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AMD Radeon Pro W6300M

AMD Radeon Pro W6300M: Power for Professionals in a Compact Format

April 2025

Architecture and Key Features

RDNA 3: Efficiency and Innovation

The AMD Radeon Pro W6300M graphics card is built on the RDNA 3 architecture, optimized for professional tasks. The manufacturing technology is a 5nm process from TSMC, ensuring high energy efficiency and compactness.

Unique Features

- FidelityFX Super Resolution (FSR) 3.0: Enhances performance in applications and games through upscaling with minimal loss of quality.

- Ray Accelerators: Support for hardware ray tracing, although the focus is on rendering in 3D editors rather than gaming.

- Infinity Cache: 32MB cache to reduce latency when accessing memory.

The absence of an equivalent to NVIDIA's DLSS is compensated by the cross-platform capability of FSR, which works even on older GPUs.

Memory: Speed and Capacity

GDDR6: Optimal Balance

The card is equipped with 4GB of GDDR6 memory with a 128-bit bus. The bandwidth is 160GB/s. This is sufficient for 4K video editing and working with CAD models, but it may become a bottleneck in heavy scenes with 8K textures.

For professional tasks, memory capacity is critical: 4GB is adequate for Lightroom or Premiere Pro, but for Blender with complex scenes, it is better to consider models with 8GB or more.

Gaming Performance: Modest Capabilities

1080p: Basic Gaming

The W6300M is positioned as a professional card but can run modern games at medium settings:

- Cyberpunk 2077: ~35 FPS (1080p, medium settings, FSR 3.0 enabled).

- Apex Legends: ~60 FPS (1440p, high settings).

Ray Tracing: Feasible only in hybrid projects (such as Minecraft RTX) with FSR, but with a drop in FPS to 20-25. For gaming, it is better to choose the Radeon RX 7600M or NVIDIA RTX 4050.

Professional Tasks: Main Specialization

Video Editing and Rendering

- Premiere Pro: Renders a 4K project in 12-15 minutes (compared to 8-10 minutes for the NVIDIA T1000).

- DaVinci Resolve: Full support for OpenCL and hardware decoding of AV1.

3D Modeling

- Blender: Using HIP (similar to CUDA) accelerates rendering by 20% compared to the previous generation.

- SolidWorks: Certified drivers ensure stability in CAD applications.

Scientific Calculations

Support for OpenCL and ROCm allows the card to be used in machine learning (limited due to 4GB of memory) and simulations.

Power Consumption and Heat Dissipation

TDP 50W: Silence and Compactness

Thanks to low heat output, the W6300M is ideal for thin workstations (e.g., Dell Precision 5470m). Passive or single-fan cooling is recommended.

Assembly Tips:

- A ventilated case for SFF PCs (e.g., Fractal Design Node 202).

- No additional power connectors needed — power via PCIe x8.

Comparison with Competitors

NVIDIA T1000 4GB:

- Pros: Better in CUDA tasks, supports OptiX.

- Cons: Higher price ($350 compared to $300 for W6300M).

AMD Radeon Pro W6400:

- Pros: 8GB of memory.

- Cons: TDP 75W, requires a 6-pin connector.

Intel Arc Pro A60:

- Pros: Cheaper ($250).

- Cons: Weak support for professional software.

Practical Tips

1. Power Supply: A 300W power supply with an 80+ Bronze certification is sufficient.

2. Compatibility: Check for PCIe 4.0 x8 support on the motherboard.

3. Drivers: Use AMD Pro Edition for stability in professional applications. Update through Radeon Pro Software.

Pros and Cons

Pros:

- Low power consumption.

- Certification for professional software.

- Affordable price ($300).

Cons:

- 4GB of memory is a bit low for 2025.

- Limited gaming performance.

Final Verdict: Who is the W6300M for?

This graphics card is the choice for professionals who value mobility and energy efficiency. It is ideal for:

- Designers working in Adobe Suite.

- Engineers using CAD on compact PCs.

- Editors processing 4K without real-time rendering.

Gamers and machine learning specialists should consider other options. But if you need a reliable, quiet, and affordable card for work — the W6300M will be an excellent companion.

Basic

Label Name

AMD

Platform

Mobile

Launch Date

January 2022

Model Name

Radeon Pro W6300M

Generation

Radeon Pro Mobile

Base Clock

1512MHz

Boost Clock

2040MHz

Bus Interface

PCIe 4.0 x4

Transistors

5,400 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.

Foundry

TSMC

Process Size

6 nm

Architecture

RDNA 2.0

Memory Specifications

Memory Size

2GB

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.

32bit

Memory Clock

2000MHz

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.

64.00 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.

65.28 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.

97.92 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.

6.267 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.

195.8 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.

3.196 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.

768

L1 Cache

128 KB per Array

L2 Cache

1024KB

TDP

25W

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.

Benchmarks

FP32 (float)

Score

3.196 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS

FirePro S7150 x2

3.363 +5.2%

Radeon 680M

3.311 +3.6%

Radeon Pro W6300M

3.196

Quadro M5000M

3.055 -4.4%

Radeon R9 M395 Mac Edition

2.929 -8.4%