AMD Radeon RX Vega 64 Limited Edition
About GPU
The AMD Radeon RX Vega 64 Limited Edition GPU is a powerful and high-performing graphics card designed for desktop gaming and content creation. With a base clock speed of 1247MHz and a boost clock speed of 1546MHz, this GPU offers fast and smooth performance, whether you're playing the latest AAA games or working on graphic-intensive projects.
The 8GB of HBM2 memory and a memory clock speed of 945MHz ensure that the GPU can handle large textures and high-resolution assets with ease, leading to sharp and detailed visuals. With 4096 shading units, 4MB of L2 cache, and a TDP of 295W, the RX Vega 64 Limited Edition is capable of delivering high frame rates and impressive graphical fidelity.
In terms of raw power, the theoretical performance of 12.66 TFLOPS demonstrates the GPU's ability to handle demanding workloads, making it a great choice for gamers and content creators alike. Additionally, the GPU's sleek and visually striking design adds a touch of style to any gaming rig.
One potential drawback of the RX Vega 64 Limited Edition is its relatively high power consumption, which may require a robust cooling solution and a strong power supply to operate at optimal levels. However, for users looking for a high-end GPU that can deliver exceptional performance and stunning visuals, the AMD Radeon RX Vega 64 Limited Edition is a top choice.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2017
Model Name
Radeon RX Vega 64 Limited Edition
Generation
Vega
Base Clock
1247MHz
Boost Clock
1546MHz
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.
98.94 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.
395.8 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.
25.33 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.
791.6 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.
12.913
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
295W
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
12.913
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS