AMD Radeon R9 M365X

AMD Radeon R9 M365X

AMD Radeon R9 M365X in 2025: Retrospective and Relevance

Introduction

Although the AMD Radeon R9 M365X was released over ten years ago, it can still be found in old laptops and budget PCs. In 2025, this graphics card draws interest as an example of the evolution of graphics technology. Let's explore what it is capable of today, what lessons can be learned from its architecture, and who might still find it useful.


1. Architecture and Key Features

GCN 3.0 Architecture: The Foundation of an Era

The R9 M365X is built on the Graphics Core Next (GCN) 3.0 architecture, which was considered a breakthrough in 2015. It included 640 stream processors and supported DirectX 12 (feature level 12_0), OpenGL 4.4, and OpenCL 1.2. The card was manufactured using a 28-nm process, which was standard for its time but now seems antiquated compared to AMD's 5-nm RDNA 4 and NVIDIA's Ada Lovelace chips.

Unique Features (for its time)

- Mantle API - A predecessor to Vulkan that optimized CPU interaction.

- TrueAudio - A technology for audio processing on the GPU, later replaced by more universal solutions.

- Eyefinity - Support for up to 6 monitors, relevant for multi-display workstations.

Lack of Modern Technologies

The R9 M365X does not support ray tracing, FSR (FidelityFX Super Resolution), or NVIDIA's counterparts (DLSS, RTX). This makes it useless for games with ray tracing and AI upscaling.


2. Memory: Limitations of an Outdated Standard

GDDR5: The Past

The card is equipped with 4 GB of GDDR5 memory with a 128-bit bus. Its bandwidth is 96 GB/s, which is 3-4 times lower than modern GDDR6X (for example, the RTX 4060 has 360 GB/s). For games in 2025, this is insufficient: even at Full HD, high-resolution textures and post-processing can cause FPS drops.

Impact on Performance

- Frame Buffer: 4 GB is sufficient only for older projects or minimal settings in new ones.

- Bus Architecture: A 128-bit bus is a bottleneck for data processing in modern engines (like Unreal Engine 5 and Snowdrop).


3. Gaming Performance: Nostalgia with Limitations

Full HD (1920×1080): Basic Level

In games from 2015 to 2020, the R9 M365X shows acceptable results:

- The Witcher 3: ~35 FPS at medium settings.

- GTA V: ~45 FPS at high settings.

However, in projects from 2023 to 2025, the card struggles even at low settings:

- Cyberpunk 2077 (version 2.1): ~18-22 FPS (Low, without RT).

- Starfield: ~15 FPS (Low).

1440p and 4K: Unrealistic Expectations

For QHD and 4K, the graphics card is unsuitable—insufficient memory and computing power lead to a slideshow (less than 10 FPS).


4. Professional Tasks: Minimal Suitability

Video Editing and Rendering

In Adobe Premiere Pro (2025), rendering 1080p video will take 3-4 times longer than on a contemporary Radeon RX 7600. Support for OpenCL 1.2 limits compatibility with new plugins.

3D Modeling

Blender and Maya work, but without optimization for older APIs. Rendering medium-complexity scenes in Cycles (OpenCL) can take hours, compared to minutes on GPUs with hardware ray tracing.

Scientific Calculations

CUDA is not available (NVIDIA exclusive), and OpenCL 1.2 has become outdated for modern ML/AI tasks. The card might only be suitable for educational projects.


5. Power Consumption and Thermal Management

TDP: 50–75 W

For a mobile card from 2015, this is standard, but by 2025 even budget laptops offer better energy efficiency. Desktop PCs require a power supply of at least 400 W, but installing the R9 M365X in new systems makes little sense.

Cooling

- Laptops: Noisy fans and overheating under prolonged load.

- PCs: Requires a case with good ventilation. Due to its outdated design (lack of fans with idle stop), the card might generate noise even when idle.


6. Comparison with Competitors

2015 Counterparts:

- NVIDIA GeForce GTX 960M: Comparable in performance but winning due to more stable drivers.

- AMD Radeon R9 M380: Slightly more powerful, but with similar limitations.

In 2025:

- NVIDIA RTX 2050 (laptop): 2-3 times faster, supports DLSS and RT.

- AMD Radeon RX 6500M: 4 times higher performance, FSR 3.0, 6nm process.


7. Practical Tips

Power Supply

A 450 W PSU (80+ Bronze) is sufficient for a PC with the R9 M365X, but consider the card's age: component wear may increase power consumption.

Compatibility

- Platforms: Only systems with PCIe 3.0 x16. Modern PCIe 5.0 motherboards are backward compatible, but the card's potential will not be fully realized.

- Drivers: Official AMD support ended in 2020. There may be issues with Windows 11 24H2 and new Linux distributions.


8. Pros and Cons

Pros:

- Low price on the secondary market ($30–50).

- Suitable for retro gaming and office tasks.

- Easy to replace in older systems.

Cons:

- No support for modern APIs and technologies.

- High power consumption for its performance.

- Risk of failure due to age.


9. Final Conclusion: Who Is the R9 M365X For?

This graphics card is an artifact of the GCN era, relevant in 2025 only for:

1. Retro hardware enthusiasts building PCs from the 2010s.

2. Owners of old laptops where upgrades are impossible.

3. Users with minimal needs (web surfing, office applications).

For gaming and professional tasks, it's better to choose even budget modern GPUs like the Intel Arc A380 or AMD Radeon RX 6400. The R9 M365X remains a niche solution, reminding us of how rapidly the industry evolves.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M365X
Generation
Gem System
Base Clock
900MHz
Boost Clock
925MHz
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
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.
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.
14.80 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.
37.00 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.
74.00 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.
1.16 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
1.16 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
1.219 +5.1%
1.176 +1.4%
1.133 -2.3%