AMD Radeon R9 M395X Mac Edition
About GPU
The AMD Radeon R9 M395X Mac Edition GPU is a powerful graphics processing unit designed for mobile platforms. With a memory size of 4GB and GDDR5 memory type, it offers impressive performance for graphics-intensive tasks such as gaming, video editing, and 3D rendering.
The GPU features a memory clock of 1365MHz and 2048 shading units, allowing for smooth and efficient processing of complex visual data. Additionally, the 512KB L2 cache helps to reduce latency and improve overall system performance.
With a TDP of 250W, the AMD Radeon R9 M395X Mac Edition GPU is certainly not the most power-efficient option on the market. However, this high power consumption is justified by the GPU's impressive theoretical performance of 3.723 TFLOPS. This makes it a great choice for users who prioritize raw processing power and are willing to accept the trade-off in energy efficiency.
In terms of real-world performance, the AMD Radeon R9 M395X Mac Edition GPU delivers excellent results in gaming, video editing, and other demanding tasks. It can handle modern games at high settings and resolutions, as well as provide smooth playback and editing of 4K video content.
Overall, the AMD Radeon R9 M395X Mac Edition GPU is a solid choice for Mac users who require high-performance graphics capabilities. While it may not be the most power-efficient option, its impressive processing power and smooth performance make it a worthwhile investment for those in need of a reliable and capable GPU.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M395X Mac Edition
Generation
Crystal System
Bus Interface
MXM-B (3.0)
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
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.
29.09 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.
116.4 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.
3.723 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.
232.7 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.
3.797
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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
250W
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
3.797
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS