AMD Radeon R9 M390 Mac Edition
About GPU
The AMD Radeon R9 M390 Mac Edition GPU is a powerful mobile graphics card that delivers impressive performance for a wide range of tasks, from gaming to content creation. With a memory size of 2GB and GDDR5 memory type, it offers fast and efficient memory performance for smooth and seamless operation. The memory clock speed of 1365MHz further enhances its ability to handle demanding applications and games.
The GPU features 1024 shading units, providing excellent rendering capabilities for high-quality graphics and visual effects. Additionally, with a 512KB L2 cache, it can efficiently handle large amounts of data for improved overall performance.
One of the standout features of the AMD Radeon R9 M390 Mac Edition GPU is its low TDP (Thermal Design Power) of 80W, which means it provides powerful performance without consuming excessive energy or generating excessive heat. This makes it an excellent choice for use in Mac systems where power efficiency is highly valued.
With a theoretical performance of 1.962 TFLOPS, this GPU is more than capable of handling modern games and demanding professional applications. Whether you're a gamer, video editor, or 3D designer, the AMD Radeon R9 M390 Mac Edition GPU provides the performance and reliability you need to get the job done.
Overall, the AMD Radeon R9 M390 Mac Edition GPU offers a compelling combination of power, efficiency, and performance, making it a great choice for Mac users who demand high-quality graphics and seamless operation.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M390 Mac Edition
Generation
Crystal System
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
1365MHz
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.
174.7 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.
30.66 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.
61.31 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.
122.6 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.
1.923
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.
1024
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
80W
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
1.2
Benchmarks
FP32 (float)
Score
1.923
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS