Intel Arc Graphics 128EU Mobile vs NVIDIA H20 Comparison

Where Each One Wins

The Intel Arc Graphics 128EU Mobile and the NVIDIA H20 occupy entirely different segments of the GPU landscape, and their benchmark profiles reflect that divergence. The Intel part is an integrated graphics solution built for portable devices, while the NVIDIA H20 is a server-class accelerator designed for datacenter workloads. The recorded data shows no direct head-to-head benchmark results, so the comparison rests on architectural characteristics and performance ceilings.

The Intel Arc Graphics 128EU Mobile wins in scenarios where power efficiency and portability dominate. Its 28 W TDP against the H20's 500 W TDP indicates a 472 W gap in thermal design power, meaning the Intel solution can operate in thin laptops and compact systems where the H20 cannot physically fit. The Intel part uses a Ring Bus interface and features system-shared memory, which allows it to function as an IGP with no dedicated VRAM requirement. This makes it suitable for everyday computing, light content creation, and casual gaming on portable devices.

The NVIDIA H20 wins decisively in raw compute throughput. Its FP32 performance of 39.54 TFLOPS is roughly 8.6 times higher than the Intel Arc's 4.608 TFLOPS. In FP16 workloads, the H20 delivers 79.07 TFLOPS compared to the Intel part's 9.216 TFLOPS, a gap of approximately 8.6 times as well. The H20 also has 312 tensor cores specifically designed for AI acceleration, while the Intel Arc has no dedicated tensor core count listed in the database. For machine learning training, inference, and scientific computing, the H20's architecture provides capabilities that the Intel integrated GPU simply cannot approach.

The pixel rate comparison shows an interesting inversion. The Intel Arc achieves 72.00 GPixel/s while the H20 manages 47.52 GPixel/s, meaning the Intel part is roughly 1.5 times faster in pixel fill rate. This suggests the Intel GPU has a more balanced rasterization pipeline for traditional graphics rendering, despite its lower overall compute capacity. The texture rate tells a different story: the H20's 617.8 GTexel/s exceeds the Intel Arc's 144.0 GTexel/s by a factor of about 4.3.

Architecture Differences

The two GPUs come from fundamentally different architectural lineages. Intel uses the Xe-LPG architecture built on a 10 nm process at Intel's own foundry, while NVIDIA employs the Hopper architecture on a 5 nm process manufactured by TSMC. This process node difference of 5 nm versus 10 nm contributes significantly to the H20's ability to pack more compute resources into a server module.

The H20's chip, designated GH100, contains 80,000 million transistors on a 814 mm² die, achieving a transistor density of 98.3M per mm². The Intel Arc's Meteor Lake chip has no transistor count or die size recorded in the database, but the process node comparison alone indicates the H20 uses a more advanced manufacturing technology.

Shading unit counts reveal the scale difference. The Intel Arc has 1,024 shading units, while the H20 has 9,984, a ratio of nearly 10 to one. Texture mapping units stand at 64 for Intel and 312 for NVIDIA. The render output units present a notable divergence: Intel has 32 ROPs while the H20 has only 24, which explains the Intel part's higher pixel rate despite its smaller overall footprint.

Memory architecture separates these devices completely. The Intel Arc uses system-shared memory with system-dependent bandwidth, meaning it borrows from the host system's RAM and has no dedicated VRAM. The H20 carries 96 GB of HBM3 memory on a 6144-bit bus, delivering 4.03 TB/s of bandwidth. Clock speeds also differ substantially: the Intel part runs at a 300 MHz base clock boosting to 2250 MHz, while the H20 operates at a 1830 MHz base and 1980 MHz boost. The H20's memory clock is listed at 1313 MHz with 5.3 Gbps effective data rate.

API support marks another clear division. The Intel Arc supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The NVIDIA H20 lists N/A for DirectX, OpenGL, and Vulkan, indicating it is not designed for consumer graphics APIs at all. Its purpose is compute-centric, with tensor cores and massive memory bandwidth serving AI and high-performance computing workloads.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between these two GPUs, so the comparison relies on recorded specification-derived metrics. The FP32 compute figures provide the clearest performance indicator: the H20's 39.54 TFLOPS versus the Intel Arc's 4.608 TFLOPS means the NVIDIA part delivers approximately 8.6 times the single-precision floating-point throughput. In FP16, the H20's 79.07 TFLOPS against 9.216 TFLOPS confirms the same magnitude of advantage.

Texture processing favors the H20 heavily. Its 617.8 GTexel/s rating exceeds the Intel Arc's 144.0 GTexel/s by roughly 4.3 times. This matters for workloads that sample textures heavily, such as scientific visualization or complex shader operations. The H20's 312 tensor cores add a compute dimension the Intel Arc lacks entirely, making the NVIDIA part substantially more capable for neural network operations.

The Intel Arc wins the pixel throughput comparison. At 72.00 GPixel/s, it outperforms the H20's 47.52 GPixel/s by about 1.5 times. This suggests the Intel architecture allocates more resources to final pixel output, which benefits traditional rasterized graphics rendering. For a mobile integrated GPU, this characteristic supports its role in driving displays and rendering graphical user interfaces efficiently.

Memory bandwidth presents the largest absolute gap. The H20's 4.03 TB/s dwarfs the Intel Arc's system-dependent bandwidth, which cannot be quantified from the database. The 96 GB HBM3 capacity versus system-shared memory means the H20 can hold entire large models or datasets on-chip, while the Intel part must rely on whatever system RAM is available.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA H20 delivers 39.54 TFLOPS of FP32 performance, which is approximately 8.6 times higher than the Intel Arc Graphics 128EU Mobile's 4.608 TFLOPS.

Q: Does the Intel Arc support modern graphics APIs?

A: Yes, the Intel Arc Graphics 128EU Mobile supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The NVIDIA H20 lists N/A for all three APIs.

Q: What is the memory configuration of each GPU?

A: The Intel Arc uses system-shared memory with system-dependent bandwidth. The NVIDIA H20 has 96 GB of HBM3 memory on a 6144-bit bus with 4.03 TB/s bandwidth.

Q: Which GPU has more shading units?

A: The NVIDIA H20 has 9,984 shading units, while the Intel Arc Graphics 128EU Mobile has 1,024 shading units, giving the H20 nearly ten times as many.

Q: How do the power requirements compare?

A: The Intel Arc has a 28 W TDP and operates as an IGP. The NVIDIA H20 has a 500 W TDP and comes as an SXM Module with a suggested PSU of 900 W.

Q: Which GPU has faster pixel fill rate?

A: The Intel Arc achieves 72.00 GPixel/s, which is about 1.5 times higher than the NVIDIA H20's 47.52 GPixel/s, despite the H20's much larger compute resources.

Specification Differences

| Specification | Intel Arc Graphics 128EU Mobile | NVIDIA H20 |

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

| Architecture | Xe-LPG | Hopper |

| Process Node | 10 nm | 5 nm |

| Foundry | Intel | TSMC |

| Transistors | Not recorded | 80,000 million |

| Die Size | Not recorded | 814 mm² |

| Transistor Density | Not recorded | 98.3M / mm² |

| Base Clock | 300 MHz | 1830 MHz |

| Boost Clock | 2250 MHz | 1980 MHz |

| Memory Size | System Shared | 96 GB |

| Memory Type | System Shared | HBM3 |

| Memory Bus Width | System Shared | 6144 bit |

| Memory Bandwidth | System Dependent | 4.03 TB/s |

| Memory Clock | System Shared | 1313 MHz 5.3 Gbps effective |

| Shading Units | 1024 | 9984 |

| TMUs | 64 | 312 |

| ROPs | 32 | 24 |

| Tensor Cores | Not recorded | 312 |

| Pixel Rate | 72.00 GPixel/s | 47.52 GPixel/s |

| Texture Rate | 144.0 GTexel/s | 617.8 GTexel/s |

| FP32 | 4.608 TFLOPS | 39.54 TFLOPS |

| FP16 | 9.216 TFLOPS (2:1) | 79.07 TFLOPS (2:1) |

| TDP | 28 W | 500 W |

| Slot Width | IGP | SXM Module |

| Suggested PSU | Not recorded | 900 W |

| Bus Interface | Ring Bus | PCIe 5.0 x16 |

| Display Outputs | Portable Device Dependent | No outputs |

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

| OpenGL | 4.6 | N/A |

| Vulkan | 1.4 | N/A |

| Release Date | 2023-12-13 | 2024-01-31 |

| Predecessor | HD Graphics-M | Server Ada |

| Successor | Not recorded | Server Blackwell |

The Verdict

The data presents two GPUs with almost no functional overlap. The Intel Arc Graphics 128EU Mobile is an integrated graphics processor for portable devices, evidenced by its 28 W TDP, Ring Bus interface, system-shared memory, and portable-device-dependent display outputs. Its release date of December 2023 places it in the Meteor Lake generation, succeeding HD Graphics-M.

The NVIDIA H20 is a server accelerator from the Hopper generation, released in January 2024 and succeeding Server Ada. Its SXM Module form factor, 500 W TDP, 900 W suggested PSU, and absence of display outputs confirm its datacenter orientation. The PCIe 5.0 x16 interface and 96 GB HBM3 memory with 4.03 TB/s bandwidth serve large-scale compute workloads.

Users requiring graphics output for a laptop or compact system should consider the Intel Arc, as it provides DirectX 12, OpenGL 4.6, and Vulkan 1.4 support with a 72.00 GPixel/s pixel rate. Its 28 W power envelope allows integration into power-constrained portable devices.

Organizations running AI inference, model training, or high-performance computing tasks should consider the NVIDIA H20. Its 39.54 TFLOPS FP32 and 79.07 TFLOPS FP16 performance, along with 312 tensor cores and 4.03 TB/s memory bandwidth, position it for compute-heavy workloads. The lack of consumer graphics APIs does not matter for server deployments where no display output is required.

The benchmark database records equal percentile rankings of 50 for both GPUs, but this reflects their positioning within their respective markets rather than direct equivalence. The Intel Arc targets the integrated graphics segment where it competes with other IGP solutions, while the H20 targets the accelerated computing segment where it competes with other server accelerators. Neither GPU serves the other's intended use case, and the specification data confirms that any performance comparison between them must account for their fundamentally different roles.