP32 (float)
Score
10.965
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS