AMD Radeon Instinct MI60 vs NVIDIA H200 NVL Comparison

Where Each One Wins

The benchmark record is unambiguous: the NVIDIA H200 NVL wins every recorded head-to-head comparison against the AMD Radeon Instinct MI60. In the single available OpenCL test, the H200 NVL delivers a score of 334,891 versus 92,488 for the MI60, a margin of 262.1%. That is not a narrow lead; it is a generational gap that shows up across every workload category represented in the data.

The H200 NVL sits at the 100th percentile of all GPUs in the database, meaning no recorded GPU scores higher in the aggregate benchmark. Its nearest rivals are the NVIDIA B300 SXM6 AC at 369,831 (the H200 trails by 9.4%), the NVIDIA B200 at 345,482 (trails by 3.1%), the AMD Instinct MI300X at 317,994 (leads by 5.3%), and the NVIDIA L40S at 295,763 (leads by 13.2%). This places the H200 NVL in the top tier of server accelerators, competing directly with the newest Blackwell parts and beating the previous-generation MI300X.

The AMD Radeon Instinct MI60, by contrast, sits at the 93rd percentile, a strong result for its era but far below the H200 NVL. Its nearest rivals are the AMD Radeon Pro VII at 97,131 (the MI60 trails by 4.8%), the AMD Radeon RX 7900M at 97,487 (trails by 5.2%), the NVIDIA RTX A4500 at 91,671 (leads by 0.9%), and the NVIDIA RTX A4500 Mobile at 91,134 (leads by 1.5%). The MI60 is competitive with mid-range workstation GPUs, but it is not in the same performance class as the H200 NVL.

The use-case split is therefore straightforward. For compute workloads that scale with raw OpenCL throughput, memory bandwidth, and FP32/Fp16 execution resources, the H200 NVL is the clear choice. The MI60 still has a role for legacy deployments or environments where its smaller power envelope and older architecture are acceptable, but the data does not support choosing it for peak performance.

Architecture Differences

The two GPUs come from different architectural eras entirely. The NVIDIA H200 NVL uses the GH100 chip built on the Hopper architecture, fabricated on a 5 nm process at TSMC. It packs 80,000 million transistors into a die size of 814 mm², yielding a transistor density of 98.3 million per mm². The AMD Radeon Instinct MI60 uses the Vega 20 chip based on GCN 5.1, also fabricated at TSMC but on a 7 nm process. It contains 13,230 million transistors on a 331 mm² die, for a density of 40.0 million per mm².

The transistor count difference is enormous: the H200 NVL has roughly six times the transistors of the MI60, and its die is nearly two and a half times larger. The manufacturing process advantage (5 nm versus 7 nm) further widens the gap in density and efficiency.

Memory configurations differ just as dramatically. The H200 NVL comes with 141 GB of HBM3e memory on a 6144-bit bus, delivering 4.89 TB/s of bandwidth. The MI60 has 32 GB of HBM2 on a 4096-bit bus, delivering 1.02 TB/s. The H200 NVL offers more than four times the capacity and nearly five times the bandwidth. Memory clock speeds are also different: the H200 NVL runs at 1593 MHz (6.4 Gbps effective), while the MI60 runs at 1000 MHz (2 Gbps effective).

Compute resources follow the same pattern. The H200 NVL has 16,896 shading units, 528 TMUs, 24 ROPs, and 528 tensor cores. The MI60 has 4,096 shading units, 256 TMUs, and 64 ROPs, with no tensor cores listed. The H200 NVL has more than four times the shading units and more than double the TMUs, though the MI60 has more ROPs (64 versus 24). The H200 NVL also includes dedicated tensor cores, which the MI60 lacks entirely, a critical feature for AI and deep learning workloads.

Clock speeds are closer than the architectural gap might suggest. The H200 NVL has a base clock of 1365 MHz and a boost clock of 1785 MHz. The MI60 has a base clock of 1200 MHz and a boost clock of 1800 MHz. The MI60 actually boosts slightly higher, but the H200 NVL's massive resource advantage overwhelms any clock speed difference.

Head-to-Head Benchmarks

The only recorded head-to-head benchmark is geekbench_opencl, and the result is decisive. The NVIDIA H200 NVL scores 334,891, while the AMD Radeon Instinct MI60 scores 92,488. That is a delta of 262.1% in favor of the H200 NVL, meaning the H200 NVL is more than 3.6 times faster in this test.

Context from the nearest rivals makes the result even more striking. The H200 NVL beats the AMD Instinct MI300X by 5.3%, a newer and much larger AMD accelerator. It trails the NVIDIA B200 by only 3.1% and the B300 SXM6 AC by 9.4%, both of which are newer Blackwell parts. The MI60, by comparison, is within 5% of the NVIDIA RTX A4500 and RTX A4500 Mobile, and it trails the Radeon Pro VII by 4.8% and the RX 7900M by 5.2%. The MI60 is not merely slower than the H200 NVL; it is in a completely different performance tier.

The H200 NVL's FP32 throughput is 60.32 TFLOPS versus 14.75 TFLOPS for the MI60. FP16 throughput is 120.6 TFLOPS (2:1) versus 29.49 TFLOPS (2:1). Texture rate is 942.5 GTexel/s versus 460.8 GTexel/s. Pixel rate is the one metric where the MI60 wins: 115.2 GPixel/s versus 42.84 GPixel/s for the H200 NVL, a result of the MI60's higher ROP count and higher boost clock. For rasterization-style workloads that depend on pixel throughput, the MI60 has a narrow advantage, but the H200 NVL dominates every compute-oriented metric.

The Verdict

The data points to one conclusion: the NVIDIA H200 NVL is the superior GPU by every compute metric recorded, and the gap is large. Its OpenCL score is 262.1% higher, its FP32 throughput is roughly four times higher, its FP16 throughput is roughly four times higher, and its memory bandwidth is nearly five times higher. It also has 141 GB of memory versus 32 GB, which matters for large model inference and training.

The AMD Radeon Instinct MI60 is an older part, released in 2018, and its production status is end-of-life. The H200 NVL was released in 2024 and remains active. The MI60 does have advantages: lower TDP (300 W versus 600 W), a lower suggested PSU (700 W versus 1000 W), a single 6-pin plus 8-pin power connector setup versus the H200 NVL's 8-pin EPS, and a mini-DisplayPort output (the H200 NVL has no display outputs). It also has a higher pixel rate (115.2 GPixel/s versus 42.84 GPixel/s) and higher ROP count (64 versus 24).

For anyone selecting a GPU for compute-heavy workloads, the H200 NVL is the clear pick. For legacy deployments, low-power environments, or rasterization-focused tasks where pixel rate matters, the MI60 remains functional, but its performance tier is far below the H200 NVL. The database shows a 93rd percentile GPU versus a 100th percentile GPU. There is no scenario in the recorded data where the MI60 wins.

FAQ

Q: How much faster is the NVIDIA H200 NVL than the AMD Radeon Instinct MI60 in OpenCL?

A: The H200 NVL scores 334,891 versus 92,488 for the MI60, a delta of 262.1%.

Q: What are the memory sizes of these two GPUs?

A: The H200 NVL has 141 GB of HBM3e, while the MI60 has 32 GB of HBM2.

Q: Which GPU has higher memory bandwidth?

A: The H200 NVL delivers 4.89 TB/s, compared to 1.02 TB/s for the MI60.

Q: Does the MI60 have tensor cores?

A: No tensor cores are listed for the MI60. The H200 NVL has 528 tensor cores.

Q: What is the FP32 performance of each GPU?

A: The H200 NVL delivers 60.32 TFLOPS, while the MI60 delivers 14.75 TFLOPS.

Q: Which GPU has a higher pixel rate?

A: The MI60 has a pixel rate of 115.2 GPixel/s, higher than the H200 NVL's 42.84 GPixel/s.

Specification Differences

| Specification | NVIDIA H200 NVL | AMD Radeon Instinct MI60 |

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

| Architecture | Hopper | GCN 5.1 |

| Chip | GH100 | Vega 20 |

| Process Node | 5 nm | 7 nm |

| Transistors | 80,000 million | 13,230 million |

| Die Size | 814 mm² | 331 mm² |

| Transistor Density | 98.3M / mm² | 40.0M / mm² |

| Base Clock | 1365 MHz | 1200 MHz |

| Boost Clock | 1785 MHz | 1800 MHz |

| Memory Size | 141 GB | 32 GB |

| Memory Type | HBM3e | HBM2 |

| Memory Bus Width | 6144 bit | 4096 bit |

| Memory Bandwidth | 4.89 TB/s | 1.02 TB/s |

| Shading Units | 16896 | 4096 |

| TMUs | 528 | 256 |

| ROPs | 24 | 64 |

| Tensor Cores | 528 | None |

| FP32 Performance | 60.32 TFLOPS | 14.75 TFLOPS |

| FP16 Performance | 120.6 TFLOPS (2:1) | 29.49 TFLOPS (2:1) |

| Pixel Rate | 42.84 GPixel/s | 115.2 GPixel/s |

| Texture Rate | 942.5 GTexel/s | 460.8 GTexel/s |

| TDP | 600 W | 300 W |

| Power Connectors | 8-pin EPS | 1x 6-pin + 1x 8-pin |

| Suggested PSU | 1000 W | 700 W |

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

| Display Outputs | No outputs | 1x mini-DisplayPort 1.4a |

| DirectX Support | N/A | 12 (12_1) |

| OpenGL Support | N/A | 4.6 |

| Vulkan Support | N/A | 1.3 |

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

| Release Date | 2024-11-17 | 2018-11-17 |

| Predecessor | Server Ada | FirePro Data Center |

| Successor | Server Blackwell | None |

| OpenCL Score | 334,891 | 92,488 |

| Percentile vs All GPUs | 100 | 93 |

| Average Benchmark Score | 334,891 | 92,466 |