AMD Radeon R9 380 OEM
About GPU
The AMD Radeon R9 380 OEM GPU is a powerful graphics card designed for desktop gaming and multimedia applications. With a substantial 4GB of GDDR5 memory, a fast memory clock of 1375MHz, and 1792 shading units, this GPU delivers impressive performance for its class. The 512KB L2 cache further enhances its ability to handle demanding graphics tasks, while the 190W TDP ensures that the card can deliver consistent performance under heavy loads.
In terms of actual performance, the Radeon R9 380 OEM is capable of delivering a theoretical 3.29 TFLOPS, making it suitable for running modern games at high settings and resolutions. The card also supports a variety of advanced graphics technologies, such as AMD's FreeSync, which helps to eliminate screen tearing and stuttering for a smoother gaming experience.
In terms of real-world performance, the Radeon R9 380 OEM is capable of handling most modern games at 1080p resolution with high settings. While it may struggle with more demanding titles at higher resolutions, it still provides fantastic value for its price point.
Overall, the AMD Radeon R9 380 OEM GPU is a solid choice for gamers and content creators looking for a capable graphics card for their desktop system. With its strong performance and competitive pricing, it offers great bang for your buck.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
May 2015
Model Name
Radeon R9 380 OEM
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
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.
29.38 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.
102.8 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.
3.290 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.
205.6 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.
3.356
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
3.356
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS