AMD Radeon R9 M295X Mac Edition
The AMD Radeon R9 M295X Mac Edition is a powerful and efficient GPU designed for high-performance gaming and professional applications on Mac devices. With a 4GB GDDR5 memory size and a memory clock of 1362MHz, this GPU provides fast and responsive graphics rendering, allowing for smooth and immersive gaming experiences.
The 2048 shading units and 512KB L2 Cache contribute to the GPU's impressive processing power, delivering stunning visual effects and realistic graphics. The TDP of 250W ensures that the GPU can handle demanding workloads without overheating, making it a reliable option for intense gaming sessions and resource-heavy creative tasks.
The theoretical performance of 3.482 TFLOPS further demonstrates the GPU's capability to handle complex computations and deliver high frame rates in modern games. Additionally, the M295X Mac Edition is optimized for Mac devices, ensuring seamless integration and compatibility with Apple's hardware and software.
Overall, the AMD Radeon R9 M295X Mac Edition GPU is a top choice for Mac users looking to enhance their gaming and creative experiences. With its impressive specs and efficient performance, this GPU offers a powerful solution for demanding graphics applications on the Mac platform. Whether you're a professional designer or an avid gamer, the M295X Mac Edition delivers the performance and reliability you need to push the boundaries of visual computing on your Mac device.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
November 2014
Model Name
Radeon R9 M295X Mac Edition
Generation
Crystal System
Bus Interface
MXM-B (3.0)
Transistors
5,000 million
Compute Units
32
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.
128
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 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
1362MHz
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.
174.3 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.
27.20 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.
108.8 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.
3.482 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.
217.6 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.
3.552
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
OpenGL
4.6
DirectX
12 (12_0)
Shader Model
6.3
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.
32
Benchmarks
FP32 (float)
Score
3.552
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS