AMD FirePro S10000

The AMD FirePro S10000 is a dual-GPU server card built on the GCN 1.0 architecture, using the Tahiti chip manufactured by TSMC on a 28 nm process. It packs 4,313 million transistors onto a 352 mm² die, resulting in a transistor density of 12.3 million per square millimeter. The card features base and boost clocks of 825 MHz and 950 MHz respectively, and it is now end-of-life, having launched in November 2012 with a launch MSRP of 3,599 USD. Its average benchmark score of 32,388 places it in the 76th percentile of all GPUs, indicating it remains a competitively positioned piece of hardware despite its age, though the data suggests its strengths and weaknesses require careful scrutiny for modern workloads.

Power and Cooling

The FirePro S10000 demands substantial power resources, with a thermal design power (TDP) of 375 W. This is a high figure that directly dictates the rest of the system requirements. Consequently, the recommended power supply is a 750 W unit, which provides a reasonable margin for the card's peak demands alongside other system components. The card's power delivery is handled by two 8-pin PCIe power connectors, which are mandatory for operation; any system integrating this card must have a power supply equipped with these specific connectors.

Cooling is addressed through a dual-slot design, indicating a substantial heatsink and fan assembly capable of dissipating the 375 W of heat generated under load. The physical dimensions support this robust cooling solution, with the card measuring 305 mm in length (12 inches) and 111 mm in height (4.4 inches). This length is significant and will require a spacious chassis with adequate clearance. The data does not specify a width, but the dual-slot footprint means adjacent PCIe slots will be obstructed, a common consideration for multi-GPU server configurations. The combination of a 375 W TDP, dual 8-pin connectors, and a 750 W PSU recommendation clearly positions this card as a power-hungry component intended for workstation or server environments where power delivery is less constrained than in typical consumer desktops.

Ray Tracing and Feature Set

The FirePro S10000's feature set is rooted in its GCN 1.0 architecture, which predates dedicated ray tracing and tensor core hardware; the fact pack lists no RT cores or tensor cores for this card. This means hardware-accelerated ray tracing is not available, and any ray-traced workloads would have to rely on compute shaders, which would be inefficient. The architecture provides 1,792 shading units, 112 texture mapping units (TMUs), and 32 raster operation units (ROPs), which are the core building blocks for traditional rasterization.

API support is a mixed bag. The card supports DirectX 12 with a feature level of 11_1, which allows it to run DirectX 12 titles but without the full feature set of higher-tier implementations. OpenGL support is listed at 4.6, which is current and robust, and Vulkan support is at version 1.2.170, also quite recent. For compute workloads, the card has two benchmark scores: a Geekbench OpenCL score of 30,631 and a Geekbench Vulkan score of 34,145. The Vulkan score being higher than OpenCL suggests that the card's compute capabilities are better utilized through the Vulkan API in this specific benchmark, potentially indicating driver optimizations or architectural efficiencies in that path. The lack of tensor cores also means no dedicated AI acceleration hardware, so machine learning tasks that rely on those features would be unsupported or slow, though the raw FP32 compute of 3.405 TFLOPS could still handle some older or lighter inference tasks.

Memory Subsystem

Memory configuration is a critical aspect of this card's performance profile. It comes equipped with 3 GB of GDDR5 memory, which is accessed via a 384-bit bus. This wide bus interface yields a total memory bandwidth of 240.0 GB/s. The memory clock runs at 1250 MHz, which translates to a 5 Gbps effective data rate. This bandwidth figure is substantial for the card's era, but in modern terms, it may prove to be a bottleneck for high-resolution textures and large datasets.

The 3 GB capacity is the more pressing limitation for contemporary use. At 1080p, 3 GB can be sufficient for many games, but at 1440p and especially 4K, texture-heavy titles can easily exceed this limit, leading to stuttering or reduced texture quality as assets are swapped. The 240.0 GB/s bandwidth, while respectable, is also a constraint; it is lower than what many modern mid-range cards offer, which means that even when the capacity is not exceeded, the speed at which data can be fed to the compute units may limit performance in memory-intensive scenarios. The 384-bit bus is a strength, however, as it allows for high bandwidth at lower memory clocks, which can be beneficial for stability. The combination of 3 GB capacity and 240.0 GB/s bandwidth suggests the card is best suited for compute tasks where memory footprints are controlled, or for gaming at 1080p with moderate settings.

Who Should Consider It

Given its specifications and benchmark scores, the FirePro S10000 is a niche product. The data indicates it sits in the 76th percentile of all GPUs, which is a strong overall position, but its age and memory limitations narrow its appeal. For gamers, this card is only viable for 1080p gaming with older or less demanding titles, or for current titles at lower graphical settings to ensure the 3 GB VRAM is not exceeded. It is not a suitable choice for 4K gaming, as the memory capacity and bandwidth would be severely challenged, and the lack of dedicated ray tracing hardware puts it at a disadvantage in newer titles that feature ray-traced effects.

The more compelling use case is for legacy compute applications. The 3.405 TFLOPS of FP32 performance is still relevant for certain scientific or professional workloads that are not heavily dependent on VRAM size. The high OpenCL and Vulkan scores suggest it can handle general-purpose GPU compute tasks effectively. System builders looking for an inexpensive way to add compute power to a server for tasks like rendering or data processing might find this card acceptable, provided the software is compatible with GCN 1.0 and does not require more than 3 GB of memory. However, for any modern gaming or AI-accelerated workload, the card's limitations make it a poor choice. The dual-slot design and 375 W TDP also mean it is not suited for small form factor builds or systems with limited power delivery.

Benchmark Performance

The benchmark data shows the FirePro S10000 achieving an average score of 32,388, derived from its Geekbench OpenCL and Vulkan results. This places it within a tight cluster of competing GPUs, as indicated by its nearest rivals. The closest competitor is the AMD FirePro S9300 X2, which scores 32,540, a difference of only 0.5%. This is a negligible margin, effectively putting the two cards on par in average performance. The S10000 is also 0.7% behind the AMD Radeon RX 7800 XT, which scores 32,619. This is a more interesting comparison, as the RX 7800 XT is a modern consumer card, and the fact that a 2012 server card is within 1% of it in these specific compute benchmarks reflects the S10000's raw compute power.

Against the NVIDIA P104-100, which scores 32,747, the S10000 is 1.1% slower. The P104-100 is a mining-oriented card, and again, the performance delta is minimal. The largest gap is with the NVIDIA T600 Mobile, which scores 32,849, putting the S10000 1.4% behind. These deltas are all within a narrow band of 1.4%, suggesting that in pure compute throughput, these four very different cards are functionally equivalent. The data implies that for OpenCL and Vulkan compute tasks, the S10000 holds its own surprisingly well, but it does not lead its peer group. The Geekbench Vulkan score of 34,145 is notably higher than the OpenCL score of 30,631, which suggests that the card's performance can vary significantly depending on the API used, potentially favoring Vulkan for compute workloads where driver support is optimized.

FAQ

Q: What is the average benchmark score for the AMD FirePro S10000?

A: The average benchmark score is 32,388, based on a Geekbench OpenCL score of 30,631 and a Geekbench Vulkan score of 34,145.

Q: How does the FirePro S10000 compare to the AMD Radeon RX 7800 XT?

A: The FirePro S10000 is 0.7% slower than the Radeon RX 7800 XT, which has an average score of 32,619.

Q: What is the memory configuration of this card?

A: It has 3 GB of GDDR5 memory on a 384-bit bus, providing 240.0 GB/s of bandwidth.

Q: Does the card support hardware ray tracing?

A: No, the fact pack lists no RT cores for this card, as it is based on the GCN 1.0 architecture.

Q: What power supply is recommended for this card?

A: A 750 W power supply is recommended, and the card requires two 8-pin PCIe power connectors.

Q: What is the card's position among all GPUs?

A: It ranks in the 76th percentile of all GPUs based on its average benchmark score.

How It Compares

The AMD FirePro S9300 X2 is the closest rival, with a score of 32,540. The S10000 is 0.5% behind, a margin so small it is effectively a statistical tie. Both are dual-GPU server cards from AMD, and the data suggests they offer nearly identical compute performance in these benchmarks, making the choice between them dependent on other factors like power efficiency or software compatibility.

The AMD Radeon RX 7800 XT, scoring 32,619, is a modern consumer GPU that the S10000 trails by 0.7%. This is a remarkable result for a card from 2012, indicating that the S10000's raw compute throughput is still competitive with a contemporary mid-range offering. However, the RX 7800 XT would vastly outperform the S10000 in gaming due to its newer architecture, larger memory, and feature set, despite the similar compute scores.

The NVIDIA P104-100, with a score of 32,747, is 1.1% ahead of the S10000. The P104-100 is a specialized card, and the narrow performance gap highlights that the S10000 is not outclassed in pure compute terms. The P104-100 likely has different strengths, but in the Geekbench tests, the S10000 is nearly its equal.

The NVIDIA T600 Mobile, scoring 32,849, is the most significant gap at 1.4% ahead of the S10000. This is a mobile workstation GPU, and its lead over the S10000 is still minimal. The data shows that across all four rivals, the S10000 is within 1.4% of their average scores, which underscores that its compute performance is highly competitive with a diverse range of cards, from its own generation to modern ones.