NVIDIA B200 vs NVIDIA RTX 5000 Ada Generation Comparison

# Head-to-Head Benchmarks

The single available head-to-head benchmark, Geekbench OpenCL, delivers a decisive verdict in favor of the NVIDIA B200. The B200 scores 345,482, while the RTX 5000 Ada Generation scores 175,286. That is a delta of 97.1% — essentially double the performance. The B200 wins the only direct comparison, and the margin is not subtle; it is a near-total sweep in raw compute throughput.

However, the context of these two cards could not be more different. The B200's score places it at the 100th percentile of all GPUs in the database, meaning it sits at the absolute top of the performance distribution. The RTX 5000 Ada, by contrast, sits at the 98th percentile — still elite, but with clear company above it. The B200's average benchmark score of 345,482 is not just higher; it is a different tier of compute entirely.

Looking at the B200's nearest rivals reinforces the scale of its lead. It is 3.2% ahead of the NVIDIA H200 NVL (334,891), 8.6% ahead of the AMD Instinct MI300X (317,994), and 16.8% ahead of the NVIDIA L40S (295,763). The only GPU in its immediate vicinity that beats it is the B300 SXM6 AC, which is 6.6% faster — but that is a newer, adjacent-generation part. Against everything else, the B200 is the clear reference point.

For the RTX 5000 Ada, the competitive picture is far more crowded. Its average score of 184,664 puts it within 0.5% of the NVIDIA A100 SXM4 80 GB (183,725) and 1.3% behind the A100 SXM4 40 GB (187,147). It edges the RTX PRO 5000 Blackwell by 1.4% (182,109) and the GeForce RTX 4090 D by 3.7% (178,050). These are narrow margins — the RTX 5000 Ada is swapping blows with previous-generation accelerators, not lapping them.

The delta between the two cards in this head-to-head is so large that it raises an immediate question: are these even competing in the same workload category? The data suggests the B200 is a compute monster designed for scale-out workloads, while the RTX 5000 Ada is a workstation GPU optimized for a different balance of capabilities. The benchmark score alone does not tell the full story — the RTX 5000 Ada also has a Geekbench Vulkan score of 194,041, which is higher than its OpenCL result, hinting at different strengths across APIs.

Where Each One Wins

The B200 wins the only head-to-head benchmark, and it wins by a landslide. But the broader data reveals distinct use-case profiles that go beyond a single score.

NVIDIA B200 wins in: pure compute throughput, memory bandwidth, and large-scale data processing. Its 74.45 TFLOPS FP32 performance is 14% higher than the RTX 5000 Ada's 65.28 TFLOPS. Its FP16 performance is a staggering 1,191.2 TFLOPS (16:1) versus the RTX 5000 Ada's 65.28 TFLOPS (1:1) — that is an 18x advantage in half-precision throughput, which is critical for AI training and inference workloads. The B200's memory bandwidth of 4.10 TB/s is 7.1x higher than the RTX 5000 Ada's 576.0 GB/s. With 90 GB of HBM3e memory versus 32 GB of GDDR6, the B200 can hold far larger models and datasets in memory without spilling to slower storage.

NVIDIA RTX 5000 Ada wins in: rasterization throughput, pixel processing, and practical workstation usability. Its pixel rate of 448.8 GPixel/s is 9.5x higher than the B200's 47.16 GPixel/s. Its 176 ROPs versus 24 ROPs is a massive difference in fill-rate-bound workloads. The RTX 5000 Ada also has a higher boost clock (2550 MHz vs 1965 MHz) and base clock (1155 MHz vs 700 MHz), which speaks to its responsiveness in interactive tasks. It draws 250 W versus 1000 W, making it far easier to integrate into a desktop workstation. It also has display outputs (4x DisplayPort 1.4a) whereas the B200 has none — the B200 is not designed to drive a monitor at all.

The RTX 5000 Ada also supports a full API stack — DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 — while the B200 lists no API support in the data. This reinforces the RTX 5000 Ada's role for graphics, visualization, and real-time rendering, while the B200 is a pure compute accelerator.

Architecture Differences

These two GPUs come from fundamentally different architectural lineages, and the data makes the split clear.

The B200 is built on the Blackwell architecture, using the GB100 chip, fabricated on a 5 nm process at TSMC. It packs 104,000 million transistors — the largest transistor count in this comparison. The RTX 5000 Ada uses the Ada Lovelace architecture with the AD102 chip, also on a 5 nm TSMC process, but with 76,300 million transistors on a 609 mm² die. The B200's die size is not listed, but its transistor count is 36% higher than the RTX 5000 Ada's, suggesting a substantially larger chip.

Memory architecture is where the divergence is starkest. The B200 uses HBM3e with a 4096-bit bus, delivering 4.10 TB/s of bandwidth. The RTX 5000 Ada uses GDDR6 on a 256-bit bus, delivering 576.0 GB/s. The bus width difference — 4096-bit versus 256-bit — is a 16x gap, which explains the bandwidth disparity. The B200's 90 GB capacity is also 2.8x the RTX 5000 Ada's 32 GB.

The compute unit counts tell a similar story. The B200 has 18,944 shading units, 592 TMUs, and 592 tensor cores. The RTX 5000 Ada has 12,800 shading units, 400 TMUs, and 400 tensor cores. The B200 leads in all three by roughly 48%. But the RTX 5000 Ada has 100 RT cores while the B200 lists none, and the ROP count flips decisively: 176 for the RTX 5000 Ada versus 24 for the B200.

The FP16 ratio is a key architectural tell. The B200's FP16 performance is listed at 1,191.2 TFLOPS with a 16:1 ratio — meaning it trades massive FP16 throughput for reduced precision, a design choice optimized for AI workloads. The RTX 5000 Ada's FP16 is 65.28 TFLOPS at 1:1, meaning it maintains full precision at half the rate, which is better suited to graphics and scientific computing where precision matters.

Power and physical design further differentiate them. The B200 is an SXM module with a 1000 W TDP and a suggested PSU of 1400 W. The RTX 5000 Ada is a dual-slot card with a 250 W TDP, a single 16-pin power connector, and a 600 W suggested PSU. The B200 has no display outputs; the RTX 5000 Ada has four DisplayPort 1.4a outputs. The bus interface also differs: PCIe 5.0 x16 for the B200 versus PCIe 4.0 x16 for the RTX 5000 Ada.

FAQ

Q: Which GPU has higher raw compute performance?

A: The NVIDIA B200. Its Geekbench OpenCL score of 345,482 is 97.1% higher than the RTX 5000 Ada's 175,286. Its FP32 throughput is 74.45 TFLOPS versus 65.28 TFLOPS, and its FP16 throughput is 1,191.2 TFLOPS versus 65.28 TFLOPS.

Q: Which GPU is better for graphics and display output?

A: The RTX 5000 Ada is the only one with display capabilities. It has 4x DisplayPort 1.4a outputs, supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and has a pixel rate of 448.8 GPixel/s — 9.5x higher than the B200's 47.16 GPixel/s. The B200 has no display outputs.

Q: How do their memory systems compare?

A: The B200 has 90 GB of HBM3e on a 4096-bit bus with 4.10 TB/s bandwidth. The RTX 5000 Ada has 32 GB of GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth. The B200's bandwidth is 7.1x higher and its capacity is 2.8x larger.

Q: What is the power consumption difference?

A: The B200 has a TDP of 1000 W with a suggested PSU of 1400 W. The RTX 5000 Ada has a TDP of 250 W with a suggested PSU of 600 W. The RTX 5000 Ada uses a single 16-pin power connector; the B200 is an SXM module.

Q: How does the RTX 5000 Ada compare to its closest rivals?

A: Its average benchmark score of 184,664 is within 0.5% of the A100 SXM4 80 GB (183,725), 1.3% behind the A100 SXM4 40 GB (187,147), 1.4% ahead of the RTX PRO 5000 Blackwell (182,109), and 3.7% ahead of the RTX 4090 D (178,050).

Q: Which GPU has more tensor cores?

A: The B200 has 592 tensor cores, while the RTX 5000 Ada has 400. The B200 also has more shading units (18,944 vs 12,800) and TMUs (592 vs 400).

Specification Differences

| Specification | NVIDIA B200 | NVIDIA RTX 5000 Ada Generation |

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

| Architecture | Blackwell | Ada Lovelace |

| Process Node | 5 nm | 5 nm |

| Transistors | 104,000 million | 76,300 million |

| Die Size | Not listed | 609 mm² |

| Base Clock | 700 MHz | 1155 MHz |

| Boost Clock | 1965 MHz | 2550 MHz |

| Memory Size | 90 GB | 32 GB |

| Memory Type | HBM3e | GDDR6 |

| Memory Bus Width | 4096 bit | 256 bit |

| Memory Bandwidth | 4.10 TB/s | 576.0 GB/s |

| Memory Clock | 2000 MHz (8 Gbps effective) | 2250 MHz (18 Gbps effective) |

| Shading Units | 18,944 | 12,800 |

| TMUs | 592 | 400 |

| ROPs | 24 | 176 |

| RT Cores | Not listed | 100 |

| Tensor Cores | 592 | 400 |

| Pixel Rate | 47.16 GPixel/s | 448.8 GPixel/s |

| Texture Rate | 1,163.3 GTexel/s | 1,020.0 GTexel/s |

| FP32 Performance | 74.45 TFLOPS | 65.28 TFLOPS |

| FP16 Performance | 1,191.2 TFLOPS (16:1) | 65.28 TFLOPS (1:1) |

| TDP | 1000 W | 250 W |

| Slot Width | SXM Module | Dual-slot |

| Power Connectors | Not listed | 1x 16-pin |

| Suggested PSU | 1400 W | 600 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x16 |

| Display Outputs | No outputs | 4x DisplayPort 1.4a |

| DirectX Support | Not listed | 12 Ultimate (12_2) |

| OpenGL Support | Not listed | 4.6 |

| Vulkan Support | Not listed | 1.4 |

| Dimensions | Not listed | 267 mm (10.5 inches) length, 112 mm (4.4 inches) height |

| Release Date | Not listed | 2023-08-08 |

The Verdict

The data draws a clear line between these two GPUs, and the choice comes down to workload, not preference.

Choose the NVIDIA B200 if your work is dominated by massive parallel compute, AI training, or inference at scale. The 97.1% OpenCL lead over the RTX 5000 Ada is not a marginal edge; it is a generation-defining gap. The B200's 90 GB of HBM3e with 4.10 TB/s bandwidth and 1,191.2 TFLOPS FP16 throughput make it the obvious pick for large model training and high-throughput data processing. Its 100th percentile ranking among all GPUs confirms it is the top compute part in the database. The 1000 W TDP and SXM form factor signal that this is a data-center component, not a desktop workstation card.

Choose the NVIDIA RTX 5000 Ada Generation if your work involves graphics, visualization, or real-time rendering alongside compute. Its 448.8 GPixel/s pixel rate is 9.5x higher than the B200's, its 176 ROPs handle fill-rate-bound workloads far better, and its display outputs make it usable in an interactive workstation environment. The 250 W TDP and dual-slot design fit a standard desktop chassis, and the full API support (DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4) covers the graphics stack the B200 lacks entirely. Its 98th percentile ranking is still elite, and its performance is competitive with the A100 line — within 0.5% of the 80 GB variant — while offering a more accessible form factor.

The B200 is a compute accelerator. The RTX 5000 Ada is a workstation GPU. Both are top-tier in their respective domains, but the benchmark data shows they are not interchangeable. If you need raw compute, the B200 is the answer. If you need graphics, display output, and a practical desktop footprint, the RTX 5000 Ada is the answer. The 97.1% benchmark gap is real, but it measures a dimension where the B200 is purpose-built to dominate and the RTX 5000 Ada is not designed to compete.