AMD Radeon R9 380
About GPU
The AMD Radeon R9 380 GPU is a desktop graphics card with a 2GB GDDR5 memory size and a memory clock speed of 1375MHz. With 1792 shading units and 512KB of L2 cache, this GPU offers strong performance for gaming and other graphic-intensive applications.
One of the standout features of the AMD Radeon R9 380 is its theoretical performance of 3.476 TFLOPS, making it well-equipped to handle demanding gaming environments and high-resolution displays. In fact, it scored an impressive 2791 in the 3DMark Time Spy benchmark, showcasing its ability to deliver smooth and immersive gaming experiences.
While the GPU boasts powerful performance, it is worth noting that it has a relatively high TDP of 190W. This means that it may consume more power and produce more heat compared to other GPUs with lower TDP ratings. As such, users should ensure that their system has adequate cooling and power supply to accommodate the AMD Radeon R9 380.
Overall, the AMD Radeon R9 380 is a solid choice for gamers and content creators looking for a reliable and capable graphics card. Its strong performance, robust memory configuration, and efficient shading units make it a suitable option for those seeking an affordable yet powerful GPU for their desktop system.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2015
Model Name
Radeon R9 380
Generation
Pirate Islands
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
2GB
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
1375MHz
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.
176.0 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.
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.
108.6 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.
3.476 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.
217.3 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.
3.406
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.
1792
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
3.406
TFLOPS
3DMark Time Spy
Score
2847
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy