AMD Radeon Pro Vega 64
About GPU
The AMD Radeon Pro Vega 64 GPU is a powerhouse, especially for professionals and enthusiasts who are in need of high-performance graphics processing. With a base clock of 1250MHz and a boost clock of 1350MHz, this GPU offers fast and efficient performance for demanding tasks such as video editing, 3D rendering, and gaming.
One of the standout features of the Radeon Pro Vega 64 is its massive 16GB of HBM2 memory. This abundant memory capacity allows for smooth and seamless multitasking, as well as handling large and complex datasets without any lag or performance bottlenecks. The memory clock speed of 786MHz further enhances the GPU's ability to handle heavy workloads with ease.
With 4096 shading units and 4MB of L2 cache, the Radeon Pro Vega 64 delivers impressive graphics processing power, making it ideal for tasks that require a high level of detail and realism. Additionally, with a TDP of 250W and a theoretical performance of 11.06 TFLOPS, this GPU is able to handle even the most demanding workloads without breaking a sweat.
Overall, the AMD Radeon Pro Vega 64 GPU is an excellent choice for professionals and enthusiasts who require top-notch graphics performance. Whether you're a content creator, a game developer, or a power user who demands the best performance, the Radeon Pro Vega 64 is sure to impress with its capabilities and reliability.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
June 2017
Model Name
Radeon Pro Vega 64
Generation
Radeon Pro Mac
Base Clock
1250MHz
Boost Clock
1350MHz
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
786MHz
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.
402.4 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.
86.40 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.
345.6 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.
22.12 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.
691.2 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.
10.839
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
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
10.839
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS