NVIDIA B200 vs NVIDIA Tesla V100 SXM2 16 GB Comparison

Where Each One Wins

The benchmark data paints a stark picture of generational separation. The NVIDIA B200 wins the only recorded head-to-head benchmark, the Geekbench OpenCL test, with a score of 345,482 against the Tesla V100 SXM2 16 GB’s 87,454. This represents a 295% advantage for the B200, a margin that dwarfs any comparison seen in the rival sets of either card.

The B200’s victory is not merely a matter of a single test, however. Its placement in the database’s performance percentiles reinforces its dominance. The B200 sits at the 100th percentile of all GPUs, meaning it outperforms every other recorded graphics processor in the database. In contrast, the Tesla V100 SXM2 16 GB, while still a strong performer at the 95th percentile, is clearly a step behind. The V100’s average benchmark score of 114,395 is less than one-third of the B200’s average of 345,482.

The use-case split is therefore clear. The B200 is the undisputed champion for any workload that leverages raw computational throughput. Its OpenCL result indicates a massive capacity for general-purpose parallel computing, making it the obvious choice for tasks like large-scale AI training, complex scientific simulations, and data-crunching workloads that can exploit its sheer scale. The B200’s closest rival is the B300 SXM6 AC, which sits 6.6% ahead, and the NVIDIA H200 NVL, which the B200 leads by 3.2%. These are the only cards in its immediate competitive sphere.

The Tesla V100 SXM2 16 GB, despite its age, still holds a niche. Its 95th percentile ranking shows it remains a capable compute accelerator, but its wins are not in absolute performance. Its nearest rivals, such as the NVIDIA RTX A5500 Mobile (0.4% behind) and the AMD Radeon PRO W7900 (3.3% ahead), show that it is competing with a much lower tier of hardware. The V100 is not a card for beating the B200; it is a card that is still useful for legacy applications, specific workloads that have been optimized for the Volta architecture, or as a lower-power, less demanding option. The B200 is the clear choice for new, demanding deployments; the V100 remains a viable option for existing infrastructure.

The Verdict

The verdict is unambiguous. The NVIDIA B200 is the superior product by nearly every measurable metric. Its OpenCL score of 345,482 dwarfs the V100’s 87,454, and its 100th percentile ranking places it at the absolute top of the database. It is the fastest, most compute-capable GPU in the recorded data. The B200 should be selected by any user who requires the absolute maximum compute performance available, particularly for advanced AI, HPC, and scientific research workloads. The data shows that no rival within 3.2% of its score comes close, and the only card ahead of it, the B300 SXM6 AC, is a newer, even more powerful part.

The Tesla V100 SXM2 16 GB, while end-of-life and outclassed, is not without a purpose. Its 95th percentile and its average score of 114,395 place it in the same league as modern workstation cards like the RTX 4000 SFF Ada Generation (which is 2.3% ahead and the RTX A5500 Mobile (which is 0.4% behind). For a user upgrading from an older system, or for a specific application that relies on Volta’s specific feature set, the V100 can still be a workable choice. However, it cannot be recommended for any new, performance-critical deployment where the B200’s 295% advantage is attainable. The choice is straightforward: for maximum performance, pick the B200. For legacy or constrained use cases, the V100 still functions, but it is not a competitive alternative.

Head-to-Head Benchmarks

The direct comparison between the B200 and the V100 is one-sided. The only recorded head-to-head benchmark, Geekbench OpenCL, provides a decisive result.

• Geekbench OpenCL: The B200 scores 345,482, while the V100 scores 87,454. This gives the B200 a 295% advantage. The B200 is the winner.

This single data point is the only direct measurement we have, but it is consistent with the performance class division. The B200’s average benchmark score of 345, is not just a margin of victory; it is a statement of architectural evolution. The V100, in its own time, was a top-tier compute card, but it is now outclassed by nearly 3x.

For context, the B200’s advantage over the V100 is 295% is larger than the V100’s advantage over its own nearest rival, the RTX 4000 SFF Ada Ada (which is 2.3% ahead of it). This means that the B200’s dominance is not just a marginal improvement, it is a generational leap. The V100’s score of 87, is comparable to the B200’s closest competitor’s score of 334,891, which is 3.2% behind the B200. The B200 is in a different performance class entirely.

FAQ

Q: What is the biggest performance difference between the B200 and the V100?

A: The biggest difference is in the Geekbench OpenCL benchmark, where the B200 scores 347,482 versus the V100’s 87,454. This yields a 295% advantage for the B200.

Q: Which GPU has a higher percentile ranking?

A: The NVIDIA B200 is ranked at the 100th percentile of all GPUs. The NVIDIA Tesla V100 SXM2 16 GB is ranked at the 95th percentile. The B200 is the top-ranked part in the database.

Q: How does the B200 compare to its nearest rivals?

A: The B200’s average score of 345, is 3.2% higher than the NVIDIA H200 NVL (334,891), 8.6% higher than the AMD Instinct MI300X (317,994), and 16.8% higher than the NVIDIA L40S (295,763). It is, however, 6.6% lower than the NVIDIA B300 SXM6 AC (369,831).

Q: Is the V100 still a competitive product?

A: The V1000 is not competitive with the B200, but it is competitive with a different tier of GPUs. Its average score of 114, is 0.4% higher than the NVIDIA RTX A5500 Mobile (113,944) and 3.3% higher than the AMD Radeon PRO W7900 (110,725). It is also 2.3% lower than the NVIDIA RTX 4000 SFF Ada Generation (117,088).

Q: What are the performance characteristics of the B200’s memory?

A: The B200 has 90 GB of HBM3e memory on a 4096-bit bus, with a bandwidth of 4.10 TB/s. In contrast, the V1000 has 16 GB of HBM2 memory on a 4096-bit bus, with a bandwidth of 897.0 GB/s.

Q: What is the production status of each card?

A: The B200 is marked as "Active" in production, while the V1000 is "End-of-life". The V1000 was released on 2017-06-20.

Architecture Differences

The architectural divide between the B200 and the V100 is as significant as the benchmark gap. The B200 is built on the Blackwell architecture, while the V100 uses the older Volta architecture. This is not just a naming difference; the underlying silicon represents two distinct generations.

The process node reveals a major leap: the B200 is manufactured on a 5 nm process at TSMC, while the V100 uses a 12 nm process. This smaller node allows the B200 to pack 104,000 million transistors, a massive increase from the V100’s 21,100 million. The B200’s die size is not recorded, but the V100’s is 815 mm², which shows how many more transistors the B200 packs into a smaller space.

The compute resources are also scaled up. The B200 has 18,944 shading units, 592 TMUs, and 24 ROPs. The V100 has 5,120 shading units, 320 TMUs, and 128 ROPs. The B200’s pixel rate is 47.16 GPixel/s, while the V100’s is 195.8 GPixel/s. This is due to the V100’s higher ROP count. The B200’s texture rate, however, is 1,163.3 GTexel/s, over double the V100’s 489.6 GTexel/s.

The tensor cores, which are critical for AI workloads, are present in both. The B200 has 592 tensor cores, while the V100 has 640. The B200’s FP16 performance is 1,191.2 TFLOPS (16:1), which is 38x the V100’s 31.33 TFLOPS (2:1). The B200’s FP32 performance is 74.45 TFLOPS, while the V100 is 15.67 TFLOPS.

Clock speeds differ, too. The B200 has a base clock of 700 MHz and a boost clock of 1965 MHz. The V100 has a base of 1312 MHz and a boost of 1530 MHz. The B200’s memory runs at 2000 MHz (8 Gbps effective), while the V100’s is 876 MHz (1752 Mbps effective). The B200’s bus interface is PCIe 5.0 x16, and the V100’s is PCIe 3.0 x16.

Finally, the power envelope is a major difference. The B200 has a TDP of 1000 W, with a suggested PSUs of 1400 W, while the V100 has a TDP of 250 W, with a suggested PSU of 600 W. This reflects the B200’s massive computational capacity. The B200 is also a larger board, with the V100 being a more modest module. The V100 supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4 APIs, while the B200 has no API data recorded. Both have no display outputs.