Home / AMD / AMD Radeon Pro 5300M: Performance and Specs

AMD Radeon Pro 5300M

AMD Radeon Pro 5300M: Mobile GPU for Professionals and Enthusiasts

April 2025

1. Architecture and Key Features

RDNA 1.0 Architecture: A Balance Between Efficiency and Performance

The AMD Radeon Pro 5300M is built on the RDNA 1.0 architecture, which debuted in 2019. Although this platform is considered outdated in 2025, it remains relevant due to its optimization for professional tasks. The manufacturing process is 7 nm (TSMC), ensuring compactness and moderate heat generation.

Unique Features

- FidelityFX: A toolkit from AMD for enhancing graphics, including Contrast Adaptive Sharpening (CAS) and upscaling. However, support is limited to versions from 2019 to 2022.

- Lack of Hardware Ray Tracing: Unlike RDNA 2/3, it does not contain RT accelerator blocks. Ray tracing is only possible through software methods, which reduces FPS.

- Pro Optimization: Support for AMD ProRender and OpenCL technologies for professional applications.

2. Memory: Speed and Limitations

GDDR6 and 4 GB: The Minimum for Modern Tasks

The graphics card is equipped with 4 GB of GDDR6 memory with a 128-bit bus. The bandwidth is 192 GB/s (with an effective frequency of 12 Gbps). This is sufficient for operating at 1080p, but by 2025, this memory capacity is inadequate for gaming with HD textures or high-resolution 3D rendering projects.

Impact on Performance

- Gaming: In games like Cyberpunk 2077 (2023) or Horizon Forbidden West (2024) at ultra settings, stuttering may occur due to video memory overflow.

- Professional Tasks: For editing 4K video in DaVinci Resolve, 4 GB is a critical minimum. It is recommended to lower the resolution or use proxy files.

3. Gaming Performance: Modest Results

1080p: Comfortable, But Not Excessive

In games from 2023–2024, the Radeon Pro 5300M shows:

- Apex Legends: 70–80 FPS (high settings).

- Elden Ring: 45–55 FPS (medium settings).

- Call of Duty: Modern Warfare V: 60 FPS (low/medium).

1440p and 4K: Not for This Card

At 1440p, FPS drops by 30–40%, and 4K remains unattainable even at low settings. Ray tracing, as seen in Metro Exodus Enhanced Edition, reduces performance to 20–25 FPS, which is unacceptable for comfortable gameplay.

4. Professional Tasks: Power in Optimization

Video Editing and 3D Rendering

- DaVinci Resolve, Premiere Pro: Rendering is accelerated through OpenCL support. 4K timelines are processed with delays, but HD is smooth.

- Blender, Maya: AMD ProRender shows 20–30% lower rendering speed compared to NVIDIA RTX 3050 Mobile (CUDA).

Scientific Calculations

- OpenCL: Suitable for basic machine learning tasks (e.g., TensorFlow), but falls short compared to cards with larger memory and CUDA support.

5. Power Consumption and Heat Generation

TDP 65W: Energy Efficiency as an Advantage

The card consumes up to 65W, making it ideal for thin workstations and laptops (e.g., Apple MacBook Pro 16" 2020–2021).

Cooling Recommendations

- Laptops: A system with dual fans and copper heat pipes is essential.

- eGPU Enclosures: When using an external box (e.g., Razer Core X), ensure there is active cooling.

6. Comparison with Competitors

NVIDIA Quadro T1000 (4 GB GDDR6)

- NVIDIA Advantages: Better optimization for professional applications (CUDA), driver stability.

- AMD Advantages: Lower price ($250–$300 vs. $400 for Quadro T1000), support for FidelityFX.

NVIDIA GeForce RTX 3050 Mobile

- The RTX 3050 offers DLSS 3.0 and ray tracing but costs $150–$200 more.

7. Practical Tips

Power Supply

- For laptops: Integrated solutions, units from 90W.

- For eGPU: Minimum unit of 450W (for example, Sonnet Breakaway Box).

Compatibility

- macOS: Full support on MacBook Pro (up to 2023).

- Windows/Linux: Drivers are regularly updated, but conflicts with new APIs may occur.

Drivers

- Use Pro editions of the drivers for stability in work applications.

8. Pros and Cons

Pros

- Low power consumption.

- Optimization for professional tasks.

- Affordable price ($250–$300 for new systems).

Cons

- Only 4 GB of memory.

- No hardware ray tracing.

- Lags behind NVIDIA in CUDA support.

9. Final Conclusion: Who is the Radeon Pro 5300M Suitable For?

This graphics card is a choice for mobile professionals who need reliability in applications like Premiere Pro or Blender without paying extra for "gaming" features. For gamers in 2025, it is already underwhelming, but paired with a quality processor, it can handle indie projects and games from 2020–2022 at medium settings.

Ideal Scenario:

- Designers, editors, students looking for a balance between price and performance in a mobile form factor.

Alternative:

- If the budget allows, consider the AMD Radeon RX 7600M (RDNA 3, 8 GB GDDR6) or NVIDIA RTX 4050 Mobile.

Prices are current as of April 2025. Check availability with official resellers.

Basic

Label Name

AMD

Platform

Mobile

Launch Date

November 2019

Model Name

Radeon Pro 5300M

Generation

Radeon Pro Mac

Base Clock

1000MHz

Boost Clock

1250MHz

Bus Interface

PCIe 4.0 x8

Transistors

6,400 million

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

7 nm

Architecture

RDNA 1.0

Memory Specifications

Memory Size

4GB

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.

128bit

Memory Clock

1500MHz

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.

192.0 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.

40.00 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.

100.0 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.

6.400 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.

200.0 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.

3.264 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.

1280

L2 Cache

2MB

TDP

85W

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

2.1

OpenGL

4.6

DirectX

12 (12_1)

Power Connectors

None

Shader Model

6.5

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

3.264 TFLOPS

Vulkan

Score

24807

OpenCL

Score

29139

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon R9 380

3.406 +4.4%

FirePro S10000 Passive

3.337 +2.2%

Radeon Pro 5300M

3.264

Arc A350

3.133 -4%

Radeon R9 M485X

3.02 -7.5%

Vulkan

Radeon Pro Vega II Duo

98446 +296.8%

Radeon RX 6700S

69708 +181%

Radeon RX 580 2048SP

40716 +64.1%

Radeon Pro 5300M

24807

GeForce 940M

5522 -77.7%

OpenCL

Radeon Pro W5700

69319 +137.9%

Radeon Pro 5600M

48324 +65.8%

Radeon Pro 5300M

29139

GeForce GTX 660 Ti

14328 -50.8%

GeForce GTX 950M

9440 -67.6%