AMD Radeon RX Vega Nano

AMD Radeon RX Vega Nano

About GPU

The AMD Radeon RX Vega Nano is a powerful, high-performance GPU that is designed for desktop gaming and content creation. With a base clock speed of 1247MHz and a boost clock speed of 1546MHz, this GPU delivers smooth, responsive gameplay and fast rendering times for demanding applications. One standout feature of the RX Vega Nano is its 8GB of HBM2 memory, which provides high bandwidth and low latency for improved performance. The memory clock speed of 800MHz further enhances the GPU's ability to quickly process and store large amounts of data, resulting in seamless multitasking and smooth visuals. With 4096 shading units and 4MB of L2 cache, the RX Vega Nano is capable of handling complex graphics and computations with ease. Its TDP of 175W ensures efficient power usage without sacrificing performance, making it a great option for users who want a balance between power and energy efficiency. The theoretical performance of 12.66 TFLOPS speaks to the GPU's ability to handle demanding tasks, such as 3D rendering, video editing, and high-resolution gaming. Overall, the AMD Radeon RX Vega Nano is a top-tier GPU that offers exceptional performance and capabilities for enthusiasts and professionals alike. Whether you're a hardcore gamer or a content creator, this GPU is sure to impress with its speed, power, and reliability.

Basic

Label Name
AMD
Platform
Desktop
Model Name
Radeon RX Vega Nano
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
800MHz
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.
409.6 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
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
175W
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
12.946 +0.3%
12.946 +0.3%