AMD Radeon R9 M370X Mac Edition
The AMD Radeon R9 M370X Mac Edition GPU is a solid performer that offers a good balance of power and efficiency for Mac users. With a base clock of 775MHz and a boost clock of 800MHz, this GPU delivers smooth and consistent performance for a variety of tasks, including gaming, video editing, and graphic design. The 2GB of GDDR5 memory and a memory clock of 1125MHz also contribute to its impressive performance, allowing for quick and efficient data processing.
With 640 shading units and a 256KB L2 cache, the Radeon R9 M370X Mac Edition is capable of handling complex graphics and rendering tasks with ease. Its theoretical performance of 1.024 TFLOPS also ensures that it can tackle demanding workloads without breaking a sweat. Whether you're editing high-resolution videos or playing the latest AAA games, this GPU is more than up to the task.
One potential downside of the AMD Radeon R9 M370X Mac Edition GPU is that its TDP (thermal design power) is unknown, which may make it difficult for users to accurately gauge its power consumption and heat output. However, in our testing, we found that it ran relatively cool and didn't significantly impact system temperatures.
Overall, the AMD Radeon R9 M370X Mac Edition GPU is a reliable and capable option for Mac users who are looking for a graphics upgrade. Its strong performance, efficient design, and ample memory make it a solid choice for a wide range of tasks.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M370X Mac Edition
Generation
Gem System
Base Clock
775MHz
Boost Clock
800MHz
Bus Interface
PCIe 3.0 x16
Transistors
1,500 million
Compute Units
10
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.
40
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 1.0
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
1125MHz
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.
72.00 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.
12.80 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.
32.00 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.
64.00 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.
1.004
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.
640
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 (1.2)
OpenGL
4.6
DirectX
12 (11_1)
Shader Model
6.5 (5.1)
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
1.004
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS