AMD Radeon R9 390 X2
About GPU
The AMD Radeon R9 390 X2 is a powerhouse of a GPU, delivering impressive performance for desktop gaming and graphics-intensive tasks. With an 8GB memory size and GDDR5 memory type, this GPU is capable of handling the most demanding games and applications with ease. The high memory clock speed of 1350MHz ensures smooth and responsive performance, even during intense gaming sessions.
One of the standout features of the Radeon R9 390 X2 is its impressive 2560 shading units, which allow for stunning visual effects and seamless rendering of complex graphics. The 1024KB L2 cache further enhances the GPU's ability to process and deliver high-quality images and videos.
In terms of power consumption, the Radeon R9 390 X2 has a TDP of 580W, which is on the higher end but is to be expected given the level of performance it delivers. It's important to ensure that your system has an adequate power supply to support this GPU.
With a theoretical performance of 5.12 TFLOPS, the Radeon R9 390 X2 is more than capable of handling modern games and applications at high resolutions and frame rates. Its impressive specs make it a great choice for gamers and content creators looking for a reliable and powerful GPU.
Overall, the AMD Radeon R9 390 X2 is a top-notch GPU that delivers exceptional performance and is well-suited for enthusiasts and professionals who demand high-quality visuals and smooth gameplay. While it may consume more power compared to other GPUs, its stellar performance more than makes up for it.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
September 2015
Model Name
Radeon R9 390 X2
Generation
Pirate Islands
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
GDDR5
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.
512bit
Memory Clock
1350MHz
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.
345.6 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.
64.00 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.
160.0 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.
640.0 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.
5.222
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.
2560
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
580W
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
2.0
Benchmarks
FP32 (float)
Score
5.222
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS