AMD Radeon R9 M380 Mac Edition
The AMD Radeon R9 M380 Mac Edition GPU is a solid mid-range graphics card designed for use in Apple Mac computers. With a base clock speed of 900MHz and a boost clock speed of 1021MHz, this GPU provides smooth and responsive performance for everyday tasks and moderate gaming.
Equipped with 2GB of GDDR5 memory with a memory clock speed of 1568MHz, the Radeon R9 M380 Mac Edition offers decent memory bandwidth for handling graphics-intensive applications and games. The 768 shading units and 256KB of L2 cache contribute to overall performance, allowing for detailed and vibrant visuals.
While the TDP of this GPU is not specified, the theoretical performance of 1.568 TFLOPS makes it suitable for running modern games and applications at medium settings. The Radeon R9 M380 Mac Edition is compatible with a wide range of Mac computers, making it a versatile option for those looking to upgrade their graphics capabilities.
Overall, the AMD Radeon R9 M380 Mac Edition GPU is a reliable option for Mac users seeking a balance of performance and affordability. It offers good value for its price point and should satisfy the needs of users who engage in light to moderate gaming, content creation, and graphic design on their Mac systems. With its solid specifications and compatibility with various Mac models, the Radeon R9 M380 Mac Edition is a worthy consideration for those looking to enhance their Mac's graphical capabilities.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M380 Mac Edition
Generation
Gem System
Base Clock
900MHz
Boost Clock
1021MHz
Bus Interface
PCIe 3.0 x16
Transistors
2,080 million
Compute Units
12
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.
48
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 2.0
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.
128bit
Memory Clock
1568MHz
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.
100.4 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.
16.34 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.
49.01 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.
98.02 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.
1.537
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
OpenGL
4.6
DirectX
12 (12_0)
Shader Model
6.5
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.
16
Benchmarks
FP32 (float)
Score
1.537
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS