Intel Arc Graphics 1 Xe Mobile vs NVIDIA H20 Comparison

Where Each One Wins

The recorded data shows two graphics processors engineered for entirely different operating environments. The Intel Arc Graphics 1 Xe Mobile is an integrated graphics solution built into a processor package, designed for portable devices where power efficiency and compactness take priority. The NVIDIA H20 is a server-class accelerator module built for data center compute workloads, with massive memory capacity and high-throughput tensor processing.

Benchmark wins cannot be derived from direct head-to-head measurements, as the database contains no comparative benchmark results for these two parts. Instead, the performance profile must be inferred from the architectural specifications and compute capabilities recorded for each device.

The Intel part wins in the domain of integrated graphics deployment. It uses a 25 W power envelope, fits into an IGP slot width, requires no power connectors, and derives its memory from the system shared pool. This makes it suitable for thin-and-light portable devices where discrete graphics cannot be physically accommodated. The NVIDIA H20, by contrast, requires a 900 W suggested PSU, occupies an SXM Module slot, and has no display outputs whatsoever. It is not a graphics card in the traditional sense; it is a compute accelerator.

The NVIDIA H20 wins decisively in raw compute throughput. Its FP32 performance of 39.54 TFLOPS dwarfs the Intel part's 588.8 GFLOPS. The FP16 figures tell a similar story: 79.07 TFLOPS versus 1,177.6 GFLOPS. The H20 also carries 96 GB of HBM3 memory with 4.03 TB/s bandwidth, while the Intel part relies on system shared memory with bandwidth described as system dependent.

In terms of production status, both are listed as Active. The Intel part has a release date of 2026-04-15, while the NVIDIA H20 was released on 2024-01-31. The Intel part lists its predecessor as HD Graphics-M, and the NVIDIA H20 lists its predecessor as Server Ada and successor as Server Blackwell.

Architecture Differences

The architectural divide between these two processors is substantial. The Intel Arc Graphics 1 Xe Mobile uses the Xe3-LPG architecture, built on Intel's Wildcat Lake chip. The process node is 3 nm, and the foundry is Intel itself. The NVIDIA H20 uses the Hopper architecture on the GH100 chip, fabricated by TSMC on a 5 nm process.

Transistor counts reveal the scale difference. The NVIDIA H20 contains 80,000 million transistors on an 814 mm² die, with a transistor density of 98.3M per mm². The Intel part's transistor count and die size are listed as unknown. The NVIDIA H20's die area and transistor budget reflect a data center accelerator built for maximum compute density.

The Intel part contains 128 shading units, 8 texture mapping units, and 4 raster operation units. It has 1 ray tracing core. The NVIDIA H20 contains 9,984 shading units, 312 TMUs, and 24 ROPs. It has 312 tensor cores, which are essential for AI and deep learning workloads. The Intel part lists no tensor cores.

Memory architecture differs fundamentally. The Intel part uses system shared memory, with system shared type and bus width. Its memory bandwidth is system dependent. The NVIDIA H20 uses 96 GB of HBM3 memory on a 6,144-bit bus, delivering 4.03 TB/s of bandwidth. The memory clock is recorded as 1,313 MHz with 5.3 Gbps effective data rate.

Clock speeds also diverge. The Intel part has a base clock of 300 MHz and a boost clock of 2,300 MHz. The NVIDIA H20 has a base clock of 1,830 MHz and a boost clock of 1,980 MHz. The lower clock speeds on the Intel part are typical for integrated graphics that must stay within a tight power budget.

API support differs completely. The Intel part supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA H20 lists N/A for DirectX, OpenGL, and Vulkan, confirming its role as a compute-focused accelerator without graphics API support.

Head-to-Head Benchmarks

Direct benchmark comparisons are absent from the database for these two parts. However, the recorded compute specifications allow for a quantitative comparison of theoretical peak performance.

The FP32 throughput difference is striking. The NVIDIA H20 delivers 39.54 TFLOPS, which is approximately 67 times the Intel part's 588.8 GFLOPS. This means the H20 can process roughly 67 times more single-precision floating-point operations per second. For scientific computing, simulations, or any workload relying on FP32 math, the H20 holds an overwhelming advantage.

FP16 performance shows a similar ratio. The NVIDIA H20 delivers 79.07 TFLOPS in FP16, compared to the Intel part's 1,177.6 GFLOPS. The H20's FP16 output is approximately 67 times higher. The 2:1 ratio between FP16 and FP32 is consistent on both parts, indicating that neither uses specialized FP16 hardware with a different ratio.

Pixel and texture rates reinforce the gap. The NVIDIA H20 achieves 47.52 GPixel/s, compared to 9.200 GPixel/s for the Intel part. The texture rate is 617.8 GTexel/s versus 18.40 GTexel/s. These differences reflect the much larger number of ROPs and TMUs on the H20.

Memory bandwidth is perhaps the most consequential difference. The H20's 4.03 TB/s of HBM3 bandwidth is several orders of magnitude higher than what the Intel part can achieve with system shared memory, whose bandwidth is explicitly described as system dependent. For memory-bound workloads, such as large language model inference or training, the H20's bandwidth advantage is critical.

The Intel part's boost clock of 2,300 MHz is higher than the H20's boost clock of 1,980 MHz. This reflects the different design priorities: the Intel part maximizes clock speed within a 25 W envelope, while the H20 prioritizes core count and memory throughput over clock frequency.

Specification Differences

The two parts differ across nearly every recorded specification field. The following fields show direct contrasts:

• Process node: Intel uses 3 nm; NVIDIA uses 5 nm.
• Foundry: Intel fabricates its own chip; NVIDIA uses TSMC.
• Transistors: Intel lists unknown; NVIDIA lists 80,000 million.
• Die size: Intel lists unknown; NVIDIA lists 814 mm².
• Transistor density: Intel lists null; NVIDIA lists 98.3M per mm².
• Base clock: Intel at 300 MHz; NVIDIA at 1,830 MHz.
• Boost clock: Intel at 2,300 MHz; NVIDIA at 1,980 MHz.
• Memory size: Intel system shared; NVIDIA 96 GB.
• Memory type: Intel system shared; NVIDIA HBM3.
• Memory bus width: Intel system shared; NVIDIA 6,144 bit.
• Memory bandwidth: Intel system dependent; NVIDIA 4.03 TB/s.
• Shading units: Intel 128; NVIDIA 9,984.
• TMUs: Intel 8; NVIDIA 312.
• ROPs: Intel 4; NVIDIA 24.
• RT cores: Intel 1; NVIDIA null.
• Tensor cores: Intel null; NVIDIA 312.
• Pixel rate: Intel 9.200 GPixel/s; NVIDIA 47.52 GPixel/s.
• Texture rate: Intel 18.40 GTexel/s; NVIDIA 617.8 GTexel/s.
• FP32: Intel 588.8 GFLOPS; NVIDIA 39.54 TFLOPS.
• FP16: Intel 1,177.6 GFLOPS; NVIDIA 79.07 TFLOPS.
• TDP: Intel 25 W; NVIDIA 500 W.
• Slot width: Intel IGP; NVIDIA SXM Module.
• Power connectors: Intel None; NVIDIA null.
• Suggested PSU: Intel null; NVIDIA 900 W.
• Bus interface: Intel IGP; NVIDIA PCIe 5.0 x16.
• Display outputs: Intel Portable Device Dependent; NVIDIA No outputs.
• DirectX: Intel 12 Ultimate (12_2); NVIDIA N/A.
• OpenGL: Intel 4.6; NVIDIA N/A.
• Vulkan: Intel 1.4; NVIDIA N/A.
• Release date: Intel 2026-04-15; NVIDIA 2024-01-31.
• Predecessor: Intel HD Graphics-M; NVIDIA Server Ada.
• Successor: Intel null; NVIDIA Server Blackwell.

FAQ

Q: Which processor has higher FP32 compute performance?

A: The NVIDIA H20 delivers 39.54 TFLOPS of FP32 performance, compared to the Intel Arc Graphics 1 Xe Mobile's 588.8 GFLOPS.

Q: Can the NVIDIA H20 be used for graphics rendering in a desktop PC?

A: No. The H20 has no display outputs, lists N/A for DirectX, OpenGL, and Vulkan, and comes as an SXM Module, not a standard graphics card.

Q: What memory configuration does the Intel Arc Graphics 1 Xe Mobile use?

A: It uses system shared memory with a system shared bus width. Its memory bandwidth is described as system dependent.

Q: How much memory does the NVIDIA H20 have?

A: The H20 has 96 GB of HBM3 memory on a 6,144-bit bus with 4.03 TB/s bandwidth.

Q: What is the power consumption difference?

A: The Intel part has a TDP of 25 W and requires no power connectors. The NVIDIA H20 has a TDP of 500 W and needs a 900 W suggested PSU.

Q: Does the Intel part support ray tracing?

A: Yes, it has 1 ray tracing core. The NVIDIA H20 lists null for ray tracing cores, though it has 312 tensor cores for AI workloads.

The Verdict

The data presents two products with no functional overlap. The Intel Arc Graphics 1 Xe Mobile is an integrated GPU designed for portable devices. Its 25 W TDP, IGP slot width, and portable device dependent display outputs place it firmly in the mobile integrated graphics category. Its 128 shading units and 588.8 GFLOPS of FP32 performance are sufficient for basic graphics output and light compute tasks on a laptop or handheld device. The 3 nm process node and 2,300 MHz boost clock indicate an efficiency-focused design that maximizes frequency within a minimal power envelope.

The NVIDIA H20 is a server accelerator with no graphics output capability. Its 9,984 shading units, 312 tensor cores, and 96 GB of HBM3 memory position it for data center workloads, particularly AI inference and training. The 4.03 TB/s memory bandwidth and 39.54 TFLOPS of FP32 compute make it suitable for large-scale parallel processing. The 500 W TDP and SXM Module form factor confirm it is not intended for consumer use.

Both parts share a production status of Active and a percentile rank of 50 against all GPUs in the database, though this percentile is based on an average benchmark score of 0 for both, meaning no benchmark data was recorded.

The choice between these two parts depends entirely on the deployment environment. For a portable device requiring integrated graphics with DirectX 12 Ultimate support, the Intel Arc Graphics 1 Xe Mobile is the only viable option in this comparison. For a server needing high-throughput tensor processing and massive memory bandwidth, the NVIDIA H20 is the clear selection. Neither part can substitute for the other in their respective roles. The Intel part cannot handle server-scale compute workloads, and the H20 cannot output video to a display. The recorded specifications show no scenario where these two products would compete for the same socket or workload.