AMD FirePro S10000 vs NVIDIA T1000 8 GB Comparison

The NVIDIA T1000 8 GB and the AMD FirePro S10000 represent two very different eras of workstation graphics, yet their benchmark scores place them in a surprisingly close contest. The data shows the T1000 edges out the older FirePro in the single shared benchmark, but the specifications and architectural philosophies behind each card tell a more complex story about where each GPU is best deployed.

Head-to-Head Benchmarks

The only direct comparison available in the data is the Geekbench Vulkan test, and it is a narrow victory for the NVIDIA T1000 8 GB. The T1000 scores 34,561 points, while the AMD FirePro S10000 trails with 34,145 points. This translates to a delta of just 1.2%, which is effectively a statistical tie in real-world conditions. The T1000’s win here is notable because it accomplishes this with a far lower power envelope and a much more modern architecture, but the margin is so slim that it does not represent a generational leap in raw compute for this particular API.

Looking at the broader benchmark context, the T1000’s average score of 34,561 places it at the 79th percentile of all GPUs. Its nearest rivals include the AMD Radeon HD 7970, which scores 34,541 (a delta of 0.1% in favor of the T1000), and the NVIDIA A2, which scores 34,690 (a delta of -0.4%, meaning the A2 is slightly ahead). The T1000 also outperforms the NVIDIA TITAN V by 0.6% and the NVIDIA RTX A1000 by 1% in this metric. This clustering of scores suggests that the Vulkan performance of the T1000 is right at the median of a very competitive pack of professional and enthusiast cards.

The AMD FirePro S10000, by contrast, has a more varied benchmark profile. Its Geekbench Vulkan score of 34,145 is only slightly below the T1000, but it also has a separate Geekbench OpenCL score of 30,631. Averaging these two results gives the FirePro an average benchmark score of 32,388, which places it at the 77th percentile of all GPUs. The FirePro’s nearest rivals are a collection of AMD cards, including the Radeon RX 7900 GRE (32,456, a delta of -0.2% favoring the FirePro) and the FirePro S9300 X2 (32,540, a delta of -0.5%). The data indicates that while the FirePro holds its own against much newer AMD parts in this aggregate measure, it is the Vulkan result that keeps it competitive with the T1000, while its OpenCL performance drags its average down.

It is also worth noting the difference in raw compute specifications that underpin these benchmark results. The T1000 delivers 2.500 TFLOPS of FP32 performance, whereas the FirePro S10000 offers a higher 3.405 TFLOPS of FP32. Despite having 43% more shading units (1,792 vs. 896) and a wider memory bus (384-bit vs. 128-bit), the FirePro’s lower clock speeds and older GCN 1.0 architecture prevent it from translating that theoretical advantage into a decisive benchmark victory. The T1000 compensates with a boost clock of 1,395 MHz compared to the FirePro’s 950 MHz boost, and its Turing architecture is far more efficient at extracting performance per clock cycle.

The Verdict

From the data alone, the NVIDIA T1000 8 GB is the safer and more versatile choice for most modern workloads. It wins the only head-to-head benchmark available, consumes significantly less power (50 W TDP vs. 375 W), and supports newer API versions, including Vulkan 1.4 and DirectX 12 (12_1) compared to the FirePro’s Vulkan 1.2.170 and DirectX 12 (11_1). The T1000 also offers double the memory capacity at 8 GB of GDDR6, which is critical for larger datasets and textures in professional applications, even if the FirePro’s 3 GB of GDDR5 has higher raw bandwidth (240 GB/s vs. 160 GB/s).

The AMD FirePro S10000 is not without merit, but its advantages are purely theoretical. Its higher FP32 throughput and texture rate (106.4 GTexel/s vs. 78.12 GTexel/s) suggest it could handle certain compute-heavy tasks better, provided the software is optimized for its GCN architecture. However, the FirePro’s launch MSRP was 3,599 USD, and its end-of-life status, dual-slot size, and requirement for two 8-pin power connectors make it an impractical choice for modern systems. The T1000, in contrast, is a single-slot card with no power connectors and a suggested PSU of only 250 W, making it a drop-in upgrade for many existing workstations.

The verdict is clear: the T1000 is the rational pick for virtually any user building or upgrading a system today. The FirePro only makes sense in a legacy environment where its specific compute characteristics are required and where power consumption is not a concern.

Where Each One Wins

The NVIDIA T1000 8 GB wins decisively in efficiency and compatibility. Its 50 W TDP means it can be passively cooled or run in small form-factor systems, and its lack of power connectors simplifies installation. The T1000 also wins on software longevity, with support for Vulkan 1.4 and OpenGL 4.6, ensuring it will run modern applications and games that rely on the latest API features. Its 8 GB memory capacity is a clear advantage for tasks like 3D modeling, video editing, and AI inference, where memory footprint often exceeds 3 GB.

The AMD FirePro S10000 wins in raw memory bandwidth and peak texture throughput. Its 240.0 GB/s bandwidth is 50% higher than the T1000’s 160.0 GB/s, which can benefit workloads that are heavily memory-bound, such as large matrix operations or certain scientific simulations. The FirePro’s 3.405 TFLOPS of FP32 compute is also higher than the T1000’s 2.500 TFLOPS, so in scenarios where the compute units are fully saturated and the software is optimized for GCN, the FirePro could pull ahead. However, these wins are conditional on the software being written to exploit the FirePro’s specific architecture, which is increasingly rare given its 2012 release date.

FAQ

Q: Which card has a higher average benchmark score?

A: The NVIDIA T1000 8 GB has an average benchmark score of 34,561, while the AMD FirePro S10000 has an average score of 32,388. The T1000 also holds a higher percentile ranking at 79th versus the FirePro’s 77th.

Q: Is the AMD FirePro S10000 faster in any benchmark?

A: The data includes a Geekbench OpenCL score for the FirePro of 30,631, but there is no comparable OpenCL score for the T1000 in the dataset. In the shared Geekbench Vulkan test, the T1000 wins by 1.2%.

Q: What are the memory specifications of each card?

A: The T1000 has 8 GB of GDDR6 memory on a 128-bit bus, providing 160.0 GB/s of bandwidth. The FirePro has 3 GB of GDDR5 memory on a 384-bit bus, providing 240.0 GB/s of bandwidth.

Q: Does the FirePro S10000 support newer APIs?

A: No. The FirePro supports DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. The T1000 supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4.

Q: What is the power consumption difference?

A: The T1000 has a TDP of 50 W and requires no power connectors, with a suggested PSU of 250 W. The FirePro has a TDP of 375 W, requires two 8-pin power connectors, and a suggested PSU of 750 W.

Q: Which card has higher raw FP32 compute?

A: The AMD FirePro S10000 has higher FP32 compute at 3.405 TFLOPS, compared to the NVIDIA T1000’s 2.500 TFLOPS. The FirePro also has more shading units (1,792 vs. 896) and TMUs (112 vs. 56).

Architecture Differences

The two cards are built on fundamentally different architectures from different manufacturing eras. The NVIDIA T1000 uses the TU117 chip, based on the Turing architecture, fabricated on a 12 nm process at TSMC. It contains 4,700 million transistors on a 200 mm² die, yielding a transistor density of 23.5 million per mm². Turing introduced significant improvements over previous generations, including better integer and floating-point concurrency, which contributes to its high efficiency despite relatively modest clock speeds.

The AMD FirePro S10000 uses the Tahiti chip, based on the GCN 1.0 architecture, fabricated on a larger 28 nm process at TSMC. It contains 4,313 million transistors on a much larger 352 mm² die, resulting in a lower transistor density of 12.3 million per mm². GCN 1.0 was designed for compute-heavy workloads, which explains the FirePro’s higher shading unit count and texture rate, but it is less efficient per transistor than Turing.

Clock speeds also diverge significantly. The T1000 runs at a base clock of 1,065 MHz and boosts to 1,395 MHz, while the FirePro runs at 825 MHz base and 950 MHz boost. The memory clocks are the same at 1,250 MHz, but the effective data rate differs: the T1000’s GDDR6 runs at 10 Gbps effective, while the FirePro’s GDDR5 runs at 5 Gbps effective.

The display outputs also differ, with the T1000 offering four mini-DisplayPort 1.4a outputs, while the FirePro offers one DVI and four mini-DisplayPort 1.2 outputs. The T1000 is physically smaller at 156 mm in length and 69 mm in height, while the FirePro is a massive 305 mm long and 111 mm tall. The T1000 is also newer, released in May 2021, compared to the FirePro’s November 2012 release, and the T1000’s successor is listed as Workstation Ampere, while the FirePro’s successor is Radeon Pro GCN.