AMD Radeon R9 M380
About GPU
The AMD Radeon R9 M380 is a solid mid-range mobile GPU that offers excellent performance for gaming and multimedia applications. With a base clock of 900MHz and a boost clock of 1000MHz, this GPU provides smooth and responsive gameplay, even for the latest and most demanding titles. The 4GB of GDDR5 memory paired with a memory clock of 1500MHz ensures smooth and seamless multitasking and high-resolution gaming experiences.
The 768 shading units and 1.536 TFLOPS of theoretical performance allow for high-quality rendering and efficient handling of complex visual effects. The L2 cache of 256KB further enhances the GPU's efficiency and overall performance.
The AMD Radeon R9 M380 is a great choice for gamers and content creators looking for a reliable and affordable GPU for their laptops. Its performance is comparable to many desktop GPUs in its price range, making it an excellent option for those who need a powerful GPU on the go.
The TDP of the AMD Radeon R9 M380 is not known, but in general, it is known to be power efficient, allowing for longer battery life and less heat generation. This is especially important for laptop users who want to game or create content without being tethered to a power outlet.
Overall, the AMD Radeon R9 M380 is a fantastic option for anyone looking for a mid-range mobile GPU with great performance and efficiency. It offers a good balance of power, features, and value, making it a strong contender in its category.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M380
Generation
Gem System
Base Clock
900MHz
Boost Clock
1000MHz
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.
128bit
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.
96.00 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.
16.00 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.
48.00 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.
96.00 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.
1.567
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.
768
L1 Cache
16 KB (per CU)
L2 Cache
256KB
TDP
Unknown
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.
1.2.170
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
1.567
TFLOPS
Vulkan
Score
18210
OpenCL
Score
12848
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL