AMD Radeon RX Vega 64 Liquid Cooling
About GPU
The AMD Radeon RX Vega 64 Liquid Cooling GPU is a high-performance graphics card designed for desktop gaming and professional applications. With a base clock speed of 1406MHz and a boost clock speed of 1677MHz, this GPU delivers fast and smooth gameplay, as well as excellent performance for content creation and 3D rendering.
One of the standout features of the Radeon RX Vega 64 Liquid Cooling GPU is its 8GB of HBM2 memory, which provides high-speed and ample memory for handling complex textures and large datasets. The memory clock speed of 945MHz further enhances its ability to handle demanding tasks, while the 4096 shading units ensure excellent rendering performance.
The liquid cooling system of the GPU is a game-changer, providing efficient and quiet cooling for the powerful hardware. This allows the GPU to maintain high performance without the noise and thermal limitations of traditional air cooling solutions.
With a TDP of 345W, the Radeon RX Vega 64 Liquid Cooling GPU is a power-hungry component, but the theoretical performance of 13.74 TFLOPS more than justifies its power requirements. It excels in handling high-resolution gaming, VR experiences, and professional applications that demand raw GPU power.
In conclusion, the AMD Radeon RX Vega 64 Liquid Cooling GPU is a top-of-the-line graphics card that offers exceptional performance, especially for enthusiasts and professionals who demand high-quality visuals and smooth frame rates. Its liquid cooling system, high memory bandwidth, and massive shader count make it a compelling choice for those seeking the ultimate GPU performance.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2017
Model Name
Radeon RX Vega 64 Liquid Cooling
Generation
Vega
Base Clock
1406MHz
Boost Clock
1677MHz
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.
107.3 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.
429.3 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.
27.48 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.
858.6 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.
13.465
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
345W
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
13.465
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS