AMD Radeon R9 380X
About GPU
The AMD Radeon R9 380X is a powerful GPU that delivers impressive performance for desktop gaming and multimedia applications. With 4GB of GDDR5 memory and a memory clock of 1425MHz, this GPU can handle high-resolution textures and complex visual effects with ease. Additionally, the 2048 shading units and 512KB L2 cache contribute to the GPU's ability to render detailed and realistic graphics.
One of the standout features of the AMD Radeon R9 380X is its theoretical performance of 3.973 TFLOPS, which makes it suitable for demanding gaming and content creation tasks. In benchmark tests such as 3DMark Time Spy, it achieves a score of 3050, showcasing its capabilities for handling modern games and VR experiences.
In terms of power consumption, the GPU has a TDP of 190W, which is in line with other high-performance graphics cards in its class. While it may require a robust cooling solution to dissipate heat effectively, the performance it offers justifies its power requirements.
Overall, the AMD Radeon R9 380X is a solid choice for gamers and content creators who want a reliable and capable GPU for their desktop systems. Its 4GB of memory, high core count, and impressive performance metrics make it a compelling option for those seeking a balance of price and performance in their graphics card. Whether you're playing the latest AAA titles or working on graphic-intensive projects, the AMD Radeon R9 380X is well-equipped to deliver a smooth and immersive experience.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
November 2015
Model Name
Radeon R9 380X
Generation
Pirate Islands
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
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.
256bit
Memory Clock
1425MHz
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.
182.4 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.
31.04 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.
124.2 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.
3.973 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.
248.3 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.
3.894
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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
190W
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
3.894
TFLOPS
3DMark Time Spy
Score
3111
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy