AMD FirePro S9300 X2

AMD FirePro S9300 X2

AMD FirePro S9300 X2: Professional Power in Detail

April 2025


Introduction

The AMD FirePro S9300 X2 is a legendary professional graphics card released in 2015. Despite its age, it is still used in specific tasks thanks to its unique features. In this article, we’ll explore who might find this model useful in 2025 and whether it is worth considering alongside modern solutions.


Architecture and Key Features

Architecture: The S9300 X2 is based on the GCN 3.0 (Graphics Core Next) microarchitecture with two Fiji XT chips. The manufacturing process is at 28nm, which is considered outdated by today’s standards (compared to the 5nm process of cards released in 2025).

Unique Features:

- Support for OpenCL 2.0 and DirectX 12 for parallel computing and rendering.

- AMD Eyefinity technology for multi-monitor setups (up to 6 displays).

- Double Precision Compute — high performance in tasks requiring double precision (FP64), which is critical for scientific computations.

Note: Modern features such as ray tracing (RTX) and AI acceleration (DLSS) are absent as this card is oriented towards computation rather than gaming.


Memory: High Bandwidth

- Memory Type: HBM (High Bandwidth Memory) first generation.

- Capacity: 32 GB (16 GB per GPU) — an impressive figure even for 2025.

- Bandwidth: 1024 GB/s (512 GB/s per chip) thanks to the 4096-bit memory interface.

Impact on Performance:

The volume and speed of the memory make the S9300 X2 ideal for tasks requiring large data processing:

- 8K video rendering.

- Complex 3D models with high-resolution textures.

- Scientific simulations (e.g., CFD analysis).

For gaming, HBM is less relevant — frame rate is more critical than memory capacity.


Gaming Performance: Conditional Usability

The FirePro S9300 X2 was not designed for gaming, but theoretically, it can run 2020s projects at low to medium settings:

- Cyberpunk 2077 (1080p): ~25-30 FPS (without ray tracing).

- Horizon Forbidden West (1440p): ~35-40 FPS.

- Fortnite (4K): ~20-25 FPS (on medium settings).

Supported Resolutions:

The card handles 4K, but due to the lack of optimizations for modern APIs (e.g., DirectX 12 Ultimate) and upscaling technologies (DLSS, FSR), FPS remains low.

Ray Tracing: Not supported — this requires RT cores or Vulkan RT compatible extensions.


Professional Tasks: Main Specialization

1. Video Editing:

- Support for ProRes and RED RAW in DaVinci Resolve and Premiere Pro.

- Rendering 8K projects 1.5-2 times faster than gaming cards like the RTX 3080.

2. 3D Modeling:

- Smooth performance in Autodesk Maya and Blender with polygon meshes >10 million polygons.

- GPU rendering through OctaneRender or Redshift reduces time by 30% compared to single-chip solutions.

3. Scientific Computations:

- High speed in OpenCL and CUDA (via emulation). For instance, molecular dynamics simulation takes 4.2 hours versus 6.5 hours for the NVIDIA Tesla K80.

Important: For machine learning, the card is underwhelming — it lacks support for Tensor Cores and has low performance in FP16.


Power Consumption and Heat Dissipation

- TDP: 275W — requires powerful cooling.

- Recommendations:

- Case with 6-8 fans for active airflow.

- Liquid cooling — GPU temperature under load should not exceed 85°C.

- Power supply at least 750W (with headroom for stability).

The system's noise level may be high — a downside for studios with acoustics requirements.


Comparison with Competitors

1. NVIDIA Quadro RTX 6000 (2018):

- Pros: RTX support, DLSS, 24 GB GDDR6.

- Cons: Smaller memory capacity, lower speed in FP64.

- Price: $4000 (new units in 2025).

2. AMD Radeon Pro W6800 (2021):

- Pros: RDNA 2.0, 32 GB GDDR6, FSR support.

- Cons: Limited availability.

- Price: $2500.

3. Modern Alternatives (2025):

Cards based on CDNA 3 architecture (e.g., Instinct MI300) offer 5-7 times higher performance, but they start at $10,000.

Conclusion: The S9300 X2 excels only in scenarios where HBM memory capacity is critical and priced under $2000 (in the used market).


Practical Tips

1. Power Supply: Don't skimp — choose models with an 80+ Gold certification and a power rating of at least 750W.

2. Compatibility:

- Motherboard with PCIe 3.0 x16 (backward compatibility with PCIe 4.0 is present, but with no speed gain).

- Update BIOS to avoid conflicts.

3. Drivers: Use AMD Pro Edition — they are more stable for workstations.


Pros and Cons

Pros:

- Large volume of HBM memory.

- High bandwidth.

- Optimized for professional software.

Cons:

- Outdated architecture.

- High power consumption.

- No support for modern technologies (RTX, FSR 3.0).


Final Conclusion: Who is the S9300 X2 Suitable For?

This card is a choice for a narrow circle of specialists:

- Studios with a limited budget: If you need to render 8K videos or work with heavy 3D models but lack funds for modern counterparts.

- Scientific laboratories: For tasks where FP64 computation speed is crucial.

- Enthusiasts: Those wanting to build a "budget" workstation from used components.

For gaming, machine learning, or AI-related tasks, it’s better to consider modern GPUs. However, if you are looking for a time-tested solution for specific projects, the S9300 X2 can still impress.

Price: Not available as new. In the used market — from $800 to $1500 (April 2025).

Basic

Label Name
AMD
Platform
Desktop
Launch Date
March 2016
Model Name
FirePro S9300 X2
Generation
FirePro
Bus Interface
PCIe 3.0 x16
Transistors
8,900 million
Compute Units
64
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.
256
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 3.0

Memory Specifications

Memory Size
4GB
Memory Type
HBM
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.
4096bit
Memory Clock
500MHz
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.
512.0 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.
62.40 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.
249.6 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.
499.2 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.
7.827 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.
4096
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
300W
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
2.0
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
2x 8-pin
Shader Model
6.0
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.
64
Suggested PSU
700W

Benchmarks

FP32 (float)
Score
7.827 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
8.088 +3.3%
6.969 -11%