AMD Radeon R9 M370X Mac Edition

AMD Radeon R9 M370X Mac Edition

AMD Radeon R9 M370X Mac Edition: A Retrospective and Relevance in 2025

Introduction

In 2015, AMD introduced the mobile graphics card Radeon R9 M370X, which became one of the last GPUs officially supported in Apple Mac computers. Despite its venerable age, this model is still found in used Mac devices, and its features continue to interest enthusiasts. Let's explore what makes this card noteworthy in 2025 and who might find it useful.


1. Architecture and Key Features

Architecture: The R9 M370X is based on the Graphics Core Next (GCN) 1.0 microarchitecture (codename “Cape Verde”). It is the second generation of GCN, optimized for a balance between performance and energy efficiency.

Manufacturing Process: 28 nm — standard for budget and mid-range solutions from the mid-2010s. In comparison, modern GPUs from AMD and NVIDIA are manufactured using 5–6 nm processes.

Unique Features:

- Support for Mantle API (the predecessor to Vulkan), which accelerates rendering in games.

- AMD Eyefinity technology for connecting multiple monitors.

- Lack of modern features: Ray Tracing (RTX), DLSS, or FidelityFX Super Resolution (FSR) are not supported.

Conclusion: The card is oriented towards basic tasks and games from the 2010s but is unsuitable for contemporary projects with advanced graphics.


2. Memory: Specifications and Impact on Performance

- Memory Type: GDDR5 (not to be confused with GDDR6 or HBM).

- Capacity: 2 GB — a minimal specification even for games from 2015–2017.

- Bus: 128-bit.

- Bandwidth: 96 GB/s (memory frequency — 1500 MHz, effective — 6000 MHz).

Practical Impact:

- In games like The Witcher 3 (2015) at 1080p and medium settings, the memory capacity becomes a bottleneck: textures load with delays, and there may be micro-stutters.

- For working in graphic editors (Photoshop, Lightroom), 2 GB is sufficient, but rendering complex 3D scenes in Blender is challenging.


3. Gaming Performance

FPS Tests (at launch):

- GTA V (1080p, medium settings): 35–45 FPS.

- Overwatch (1080p, low settings): 50–60 FPS.

- CS:GO (1080p, high settings): 70–90 FPS.

In 2025:

- Modern AAA titles (Cyberpunk 2077 Phantom Liberty, Starfield) will not run on the R9 M370X due to insufficient VRAM and outdated architecture.

- Indie games (Hades, Stardew Valley) and retro console emulators work comfortably.

Resolutions:

- 1080p: The only realistic option for gaming.

- 1440p and 4K: Not recommended — the GPU will struggle even with the OS interface without lag.


4. Professional Tasks

- Video Editing: In Final Cut Pro X (optimized for macOS), 1080p footage processing is possible, but 4K material will cause stuttering.

- 3D Modeling: Blender and Maya can operate in basic scenarios, but rendering on the GPU via OpenCL is 2–3 times slower than on modern Radeon RX 7000 or NVIDIA RTX 40 series.

- Scientific Calculations: Support for OpenCL 1.2 allows the card to be used for simple tasks, but the lack of hardware acceleration for AI (like in CUDA) limits its application.

Conclusion: The R9 M370X is only suitable for entry-level professional tasks.


5. Power Consumption and Heat Dissipation

- TDP: 50–65 W — a modest figure even by 2025 standards.

- Cooling: In Mac devices, passive or hybrid cooling systems (heat sink + quiet fan) were used.

- Recommendations:

- Regularly clean the system from dust (relevant for used Macs).

- Avoid prolonged loads above 80% — overheating may occur due to worn thermal paste.

Tip: For older MacBook Pros or iMacs with this card, consider installing utilities like Macs Fan Control to manually adjust fan speeds.


6. Comparison with Competitors

2015 Analogues:

- NVIDIA GeForce GTX 960M: 10–15% faster in games, but more expensive.

- AMD Radeon R9 M395X: The flagship model for Mac with 4 GB of memory — outperforms the M370X by 30–40%.

In 2025:

- Even a budget NVIDIA GTX 1650 (4 GB GDDR6) is 3–4 times more powerful.

- Integrated GPUs like the Ryzen 7 8700G (Radeon 780M) exceed the R9 M370X in all parameters.

Conclusion: The card remains relevant only as an upgrade for older Macs where GPU replacement is impossible.


7. Practical Tips

- Power Supply: The built-in power supply in Mac devices is rated for the card's TDP — no additional power is required.

- Compatibility: Works only in certain models of MacBook Pro (15-inch, Mid 2015) and iMac (Retina 5K, 27-inch, Late 2014–2015).

- Drivers: Support for macOS is limited to versions up to Monterey (2021). Newer OS versions (Sonoma, 2023+) lack official drivers.

Hack: To run modern applications, use tools like OpenCore Legacy Patcher to bypass macOS limitations.


8. Pros and Cons

Pros:

- Silent operation in standard scenarios.

- Full integration with macOS (for older versions).

- Low power consumption.

Cons:

- Outdated architecture.

- Insufficient memory for modern tasks.

- Lack of support for new technologies (Ray Tracing, AI upscaling).


9. Final Conclusion: Who Will Benefit from the R9 M370X in 2025?

This graphics card is a relic from an era when Apple was still using discrete AMD GPUs in their computers. In 2025, it can be recommended to:

- Owners of old Macs who need to extend the device's life for surfing, office tasks, or photo editing.

- Enthusiasts collecting retro hardware.

- Users working with specialized macOS software that does not require powerful graphics.

Alternative: If your Mac supports eGPU, consider connecting an external GPU (such as the Radeon RX 6600) via Thunderbolt 3 — this will provide a performance boost of 5–7 times.

Price: New R9 M370X units have not been sold since 2017. On the secondary market, prices range from $30 to $80 depending on condition.


Conclusion

The AMD Radeon R9 M370X Mac Edition is an example of a “frozen in time” solution that was a worthy choice for Mac users a decade ago. Today, its role is limited to supporting legacy systems, but even in this capacity, it demonstrates how rapidly the GPU industry is evolving. For those who value nostalgia or seek minimalism, this card will remain a symbol of a bygone era.

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
1.072 +6.8%
1.037 +3.3%
1.007 +0.3%
0.941 -6.3%