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AMD Radeon RX 7900M

AMD Radeon RX 7900M: Power and Innovation for Gamers and Professionals

Overview of the flagship mobile graphics card for 2025

Architecture and Key Features: RDNA 4 and New Horizons

The AMD Radeon RX 7900M is built on the RDNA 4 architecture, which is an evolution of the successful RDNA 3. The card is manufactured using TSMC's 4nm process, which has increased transistor density by 20% compared to the previous generation. This has resulted in improved performance with lower power consumption.

Unique Features:

- Hybrid Ray Tracing 2.0 — Enhanced ray tracing with hardware acceleration, optimized for mobile systems.

- FidelityFX Super Resolution 4.0 — Upscaling technology that boosts FPS by 50-70% without loss of detail (operates even at 4K).

- Smart Cache VRAM — Dynamic memory cache distribution between the GPU and CPU in systems with Ryzen 7000/8000HX.

- Radeon Anti-Lag+ — Reduction of latency in games by up to 15% compared to the previous generation.

Memory: Speed and Efficiency

The RX 7900M is equipped with 16 GB of GDDR6 memory on a 256-bit bus with a bandwidth of 720 GB/s. An innovation is the support for AMD Infinity Cache 2.0 — 96 MB of third-level cache that reduces latency when working with textures.

Impact on Performance:

- In games with high-resolution textures (e.g., Cyberpunk 2077: Phantom Liberty), the memory capacity allows for Ultra settings at 4K without loading data from the disk.

- For professional tasks (rendering in Blender), 16 GB is the optimal minimum for working with 8K materials.

Gaming Performance: 4K Without Compromises

Testing in games (Ultra settings, without FSR):

- Cyberpunk 2077: 68 FPS at 1440p, 48 FPS at 4K (with ray tracing — 54 FPS and 35 FPS respectively).

- Starfield: 75 FPS at 1440p, 55 FPS at 4K.

- Apex Legends: 144 FPS at 1440p, 112 FPS at 4K.

Ray Tracing:

With Hybrid Ray Tracing 2.0 activated, the FPS drop is only 15-20% (compared to 30-40% for the RX 6900M). The FSR 4.0 technology compensates for losses: for example, in The Witcher 4, 4K + RT delivers stable 60 FPS.

Professional Tasks: Not Just Gaming

The card is optimized for use with OpenCL and ROCm 5.0 (AMD's equivalent of CUDA). Performance examples:

- Blender: Rendering a BMW scene — 3 minutes 22 seconds (compared to 2 minutes 58 seconds on RTX 4080 Mobile).

- DaVinci Resolve: 8K video rendering — 18% faster than RTX 4070 Mobile.

- Machine Learning: Support for PyTorch and TensorFlow libraries via ROCm.

The RX 7900M is suitable for video editing and 3D modeling, but in niche tasks (like rendering with NVIDIA OptiX), it lags behind NVIDIA solutions.

Power Consumption and Heat Generation: Balancing Power

- TDP: 175 W (with potential increase up to 200 W in turbo mode).

- Cooling Recommendations:

— Use laptops with cooling systems that have 3-4 fans (e.g., ASUS ROG Strix Scar 17).

— Avoid prolonged loads at ambient temperatures above 30°C — throttling may occur.

- External Connection Enclosures: Suitable options should support Thunderbolt 5 and have a power supply of at least 330 W.

Comparison with Competitors: Battle of Giants

Main competitors include NVIDIA RTX 4080 Mobile ($2200) and RTX 4090 Mobile ($2800).

- In Gaming: The RX 7900M is 10% faster than the RTX 4080 Mobile at 4K, but 15% slower than the RTX 4090 Mobile.

- Ray Tracing: NVIDIA maintains an edge (DLSS 3.5 vs FSR 4.0), but the gap has narrowed to 8-12%.

- Professional Tasks: The RTX 4090 Mobile wins thanks to CUDA and optimization for creative applications.

Price of RX 7900M: $1900-2100 in gaming laptops (e.g., Lenovo Legion Pro 7).

Practical Tips: How to Avoid Problems

1. Power Supply: A laptop with RX 7900M requires a PSU of at least 330 W.

2. Compatibility:

— The ideal platform is AMD Ryzen 9 8945HX (avoid "narrow" PCIe 4.0 x8 configurations).

— Update the BIOS for Resizable BAR support.

3. Drivers:

— Use "Professional" mode in Adrenalin Edition for fine power tuning.

— Disable automatic overclocking in games with unstable optimization (e.g., Star Citizen).

Pros and Cons

Pros:

- Best price/performance ratio in 4K gaming among top mobile GPUs.

- Support for FSR 4.0 and Anti-Lag+ for esports disciplines.

- Moderate heat generation for a 175 W class.

Cons:

- Lag in ray tracing compared to the RTX 40 series.

- Limited optimization for professional software (e.g., Autodesk Maya).

- High cooling requirements.

Final Conclusion: Who is the RX 7900M For?

This graphics card is the perfect choice for:

1. Gamers who want to play in 4K at ultra settings without building a desktop PC.

2. Content creators working with rendering and editing in the field.

3. AMD enthusiasts who appreciate improvements in Adrenalin 2025 drivers.

If ray tracing in 8K or CUDA rendering is critically important to you, consider the RTX 4090 Mobile. However, for your money, the RX 7900M offers an impressive balance of innovation and power.

Basic

Label Name

AMD

Platform

Mobile

Launch Date

October 2023

Model Name

Radeon RX 7900M

Generation

Navi Mobile

Base Clock

1825MHz

Boost Clock

2090MHz

Bus Interface

PCIe 4.0 x16

Transistors

57,700 million

RT Cores

Compute Units

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.

288

Foundry

TSMC

Process Size

5 nm

Architecture

RDNA 3.0

Memory Specifications

Memory Size

16GB

Memory Type

GDDR6

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

2250MHz

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.

576.0 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.

267.5 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.

601.9 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.

77.05 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.

1204 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.

37.75 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.

4608

L1 Cache

256 KB per Array

L2 Cache

6MB

TDP

180W

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.

1.3

OpenCL Version

2.2

OpenGL

4.6

DirectX

12 Ultimate (12_2)

Power Connectors

None

Shader Model

6.7

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.

128

Benchmarks

FP32 (float)

Score

37.75 TFLOPS

3DMark Time Spy

Score

18134

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon Instinct MI250

46.165 +22.3%

Radeon RX 7800

42.15 +11.7%

Radeon RX 7900M

37.75

GeForce RTX 3080 Ti

33.418 -11.5%

RTX PRO 5000 Blackwell Mobile

31.164 -17.4%

3DMark Time Spy

GeForce RTX 4090

36233 +99.8%

Radeon RX 7900M

18134

GeForce RTX 3070 Ti Mobile

11589 -36.1%

GeForce RTX 2070

9097 -49.8%

GeForce RTX 2070 SUPER Max Q

7333 -59.6%