NVIDIA B200 vs NVIDIA Tesla P100 PCIe 12 GB Comparison

FAQ

Q: Which GPU has the higher OpenCL benchmark score?

A: The NVIDIA B200 records a Geekbench OpenCL score of 345,482, while the NVIDIA Tesla P100 PCIe 12 GB scores 79,396. The B200 leads by 335.1% in this single recorded head-to-head test.

Q: How does the B200 compare to its nearest rivals in average benchmark scores?

A: The B200 sits 3.2% above the NVIDIA H200 NVL (334,891), 8.6% above the AMD Instinct MI300X (317,994), and 16.8% above the NVIDIA L40S (295,763). It trails the NVIDIA B300 SXM6 AC by 6.6% (369,831).

Q: What is the memory configuration difference between these two cards?

A: The B200 features 90 GB of HBM3e memory on a 4096-bit bus with 4.10 TB/s bandwidth. The Tesla P100 PCIe 12 GB has 12 GB of HBM2 memory on a 3072-bit bus with 549.1 GB/s bandwidth.

Q: Are these cards from the same architecture generation?

A: No. The B200 uses the Blackwell architecture with the GB100 chip, while the Tesla P100 PCIe 12 GB uses the Pascal architecture with the GP100 chip. Their generations are listed as Server Blackwell (Bxx) and Tesla Pascal (Pxx) respectively.

Q: What is the production status of each GPU?

A: The B200 is listed as Active production, while the Tesla P100 PCIe 12 GB is End-of-life. The P100 has a release date of 2016-06-19.

Q: Which card has a smaller manufacturing process node?

A: The B200 is built on a 5 nm process at TSMC, while the Tesla P100 PCIe 12 GB uses a 16 nm process, also at TSMC. The B200's process is considerably more advanced.

Architecture Differences

The NVIDIA B200 and NVIDIA Tesla P100 PCIe 12 GB represent two distinct eras of GPU design. The B200 is built on the Blackwell architecture using the GB100 chip, manufactured on a 5 nm process at TSMC. It packs 104,000 million transistors. The Tesla P100 PCIe 12 GB uses the Pascal architecture with the GP100 chip, on a 16 nm process at TSMC, containing 15,300 million transistors. The transistor count difference is substantial: the B200 holds nearly seven times more transistors than the P100.

The B200's memory subsystem is dramatically larger and faster. It carries 90 GB of HBM3e memory with a 4096-bit bus, delivering 4.10 TB/s of bandwidth. The Tesla P100 PCIe 12 GB uses 12 GB of HBM2 memory on a 3072-bit bus, achieving 549.1 GB/s. The B200's bandwidth advantage is roughly 7.5 times that of the P100.

Core configurations also differ sharply. The B200 has 18,944 shading units, 592 TMUs, 24 ROPs, and 592 tensor cores. The Tesla P100 PCIe 12 GB has 3,584 shading units, 224 TMUs, and 96 ROPs, with no tensor cores. The B200's shading unit count is more than five times higher, and its tensor core presence marks a fundamental architectural addition that the Pascal-based P100 lacks.

Clock behavior is worth noting. The B200 operates at a lower base clock of 700 MHz but boosts to 1,965 MHz. The Tesla P100 PCIe 12 GB runs at a base clock of 1,190 MHz and boosts to 1,329 MHz. The B200's boost clock is significantly higher, and its memory clock is listed at 2000 MHz with 8 Gbps effective, whereas the P100's memory clock is 715 MHz with 1430 Mbps effective.

Pixel and texture rates also reflect the generational gap. The B200 outputs 47.16 GPixel/s and 1,163.3 GTexel/s, while the Tesla P100 PCIe 12 GB outputs 127.6 GPixel/s and 297.7 GTexel/s. The B200 has a higher texture rate by a wide margin, but the P100 has a higher pixel rate due to its larger ROP count relative to its core count.

Power requirements differ enormously. The B200 has a TDP of 1000 W and a suggested PSU of 1400 W, while the Tesla P100 PCIe 12 GB has a TDP of 250 W and a suggested PSU of 600 W. The B200 is an SXM Module form factor, while the P100 is a dual-slot PCIe card with a single 8-pin power connector.

Where Each One Wins

The B200 dominates in raw compute throughput. Its FP32 performance is 74.45 TFLOPS versus 9.526 TFLOPS for the Tesla P100 PCIe 12 GB, a difference of roughly 6.8 times. In FP16, the B200 delivers 1,191.2 TFLOPS (16:1 ratio), while the P100 offers 19.05 TFLOPS (2:1 ratio). The B200's FP16 capability is orders of magnitude higher, making it the clear choice for AI training and inference workloads that rely on reduced precision.

The B200 also wins decisively in memory capacity and bandwidth. With 90 GB of HBM3e and 4.10 TB/s, it can hold far larger models and datasets in memory compared to the P100's 12 GB HBM2 at 549.1 GB/s. For large-scale deep learning, scientific simulation, or data analytics, the B200's memory advantage is transformative.

The Tesla P100 PCIe 12 GB, however, retains advantages in specific areas. Its pixel rate of 127.6 GPixel/s exceeds the B200's 47.16 GPixel/s, which may matter for certain graphics-oriented tasks. The P100 also has a higher ROP count at 96 versus 24, and its dual-slot PCIe form factor with a 250 W TDP makes it far easier to integrate into existing servers without specialized power or cooling infrastructure. Its 267 mm length fits standard chassis.

The P100 also supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3 APIs, while the B200 lists no API support in the database. For legacy workloads or environments requiring these graphics APIs, the P100 is the functional option.

In benchmark percentile terms, the B200 ranks in the 100th percentile of all GPUs, while the Tesla P100 PCIe 12 GB ranks in the 92nd percentile. The P100 remains a capable performer relative to its era, but the B200 sits at the absolute top of the database.

Specification Differences

| Specification | NVIDIA B200 | NVIDIA Tesla P100 PCIe 12 GB |

| --- | --- | --- |

| Chip | GB100 | GP100 |

| Architecture | Blackwell | Pascal |

| Generation | Server Blackwell (Bxx) | Tesla Pascal (Pxx) |

| Process Node | 5 nm | 16 nm |

| Transistors | 104,000 million | 15,300 million |

| Die Size | Not listed | 610 mm² |

| Base Clock | 700 MHz | 1190 MHz |

| Boost Clock | 1965 MHz | 1329 MHz |

| Memory Clock | 2000 MHz, 8 Gbps effective | 715 MHz, 1430 Mbps effective |

| Memory Size | 90 GB | 12 GB |

| Memory Type | HBM3e | HBM2 |

| Memory Bus Width | 4096 bit | 3072 bit |

| Memory Bandwidth | 4.10 TB/s | 549.1 GB/s |

| Shading Units | 18,944 | 3,584 |

| TMUs | 592 | 224 |

| ROPs | 24 | 96 |

| Tensor Cores | 592 | None |

| Pixel Rate | 47.16 GPixel/s | 127.6 GPixel/s |

| Texture Rate | 1,163.3 GTexel/s | 297.7 GTexel/s |

| FP32 | 74.45 TFLOPS | 9.526 TFLOPS |

| FP16 | 1,191.2 TFLOPS (16:1) | 19.05 TFLOPS (2:1) |

| TDP | 1000 W | 250 W |

| Slot Width | SXM Module | Dual-slot |

| Power Connectors | Not listed | 1x 8-pin |

| Suggested PSU | 1400 W | 600 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 3.0 x16 |

| Display Outputs | No outputs | No outputs |

| Production Status | Active | End-of-life |

| Release Date | Not listed | 2016-06-19 |

| Predecessor | Server Hopper | Tesla Maxwell |

| Successor | Server Rubin | Tesla Volta |

| Launch MSRP | Not listed | 4,599 USD |

Head-to-Head Benchmarks

The database contains one recorded head-to-head benchmark between these two GPUs: Geekbench OpenCL. The NVIDIA B200 scores 345,482, and the NVIDIA Tesla P100 PCIe 12 GB scores 79,396. The B200 wins with a delta of 335.1%.

This result aligns with the broader performance metrics. The B200's FP32 throughput of 74.45 TFLOPS is roughly 6.8 times the P100's 9.526 TFLOPS. Its memory bandwidth of 4.10 TB/s is about 7.5 times the P100's 549.1 GB/s. The OpenCL benchmark delta of 335.1% is consistent with these hardware advantages, though it is lower than the raw compute ratio, suggesting that the benchmark may not fully saturate the B200's capabilities.

For context on the B200's standing, its nearest rivals in the database are the NVIDIA H200 NVL (334,891, 3.2% lower), the NVIDIA B300 SXM6 AC (369,831, 6.6% higher), the AMD Instinct MI300X (317,994, 8.6% lower), and the NVIDIA L40S (295,763, 16.8% lower). The B200 outperforms all but the B300, which is a newer sibling.

The Tesla P100 PCIe 12 GB's nearest rivals are all close in score: the NVIDIA Tesla P100 PCIe 16 GB (79,605, 0.3% higher), the NVIDIA GeForce RTX 5090 (79,842, 0.6% higher), the AMD Radeon RX 6850M XT (78,940, 0.6% lower), and the AMD Radeon Pro Vega 64X (80,959, 1.9% higher). The P100's score of 79,396 places it in a tight cluster, indicating that its performance is typical for its generation and class.

The wins count is decisive: the B200 wins 1 of 1 head-to-head tests, while the P100 wins none. There is no benchmark in the database where the Tesla P100 PCIe 12 GB outperforms the B200.

The Verdict

The data supports a single clear conclusion: the NVIDIA B200 is the superior GPU in nearly every measurable dimension. Its OpenCL score is 335.1% higher than the Tesla P100 PCIe 12 GB. Its FP32 compute is 74.45 TFLOPS versus 9.526 TFLOPS, and its FP16 capability of 1,191.2 TFLOPS dwarfs the P100's 19.05 TFLOPS. Memory capacity is 90 GB versus 12 GB, and bandwidth is 4.10 TB/s versus 549.1 GB/s.

The B200 is designed for modern AI and high-performance computing workloads. Its tensor cores, massive memory pool, and high-bandwidth HBM3e make it suitable for large model training and inference. The 5 nm process and 104,000 million transistors enable a level of compute density that the 16 nm, 15,300 million transistor P100 cannot approach.

The Tesla P100 PCIe 12 GB retains relevance only in specific legacy scenarios. Its 250 W TDP and dual-slot PCIe form factor allow deployment in standard servers without the 1400 W PSU requirement of the B200. Its support for DirectX 12, OpenGL 4.6, and Vulkan 1.3 APIs means it can handle graphics workloads where the B200 lists no API support. Its pixel rate of 127.6 GPixel/s also exceeds the B200's 47.16 GPixel/s, which could matter for certain visualization tasks.

However, the P100 is end-of-life, while the B200 is active. The P100's launch MSRP was 4,599 USD, but the database does not list a price for the B200. In terms of production status, availability, and performance, the B200 is the forward-looking choice.

For users building new systems for AI, scientific computing, or data-intensive workloads, the B200 is the clear pick. For those maintaining legacy infrastructure with modest power budgets or needing graphics API support, the Tesla P100 PCIe 12 GB remains a functional option, but it cannot compete on raw performance. The benchmark data is unambiguous: the B200 wins the head-to-head by a wide margin, and its overall percentile ranking of 100 versus 92 confirms its position at the top of the database.