AMD Radeon R9 390
About GPU
The AMD Radeon R9 390 GPU is a powerful and reliable graphics card designed for desktop use. With a substantial 8GB of GDDR5 memory, this GPU is well-equipped to handle a wide range of demanding tasks, from gaming to graphic design and video editing. The 1500MHz memory clock, combined with 2560 shading units and 1024KB L2 cache, allows for smooth and efficient performance, even when tackling intensive graphics processing.
One of the standout features of the AMD Radeon R9 390 is its impressive 5.12 TFLOPS theoretical performance, making it a great choice for users who require a high level of processing power. Additionally, its 3DMark Time Spy score of 3960 demonstrates strong performance in modern gaming benchmarks, highlighting its ability to handle the latest games with ease.
It is important to note that the AMD Radeon R9 390 does have a relatively high TDP of 275W, which may be a consideration for users mindful of power consumption. However, the GPU's overall performance and capabilities make it a compelling option for those in need of a dependable and high-performing graphics card.
In conclusion, the AMD Radeon R9 390 GPU excels in both memory capacity and processing power, making it a great choice for users who require a high-performing desktop GPU for gaming, content creation, and other graphically demanding tasks. Its impressive specs and solid performance make it a worthy investment for those in need of a reliable and powerful graphics card.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2015
Model Name
Radeon R9 390
Generation
Pirate Islands
Bus Interface
PCIe 3.0 x16
Transistors
6,200 million
Compute Units
40
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
160
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 2.0
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
1500MHz
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.
384.0 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
275W
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
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
1x 6-pin + 1x 8-pin
Shader Model
6.3
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
Suggested PSU
600W
Benchmarks
FP32 (float)
Score
5.222
TFLOPS
3DMark Time Spy
Score
3881
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy