AMD FirePro S10000 vs NVIDIA TITAN V Comparison

The NVIDIA TITAN V and AMD FirePro S10000 occupy different ends of the hardware spectrum, despite both being end-of-life professional-grade accelerators. The TITAN V, built on Volta architecture, delivers substantially higher raw compute and modern API support, while the FirePro S10000, a GCN 1.0-era server part, offers a legacy feature set. The benchmark data shows a decisive performance gap, with the TITAN V winning both shared tests by margins exceeding 345%. This analysis breaks down where each card excels, the architectural reasons for the disparity, and the practical implications for workloads.

Where Each One Wins

The NVIDIA TITAN V is the clear winner in every measurable category from the data. In the two head-to-head benchmark tests available—Geekbench OpenCL and Geekbench Vulkan—the TITAN V secures both victories. The OpenCL score of 157,265 dwarfs the FirePro S10000’s 30,631, representing a 413.4% delta. Similarly, in Vulkan, the TITAN V’s 152,117 score outpaces the FirePro’s 34,145 by 345.5%. These are not marginal wins; they indicate the TITAN V is in a different performance class entirely for compute-oriented tasks.

The TITAN V also holds a broader benchmark portfolio in the FACT PACK, with scores across DirectX 9, 10, 11, 12, and Passmark G2D/G3D tests. Its Passmark G3D score of 19,805 and GPU compute score of 9,263 highlight strengths in both graphics and compute workloads. The FirePro S10000 has no scores for these tests, suggesting it was not evaluated or lacks the capability to run them effectively, particularly given its older DirectX 12 (11_1) API support.

For the AMD FirePro S10000, there is no benchmark category where it wins outright. Its sole advantage lies in its niche positioning as a server-grade FirePro part with a 375 W TDP and dual 8-pin power connectors, which might appeal to specific legacy server deployments. However, from a performance standpoint, the data shows zero wins against the TITAN V.

Architecture Differences

The architectural gap between these two GPUs is stark. The NVIDIA TITAN V uses the GV100 chip on a 12 nm process from TSMC, packing 21,100 million transistors into an 815 mm² die. This yields a transistor density of 25.9 million per mm². In contrast, the AMD FirePro S10000 uses the Tahiti chip on a 28 nm process, also from TSMC, with 4,313 million transistors on a 352 mm² die, resulting in a density of just 12.3 million per mm². The process node difference alone explains a significant portion of the performance gap, as the TITAN V’s smaller transistors allow for higher clock speeds and more complex logic.

Clock speeds reinforce this divide. The TITAN V has a base clock of 1200 MHz and a boost clock of 1455 MHz, while the FirePro S10000 operates at 825 MHz base and 950 MHz boost. This 505 MHz boost advantage for the TITAN V directly contributes to higher throughput. Memory configurations also differ fundamentally: the TITAN V features 12 GB of HBM2 with a 3072-bit bus and 651.3 GB/s bandwidth, whereas the FirePro S10000 has 3 GB of GDDR5 on a 384-bit bus with 240.0 GB/s bandwidth. The TITAN V’s memory bandwidth is 2.7 times higher, which is critical for data-intensive workloads.

Compute resources heavily favor the TITAN V. It has 5120 shading units, 320 TMUs, 96 ROPs, and 640 tensor cores, delivering 14.90 TFLOPS of FP32 performance and 29.80 TFLOPS of FP16 (2:1). The FirePro S10000 has 1792 shading units, 112 TMUs, and 32 ROPs, with 3.405 TFLOPS of FP32 and no FP16 support listed. The TITAN V’s FP32 throughput is over four times higher, and its tensor cores provide a capability the FirePro lacks entirely. Pixel and texture rates tell a similar story: the TITAN V achieves 139.7 GPixel/s and 465.6 GTexel/s, compared to 30.40 GPixel/s and 106.4 GTexel/s for the FirePro.

Feature support widens the gap further. The TITAN V supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, while the FirePro S10000 is limited to DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. The TITAN V also offers modern display outputs—1x HDMI 2.0 and 3x DisplayPort 1.4a—versus the FirePro’s 1x DVI and 4x mini-DisplayPort 1.2. The TITAN V’s 250 W TDP is lower than the FirePro’s 375 W, despite the former’s vastly superior performance, highlighting the efficiency gains from the 12 nm process.

Head-to-Head Benchmarks

The Geekbench OpenCL test provides the most dramatic comparison. The TITAN V scores 157,265, while the FirePro S10000 manages 30,631. This 413.4% delta is the largest in either card’s benchmark data. OpenCL is a compute-heavy workload that stresses raw ALU throughput and memory bandwidth, both of which the TITAN V dominates. The TITAN V’s 5120 shading units and 651.3 GB/s memory bandwidth allow it to process massive parallel workloads, while the FirePro’s 1792 shading units and 240.0 GB/s bandwidth create a bottleneck. The result suggests that for any OpenCL-based compute task—such as scientific simulation or data processing—the TITAN V is over five times faster.

The Geekbench Vulkan test narrows the gap slightly but still shows a decisive TITAN V victory. The TITAN V scores 152,117, and the FirePro S10000 scores 34,145, a 345.5% delta. Vulkan is a low-level graphics and compute API, and the TITAN V’s newer architecture with support for Vulkan 1.4 (versus 1.2.170) likely contributes to its superior performance. The FirePro’s older GCN 1.0 design was not optimized for modern Vulkan workloads, which is evident in its lower score. Even in a best-case scenario for the FirePro—where Vulkan might reduce the API overhead gap—the TITAN V still achieves a 4.5x advantage.

Beyond these head-to-head tests, the TITAN V’s standalone benchmarks provide additional context. Its Passmark G3D score of 19,805 places it in the 79th percentile of all GPUs, with an average benchmark score of 34,355. The FirePro S10000 sits in the 77th percentile with an average score of 32,388, despite having fewer benchmark results. The TITAN V’s nearest rivals in the FACT PACK—such as the NVIDIA RTX A1000 (avg score 34,207) and AMD Radeon HD 7970 (avg score 34,541)—show it performing within 0.6% of those cards, indicating it holds its own against newer mid-range parts. The FirePro’s rivals, including the AMD Radeon RX 7900 GRE (avg score 32,456), show it similarly competitive within its own generation.

The Verdict

The data is unambiguous: the NVIDIA TITAN V is the superior card for virtually any workload measured. Its 413.4% lead in OpenCL and 345.5% lead in Vulkan mean that any compute task—whether rendering, simulation, or machine learning inference—will complete dramatically faster on the TITAN V. The card’s 14.90 TFLOPS of FP32 performance, 640 tensor cores, and 651.3 GB/s memory bandwidth make it a capable choice for modern compute environments, even at its end-of-life status. The 79th percentile ranking and average benchmark score of 34,355 confirm it remains competitive against newer cards like the RTX A1000.

The AMD FirePro S10000, with its 77th percentile ranking and average score of 32,388, is not without merit, but its strengths lie outside the benchmark data. Its 3 GB of GDDR5 memory and 240.0 GB/s bandwidth are severely limited by today’s standards, and its lack of FP16 support and tensor cores makes it unsuitable for AI workloads. The card’s 375 W TDP and dual 8-pin connectors suggest it was designed for high-performance server environments, but the performance data does not justify that power draw. For users with legacy applications that specifically require FirePro server features, the S10000 might still function, but it offers no performance advantage.

Pick the NVIDIA TITAN V if you need raw compute performance, modern API support, or high memory bandwidth. The data shows it is over four times faster in OpenCL and over three times faster in Vulkan than the FirePro S10000. Pick the AMD FirePro S10000 only if you have a specific, legacy workload that requires its exact feature set—and even then, the performance penalty will be severe. The TITAN V’s lower TDP (250 W vs 375 W) and superior efficiency make it the logical choice for any new deployment.

FAQ

Q: How much faster is the NVIDIA TITAN V in OpenCL?

A: The TITAN V scores 157,265 in Geekbench OpenCL, while the AMD FirePro S10000 scores 30,631. This translates to a 413.4% delta, meaning the TITAN V is over five times faster.

Q: Does the AMD FirePro S10000 have any benchmark wins over the TITAN V?

A: No. In the two head-to-head benchmarks shared (Geekbench OpenCL and Geekbench Vulkan), the TITAN V wins both. The FirePro S10000 has zero wins in the data.

Q: What are the memory specifications for each card?

A: The TITAN V has 12 GB of HBM2 on a 3072-bit bus with 651.3 GB/s bandwidth. The FirePro S10000 has 3 GB of GDDR5 on a 384-bit bus with 240.0 GB/s bandwidth.

Q: Which card supports newer APIs?

A: The TITAN V supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The FirePro S10000 supports DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170.

Q: How do their compute capabilities compare?

A: The TITAN V delivers 14.90 TFLOPS of FP32 and 29.80 TFLOPS of FP16, with 640 tensor cores. The FirePro S10000 delivers 3.405 TFLOPS of FP32 and has no FP16 or tensor core support.

Q: What are the average benchmark scores and percentiles?

A: The TITAN V has an average benchmark score of 34,355 and sits in the 79th percentile of all GPUs. The FirePro S10000 has an average score of 32,388 and sits in the 77th percentile.