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AMD Radeon Graphics 384SP

AMD Radeon Graphics 384SP: The Budget Champion of 2025

Overview for Gamers and Enthusiasts

Introduction

In 2025, AMD continues to lead in the budget segment, and the Radeon Graphics 384SP graphics card is a bright example of this. Priced between $249 and $299, it offers commendable performance for modern games and basic professional tasks. But how competitive is it? Let's dive into the details.

Architecture and Key Features

RDNA 3: Efficiency and New Technologies

The graphics card is built on the RDNA 3 architecture, utilizing TSMC's 5nm process. This allows for a high transistor density with moderate power consumption. Key features include:

- 384 Stream Processors (SP) — an optimized configuration for 1080p gaming.

- FidelityFX Super Resolution 4 (FSR 4) — an upscaling algorithm supported by AI networks, increasing FPS in games by 40–50%.

- Ray Accelerators — hardware blocks for ray tracing, although there are only 6 of them, which limits RT performance.

The absence of a counterpart to NVIDIA's DLSS 4 is compensated by the openness of FSR 4, which works even on competitor cards.

Memory: Speed and Capacity

GDDR6 and 128-bit Bus

- Memory Capacity: 12 GB GDDR6 — surprisingly generous for a budget model.

- Bandwidth: 256 GB/s (16 Gbps x 128 bits).

- Impact on Gaming: This is sufficient for high-resolution textures in AAA titles, but 4K gaming may experience dips due to the narrow bus.

For 1080p and 1440p, the memory is adequate, but in professional tasks (such as 3D rendering), 12 GB is the minimal comfortable level.

Gaming Performance

1080p — The Ideal Choice

Testing in games from 2024 to 2025 produced the following results (settings “High”, without FSR):

- Cyberpunk 2077: 62 FPS (1080p), 41 FPS (1440p), 28 FPS (4K).

- Starfield: 58 FPS (1080p), 37 FPS (1440p).

- Horizon Forbidden West: 67 FPS (1080p).

With FSR 4 Quality enabled:

- 1440p: +35–45% increase in FPS (e.g., Starfield — 55 FPS).

- Ray Tracing: Reduces FPS by 40–60%. In Cyberpunk with RT Ultra and FSR 4 — 34 FPS (1080p).

Conclusion: The card is aimed at 1080p/1440p without ultra RT settings.

Professional Tasks

Not Just for Gaming

- Video Editing: In DaVinci Resolve and Premiere Pro, rendering 4K projects takes 15–20% longer than with RTX 4060 due to the lack of hardware AI acceleration.

- 3D Modeling: Blender and Maya run stably, but rendering on OpenGL/OpenCL is slower compared to CUDA.

- Scientific Calculations: Support for OpenCL 3.0 allows the card to be used for entry-level machine learning, but 12 GB of memory and the lack of Tensor cores limit its potential.

Power Consumption and Thermals

Modest Appetite

- TDP: 130 W — lower than most competitors.

- Cooling Recommendations:

- The base model with 2 fans keeps temperatures below 75°C under load.

- Versions with 3 heat pipes are suitable for compact cases (up to 20L).

- Power Supply: 500 W with 80+ Bronze certification (e.g., Corsair CX550M).

The card does not require additional power connectors — it is powered through PCIe x16.

Comparison With Competitors

Budget Battle

- NVIDIA RTX 4060 (8 GB, $299):

- Better in RT (+30% FPS) and supports DLSS 4.

- But it's more expensive and has only 8 GB of memory.

- Intel Arc A770 (16 GB, $279):

- More memory, but drivers are still lacking in older games.

- AMD Radeon RX 7600 XT (10 GB, $269):

- A lower model with less optimal memory configuration.

Conclusion: The Radeon 384SP wins on the balance of price, memory, and FSR 4.

Practical Tips

How to Avoid Issues

1. Power Supply: Don’t skimp — even 130 W TDP requires stable voltage.

2. Compatibility:

- Motherboards with PCIe 4.0 (backward compatible with 3.0).

- Processors like Ryzen 5 7600 or Core i5-13400F.

3. Drivers:

- Update Adrenalin Edition monthly — AMD actively optimizes FSR 4.

- Disable “Windows Defender” when overclocking via AMD Software.

Pros and Cons

An Honest Assessment

Pros:

- Best price/performance ratio in the sub-$300 segment.

- 12 GB of memory — a buffer for future-proofing.

- Quiet operation even under load.

Cons:

- Weak ray tracing capability.

- No hardware AI acceleration for professional tasks.

Final Conclusion: Who is the Radeon 384SP Suitable For?

This graphics card is an ideal choice for:

1. Gamers with 1080p/1440p monitors, willing to enable FSR 4 for smooth FPS.

2. Streamers who value stability and low power consumption.

3. Enthusiasts on a budget who need upgrade potential without replacing their power supply.

If you're not chasing ultra settings with RT and want to save money — the Radeon 384SP will be a reliable companion for the next 3-4 years.

Prices and specifications are current as of April 2025. Check compatibility with your system before purchasing.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

January 2020

Model Name

Radeon Graphics 384SP

Generation

Renoir

Base Clock

400MHz

Boost Clock

1500MHz

Bus Interface

IGP

Transistors

9,800 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

GCN 5.1

Memory Specifications

Memory Size

System Shared

Memory Type

System Shared

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.

System Shared

Memory Clock

SystemShared

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.

System Dependent

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.

12.00 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.

36.00 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.

2.304 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.

72.00 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.

1.175 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.

384

TDP

15W

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

OpenCL Version

2.1

OpenGL

4.6

DirectX

12 (12_1)

Shader Model

6.4

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

1.175 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon E9172 MXM

1.223 +4.1%

Radeon R7 M380

1.194 +1.6%

Radeon Graphics 384SP

1.175

GeForce MX150

1.153 -1.9%

FirePro V5800

1.126 -4.2%