AMD FirePro S9150
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD FirePro S9150 Specifications
GPU Core
Shader units and compute resources
The AMD FirePro S9150 GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
FirePro S9150 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the FirePro S9150's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The FirePro S9150 by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's FirePro S9150 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The FirePro S9150's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
FirePro S9150 by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the FirePro S9150, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
FirePro S9150 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD FirePro S9150 against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
GCN 2.0 Architecture & Process
Manufacturing and design details
The AMD FirePro S9150 is built on AMD's GCN 2.0 architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the FirePro S9150 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the AMD FirePro S9150 determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the FirePro S9150 to maintain boost clocks without throttling.
FirePro S9150 by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD FirePro S9150 are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
AMD API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the AMD FirePro S9150. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
FirePro S9150 Product Information
Release and pricing details
The AMD FirePro S9150 is manufactured by AMD as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the FirePro S9150 by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About AMD FirePro S9150
The AMD FirePro S9150 is a server-oriented compute accelerator built on the GCN 2.0 architecture, featuring the Hawaii chip manufactured on a 28 nm process at TSMC. With 6,200 million transistors on a 438 mm² die, this dual-slot card was released in August 2014 and is now end-of-life, targeting high-throughput workloads rather than graphical output, as indicated by its lack of display outputs.
Benchmark Performance
The benchmark data for the FirePro S9150 presents an unusual case: the average benchmark score is listed as 0, and the product occupies the 50th percentile among all GPUs. This positioning suggests that the S9150’s performance profile is defined more by its raw compute specifications than by standardized gaming or synthetic benchmark results, which are absent from the fact pack. Consequently, performance analysis must rely on the card’s theoretical throughput metrics rather than comparative scores against rivals.
The S9150’s computational core consists of 2,816 shading units, 176 texture mapping units, and 64 raster operations pipelines. These resources translate to a peak pixel rate of 57.60 GPixel/s and a texture rate of 158.4 GTexel/s. The floating-point performance is rated at 5.069 TFLOPS for FP32 operations, a figure that places the card firmly in the professional compute segment of its era. When contextualized against the 50th percentile ranking, this suggests the S9150 was neither a top-tier performer nor a low-end part at the time of its release, but rather a mid-pack option for server workloads.
The absence of nearest rivals in the fact pack means there are no direct delta percentages to report. However, the 5.069 TFLOPS FP32 figure can be interpreted as the card’s primary performance metric, given that server accelerators of this generation were often evaluated on raw compute throughput for scientific simulations, financial modeling, and similar FP32-heavy tasks. The 28 nm process node and GCN 2.0 architecture indicate a design focused on compute efficiency, with the 235 W TDP reflecting the power envelope required to sustain that throughput.
How It Compares
Without nearest rival data, the comparison framework must rely on the card’s own specifications and its position within the broader product family. The FirePro S9150 belongs to the FirePro Server generation (Sx100 family), with its predecessor being the FirePro Terascale and its successor the Radeon Pro GCN. This lineage shows a clear architectural progression: the S9150’s GCN 2.0 design represents a shift toward unified shader architectures that could handle both graphics and compute workloads, whereas the Terascale predecessor used a different scalar architecture.
In the context of its generation, the S9150’s 16 GB GDDR5 memory capacity was substantial for a server card, positioning it above typical workstation offerings of the period. The 512-bit memory bus and 320.0 GB/s bandwidth further reinforce its server-grade positioning, as these figures were designed to feed the 2,816 shading units without bottlenecking during large dataset processing. The card’s dual-slot form factor and requirement for a 550 W suggested PSU indicate it was intended for rack-mounted systems with adequate cooling and power delivery, not consumer desktops.
The 50th percentile ranking suggests that, when compared to all GPUs across different eras and market segments, the S9150 sits exactly at the median. This is a meaningful data point: it implies that despite being a server-focused product with no display outputs, its compute capabilities were sufficient to rank equally with a wide range of consumer and professional graphics cards. However, the zero average benchmark score tempers this interpretation, as it indicates no standardized benchmarks were recorded or published for this specific SKU.
Ray Tracing and Feature Set
The FirePro S9150 does not include dedicated ray tracing cores or tensor cores, as these hardware units were not part of the GCN 2.0 architecture. Instead, the card relies on its 2,816 shading units to handle all compute and graphics tasks, including any ray tracing workloads that might be executed via software or compute shaders. This approach was standard for GPUs of the 2014 era, where ray tracing was not yet a hardware-accelerated feature in consumer or professional graphics.
The API support includes DirectX 12 (12_0), OpenGL 4.6, and Vulkan 1.2.170. This combination is notable because it shows the S9150 received long-term driver support that extended well beyond its release date, enabling compatibility with modern API standards despite its age. The DirectX 12 (12_0) support is particularly relevant for compute workloads, as this API exposes low-level hardware access that can be leveraged for general-purpose GPU computing. The Vulkan 1.2.170 support similarly provides cross-platform compute capabilities, making the card usable in modern Linux-based server environments.
The absence of display outputs confirms the S9150’s role as a compute accelerator rather than a rendering device. All processing is intended to be offloaded via the PCIe 3.0 x16 interface, with results returned to the host system. This design choice eliminates the need for video encoding or display controllers, allowing the full die area to be dedicated to shading units and memory controllers.
Who Should Consider It
Given the benchmark scores and specifications, the FirePro S9150 is suitable for compute-focused workloads that require high FP32 throughput and large memory capacity. The 5.069 TFLOPS FP32 performance, combined with 16 GB of GDDR5 memory, makes it viable for scientific computing, data analysis, and machine learning inference tasks that fit within the 320.0 GB/s memory bandwidth. The card’s 50th percentile ranking suggests it can handle mid-range compute workloads, though it would not be competitive with modern accelerators.
For users working with datasets that exceed 8 GB but fit within 16 GB, the S9150’s memory capacity is a distinct advantage. The 512-bit bus width ensures that data can be moved quickly between the GPU and memory, which is critical for workloads that repeatedly access large arrays or matrices. The lack of display outputs means this card is not suitable for workstation use where visual output is required; it is strictly a secondary compute device.
The 235 W TDP and 550 W suggested PSU requirement indicate that the S9150 draws significant power under load. Systems integrating this card must have adequate cooling and power delivery, particularly in multi-GPU server configurations where several cards might be installed. The dual-slot form factor also limits installation density, as each card occupies two expansion slots. The PCIe 3.0 x16 interface provides sufficient host bandwidth for most compute workloads, though newer PCIe 4.0 or 5.0 systems would offer higher transfer rates.
FAQ
Q: What is the memory capacity and type of the AMD FirePro S9150?
A: The card features 16 GB of GDDR5 memory with a 512-bit bus width, providing a memory bandwidth of 320.0 GB/s.
Q: Does the FirePro S9150 support modern graphics APIs?
A: Yes, it supports DirectX 12 (12_0), OpenGL 4.6, and Vulkan 1.2.170, which allows for compatibility with modern computing frameworks.
Q: What is the FP32 compute performance of the S9150?
A: The card delivers 5.069 TFLOPS of FP32 performance, driven by 2,816 shading units operating at a memory clock of 1250 MHz (5 Gbps effective).
Q: Can the FirePro S9150 be used for display output?
A: No, this card has no display outputs. It is designed exclusively as a compute accelerator for server environments.
Q: What power supply is recommended for a system with this card?
A: The suggested PSU rating is 550 W, with the card itself having a TDP of 235 W and requiring one 6-pin and one 8-pin power connector.
Q: What is the production status of the FirePro S9150?
A: The card is end-of-life, having been released on August 6, 2014. Its predecessor is the FirePro Terascale and its successor is the Radeon Pro GCN.
Memory Subsystem
The memory subsystem of the FirePro S9150 is a defining feature, comprising 16 GB of GDDR5 memory connected via a 512-bit bus. This configuration yields a total memory bandwidth of 320.0 GB/s, which is achieved at a memory clock of 1250 MHz (5 Gbps effective). The combination of high capacity and wide bus width makes the S9150 particularly well-suited for workloads that require large working sets to reside entirely in GPU memory.
For high-resolution compute tasks, such as rendering large 3D scenes or processing high-resolution imagery, the 16 GB capacity allows more data to be kept on-chip, reducing the need for PCIe transfers to and from host memory. The 320.0 GB/s bandwidth ensures that the 2,816 shading units remain fed with data during intensive operations. At 4K or higher resolutions, the memory subsystem can handle multiple large textures and buffers simultaneously, which is critical for performance in professional visualization applications.
The 512-bit bus width is significant because it allows the memory controller to access 64 bytes per clock cycle (512 bits / 8 bits per byte). When combined with the 64 ROPs, this enables a pixel rate of 57.60 GPixel/s, which is more than sufficient for compute-based image processing tasks. The 158.4 GTexel/s texture rate further indicates that the card can process complex shading operations without texture fetch bottlenecks. However, it is important to note that the memory operates at a modest 1250 MHz, which is lower than some later GDDR5 implementations, but the wide bus compensates for this by providing high aggregate bandwidth. For users considering the S9150 for memory-intensive workloads, the 16 GB capacity and 320.0 GB/s bandwidth represent the card’s primary strengths, while the 5.069 TFLOPS FP32 throughput provides the computational muscle to utilize that memory effectively.
Detailed benchmark scores and charts for the AMD FirePro S9150 are below.
Benchmark Scores
No benchmark data available for this GPU.
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