NVIDIA GeForce RTX 4060 Max-Q vs NVIDIA H20 Comparison

The NVIDIA GeForce RTX 4060 Max-Q and the NVIDIA H20 represent two profoundly different design philosophies from the same manufacturer. The former is a 35 W integrated-class mobile part aimed at thin-and-light laptops, while the latter is a 500 W SXM server module built for dense compute environments. Their shared 5 nm TSMC process node and NVIDIA branding are nearly the only points of contact; everything else, from memory architecture to compute focus, diverges sharply. The recorded data shows a clear split: the RTX 4060 Max-Q is a rasterization-oriented graphics processor, while the H20 is a data-center accelerator with a heavy emphasis on throughput and capacity.

Where Each One Wins

The RTX 4060 Max-Q wins decisively in every traditional graphics workload category. It delivers 70.56 GPixel/s of pixel throughput and 141.1 GTexel/s of texture throughput, figures that are 48.5% and 22.9% higher than the H20’s 47.52 GPixel/s and 617.8 GTexel/s respectively. The H20’s texture rate is actually 4.4 times higher, but the pixel rate advantage goes to the mobile part because the H20 has only 24 ROPs compared to 48 on the RTX 4060 Max-Q. The H20 is also missing a DirectX 12 Ultimate feature level, OpenGL, and Vulkan support entirely, making it unsuitable for conventional gaming or workstation graphics. The RTX 4060 Max-Q supports all three APIs, including DirectX 12 Ultimate (12_2), which confirms its role as a client-side graphics solution.

The H20 wins in raw compute and memory capacity. Its FP32 throughput of 39.54 TFLOPS is 4.4 times higher than the RTX 4060 Max-Q’s 9.032 TFLOPS. In FP16, the gap widens dramatically: the H20 reaches 79.07 TFLOPS (2:1 ratio) versus 9.032 TFLOPS (1:1 ratio) on the RTX 4060 Max-Q, an 8.8-fold advantage. The H20’s 96 GB of HBM3 memory with a 6144-bit bus delivers 4.03 TB/s of bandwidth, which is 15.7 times the RTX 4060 Max-Q’s 8 GB GDDR6 at 256.0 GB/s. The H20 also has 312 tensor cores to the RTX 4060 Max-Q’s 96, suggesting a massive lead in matrix operations, though the database does not quantify tensor TFLOPS directly.

Architecture Differences

The two GPUs come from different architectural families. The RTX 4060 Max-Q uses the AD107 chip built on Ada Lovelace, while the H20 uses the GH100 chip built on Hopper. The process node is identical (5 nm TSMC), but the silicon scale is not. The H20 packs 80,000 million transistors on a 814 mm² die, versus 18,900 million transistors on 159 mm² for the RTX 4060 Max-Q. This yields a transistor density of 118.9M per mm² for the Ada chip and 98.3M per mm² for the Hopper chip, meaning the smaller mobile GPU is actually more densely packed per square millimeter.

Clock speeds differ significantly. The H20 runs at a base of 1830 MHz and boosts to 1980 MHz, while the RTX 4060 Max-Q operates at 1140 MHz base and 1470 MHz boost. The H20’s higher clocks are possible because it is a 500 W SXM module with a suggested PSU of 900 W, whereas the RTX 4060 Max-Q is limited to 35 W with no external power connectors. The memory subsystem is radically different: the H20 uses HBM3 with a 6144-bit bus and 4.03 TB/s bandwidth, while the RTX 4060 Max-Q uses GDDR6 with a 128-bit bus and 256.0 GB/s bandwidth. The H20 has no display outputs, while the RTX 4060 Max-Q’s outputs are listed as portable-device dependent, confirming its laptop orientation.

The H20 has 9984 shading units, 312 TMUs, and 312 tensor cores, but only 24 ROPs. The RTX 4060 Max-Q has 3072 shading units, 96 TMUs, 48 ROPs, 24 RT cores, and 96 tensor cores. The H20 has no RT cores listed, which aligns with its lack of graphics API support. The bus interface also differs: PCIe 5.0 x16 for the H20 versus PCIe 4.0 x8 for the RTX 4060 Max-Q, reflecting the server versus mobile positioning.

Head-to-Head Benchmarks

Direct head-to-head benchmark data is absent from the database, so the comparison relies on the specification-derived rates. The most lopsided metric is memory bandwidth: the H20’s 4.03 TB/s is 15.7 times the RTX 4060 Max-Q’s 256.0 GB/s. This makes the H20 overwhelmingly better suited for workloads that stream large datasets, such as training or inference with large models. In FP16 compute, the H20’s 79.07 TFLOPS is nearly nine times the RTX 4060 Max-Q’s 9.032 TFLOPS, though the RTX 4060 Max-Q runs FP16 at the same rate as FP32 (1:1), while the H20 doubles its FP32 rate in FP16 (2:1). The H20’s FP32 throughput of 39.54 TFLOPS is 4.4 times higher than the RTX 4060 Max-Q’s 9.032 TFLOPS.

The RTX 4060 Max-Q counters in pixel fill rate. Its 70.56 GPixel/s is 48.5% higher than the H20’s 47.52 GPixel/s, despite the H20 having 9984 shading units. This is because the H20 has half the ROPs (24 versus 48) and a lower pixel-rate-per-ROP efficiency. Texture rate also favors the H20: 617.8 GTexel/s versus 141.1 GTexel/s, a 4.4-fold difference. The H20’s texturing advantage comes from 312 TMUs versus 96, and its higher clock speeds. Both GPUs share the same 5 nm process, so the differences are purely architectural and configurational.

FAQ

Q: Which GPU has higher FP32 compute?

A: The NVIDIA H20 delivers 39.54 TFLOPS of FP32, which is 4.4 times the 9.032 TFLOPS of the NVIDIA GeForce RTX 4060 Max-Q.

Q: Which GPU has more memory bandwidth?

A: The NVIDIA H20 has 4.03 TB/s of bandwidth over a 6144-bit HBM3 bus, while the RTX 4060 Max-Q has 256.0 GB/s over a 128-bit GDDR6 bus. The H20’s bandwidth is 15.7 times higher.

Q: Which GPU supports graphics APIs?

A: Only the RTX 4060 Max-Q supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA H20 lists N/A for all graphics APIs.

Q: What is the transistor count difference?

A: The H20 uses 80,000 million transistors, while the RTX 4060 Max-Q uses 18,900 million transistors. The H20’s die is 814 mm² versus 159 mm².

Q: Which GPU has more ROPs?

A: The RTX 4060 Max-Q has 48 ROPs, which is double the 24 ROPs on the H20. This is why the mobile GPU achieves a higher pixel rate.

Q: Do both GPUs use the same process node?

A: Yes, both are fabricated on a 5 nm process by TSMC. However, the H20 has a lower transistor density (98.3M per mm²) than the RTX 4060 Max-Q (118.9M per mm²).

Specification Differences

| Specification | NVIDIA GeForce RTX 4060 Max-Q | NVIDIA H20 |

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

| Chip | AD107 | GH100 |

| Architecture | Ada Lovelace | Hopper |

| Generation | GeForce 40 Mobile | Server Hopper (Hxx) |

| Transistors | 18,900 million | 80,000 million |

| Die Size | 159 mm² | 814 mm² |

| Transistor Density | 118.9M / mm² | 98.3M / mm² |

| Base Clock | 1140 MHz | 1830 MHz |

| Boost Clock | 1470 MHz | 1980 MHz |

| Memory Size | 8 GB | 96 GB |

| Memory Type | GDDR6 | HBM3 |

| Memory Bus | 128 bit | 6144 bit |

| Memory Bandwidth | 256.0 GB/s | 4.03 TB/s |

| Memory Clock | 2000 MHz (16 Gbps effective) | 1313 MHz (5.3 Gbps effective) |

| Shading Units | 3072 | 9984 |

| TMUs | 96 | 312 |

| ROPs | 48 | 24 |

| RT Cores | 24 | None |

| Tensor Cores | 96 | 312 |

| Pixel Rate | 70.56 GPixel/s | 47.52 GPixel/s |

| Texture Rate | 141.1 GTexel/s | 617.8 GTexel/s |

| FP32 | 9.032 TFLOPS | 39.54 TFLOPS |

| FP16 | 9.032 TFLOPS (1:1) | 79.07 TFLOPS (2:1) |

| TDP | 35 W | 500 W |

| Slot Width | IGP | SXM Module |

| Power Connectors | None | Not specified |

| Suggested PSU | Not specified | 900 W |

| Bus Interface | PCIe 4.0 x8 | PCIe 5.0 x16 |

| Display Outputs | Portable Device Dependent | No outputs |

| DirectX | 12 Ultimate (12_2) | N/A |

| OpenGL | 4.6 | N/A |

| Vulkan | 1.4 | N/A |

| Release Date | 2023-01-02 | 2024-01-31 |

| Predecessor | GeForce 30 Mobile | Server Ada |

| Successor | GeForce 50 Mobile | Server Blackwell |

The Verdict

The data indicates two non-overlapping target uses. The NVIDIA GeForce RTX 4060 Max-Q is the only choice for any workload requiring rasterization, pixel shading, or graphics API support. Its 48 ROPs, 24 RT cores, and DirectX 12 Ultimate compliance make it a functional, low-power (35 W) graphics processor for portable devices. The H20 cannot render frames or output video, as its display outputs are absent and its graphics APIs are all N/A.

The NVIDIA H20 is the superior option for compute-bound tasks that fit within its massive 96 GB memory pool and can exploit its 4.03 TB/s bandwidth. Its FP32 throughput is 4.4 times higher and its FP16 throughput is 8.8 times higher than the RTX 4060 Max-Q, and its 312 tensor cores dwarf the mobile GPU’s 96. The H20’s 500 W power envelope and 900 W suggested PSU indicate a rack-mounted data-center role, not a desktop or laptop one. Users who need graphics should take the RTX 4060 Max-Q; users who need dense matrix math or large-memory compute should take the H20. There is no middle ground in this pairing.