Intel Arc 130T Mobile vs NVIDIA H20 Comparison

Architecture Differences

The Intel Arc 130T Mobile and NVIDIA H20 represent two fundamentally different design philosophies from their respective manufacturers, despite both being fabricated on a 5 nm process at TSMC. The Intel part is an integrated graphics processor (IGP) built for portable devices, while the NVIDIA H20 is a dedicated server accelerator packaged as an SXM Module.

The Intel Arc 130T Mobile is based on the Arrow Lake-H chip and uses the Xe-LPG+ architecture, belonging to the Arc Graphics-M (Arrow Lake) generation. It integrates 896 shading units, 56 texture mapping units, and 28 render output units. The chip includes 7 ray tracing cores, though it has no tensor cores listed. The base clock runs at 300 MHz with a boost clock reaching 2200 MHz. Memory is entirely system shared, meaning the GPU draws from the host system's RAM rather than having dedicated VRAM. Consequently, memory bus width and bandwidth are listed as system dependent, with the effective bandwidth also determined by the host platform.

The NVIDIA H20, by contrast, is built on the GH100 chip and uses the Hopper architecture, targeting the Server Hopper (Hxx) generation. This part packs 9,984 shading units, 312 TMUs, and 24 ROPs. It carries 312 tensor cores, which are critical for AI and machine learning workloads, and no dedicated ray tracing cores are listed. The base clock is 1830 MHz with a boost of 1980 MHz. Memory is dedicated HBM3 totaling 96 GB across a 6144-bit bus, delivering 4.03 TB/s of bandwidth. The H20 has a massive transistor count of 80,000 million on an 814 mm² die, giving a transistor density of 98.3M per mm². The Intel chip's transistor count and die size are listed as unknown.

In terms of compute throughput, the numbers diverge sharply. The Intel Arc 130T Mobile delivers 3.942 TFLOPS of FP32 performance and 7.885 TFLOPS of FP16 (2:1). The NVIDIA H20 provides 39.54 TFLOPS FP32 and 79.07 TFLOPS FP16 (2:1), which are roughly ten times higher in each category. Pixel rates are closer: the Intel part achieves 61.60 GPixel/s versus 47.52 GPixel/s for the H20, meaning the integrated GPU actually has a higher pixel throughput. Texture rate favors NVIDIA heavily, with 617.8 GTexel/s versus 123.2 GTexel/s for Intel.

Power consumption shows the scale of the gap. The Intel Arc 130T Mobile is rated at 35 W TDP, appropriate for an integrated solution, while the NVIDIA H20 draws 500 W TDP and requires a suggested PSU of 900 W. The Intel part uses an IGP bus interface and has display outputs that are portable device dependent. The H20 uses PCIe 5.0 x16 and has no display outputs at all, confirming its role as a compute accelerator rather than a graphics card.

API support also differs. The Intel part supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The H20 lists N/A for all three APIs, indicating it is not intended for conventional graphics rendering APIs. The Intel part was released on 2025-01-12, while the H20 came earlier on 2024-01-31. The H20's predecessor is Server Ada and its successor is Server Blackwell; the Intel part's predecessor is HD Graphics-M with no successor listed. Both are currently marked as Active in production status.

The Verdict

The data points to two entirely different products that serve different segments of the hardware market, and the benchmark results confirm this split. The Intel Arc 130T Mobile is an integrated GPU designed for portable devices, with a 35 W TDP and system-shared memory. The NVIDIA H20 is a server-grade accelerator with 96 GB of dedicated HBM3 memory, a 500 W TDP, and no display outputs. These are not competitors in any practical sense; the recorded specifications show the H20 outperforms the Intel part in raw compute metrics by an order of magnitude.

For users operating in server environments where AI inference, high-performance computing, or large-scale data processing is the primary workload, the NVIDIA H20 is the clear choice based on its FP32 and FP16 throughput, tensor core count, and massive memory bandwidth. The 4.03 TB/s memory bandwidth and 96 GB capacity allow the H20 to handle data sets that would be impossible for an IGP with system-shared memory.

For portable devices where power efficiency and integrated graphics are the priority, the Intel Arc 130T Mobile holds the advantage. Its 35 W TDP fits within the thermal budget of a laptop or handheld device, and its pixel rate of 61.60 GPixel/s actually surpasses the H20's 47.52 GPixel/s, suggesting it can drive display outputs effectively for its intended form factor. The DirectX 12 Ultimate and Vulkan 1.4 support indicate the Intel part is meant for actual graphics rendering, while the H20's N/A API entries show it skips that role entirely.

The percentile ranking for both parts is identical at 50, placing each exactly at the median of all GPUs in the database. This reflects the fact that they excel in different domains rather than competing head-to-head. Neither part is a general-purpose graphics card; the Intel Arc 130T Mobile is an IGP, and the NVIDIA H20 is an SXM module. A user building a gaming desktop would not choose either, and a data center operator would not select the Intel part for compute tasks.

Where Each One Wins

The NVIDIA H20 wins decisively in every compute-heavy category. FP32 performance is 39.54 TFLOPS versus 3.942 TFLOPS for Intel, a roughly tenfold advantage. FP16 performance follows the same pattern with 79.07 TFLOPS versus 7.885 TFLOPS. The H20 also dominates texture rate at 617.8 GTexel/s compared to 123.2 GTexel/s for Intel. The tensor core count of 312 versus zero for Intel gives the H20 a unique capability for AI workloads that the Intel part simply cannot match. Memory capacity and bandwidth are also entirely on the H20's side: 96 GB of HBM3 with 4.03 TB/s versus the Intel part's system-shared memory with system-dependent bandwidth.

The Intel Arc 130T Mobile wins in a few specific areas. Its pixel rate of 61.60 GPixel/s exceeds the H20's 47.52 GPixel/s, which is notable given the H20's far larger die and power envelope. The Intel part also has a much lower TDP at 35 W versus 500 W, making it suitable for portable deployments. The Intel part supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, whereas the H20 has no graphics API support. The bus interface favors Intel for integration, with an IGP connection that requires no dedicated PCIe slot, while the H20 uses a PCIe 5.0 x16 connection and occupies an SXM module slot.

The release timeline also differs: the H20 arrived on 2024-01-31, while the Intel Arc 130T Mobile launched on 2025-01-12. Both are active products, but they serve different lifecycles. The H20 is part of the Server Hopper generation with a successor already identified in Server Blackwell, while the Intel part is in the Arc Graphics-M generation with no successor listed.

FAQ

Q: Which GPU has higher raw compute performance?

A: The NVIDIA H20 delivers 39.54 TFLOPS FP32 and 79.07 TFLOPS FP16, compared to 3.942 TFLOPS FP32 and 7.885 TFLOPS FP16 for the Intel Arc 130T Mobile.

Q: Does the Intel Arc 130T Mobile support modern graphics APIs?

A: Yes, it supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA H20 lists N/A for all three APIs.

Q: How much memory does each GPU have?

A: The NVIDIA H20 has 96 GB of HBM3 memory with a 6144-bit bus and 4.03 TB/s bandwidth. The Intel Arc 130T Mobile uses system-shared memory, so capacity, type, bus width, and bandwidth are all system dependent.

Q: What is the power consumption difference?

A: The Intel Arc 130T Mobile is rated at 35 W TDP, while the NVIDIA H20 is rated at 500 W TDP with a suggested PSU of 900 W.

Q: Which GPU is better for pixel rendering?

A: The Intel Arc 130T Mobile has a higher pixel rate at 61.60 GPixel/s versus 47.52 GPixel/s for the NVIDIA H20.

Q: Are these GPUs comparable for gaming?

A: No. The Intel Arc 130T Mobile is an IGP with DirectX 12 Ultimate support, suitable for portable devices. The NVIDIA H20 has no display outputs and no graphics API support, making it a server compute accelerator rather than a gaming GPU.

Head-to-Head Benchmarks

The recorded measurements show a clear pattern: the NVIDIA H20 dominates in computational throughput, while the Intel Arc 130T Mobile holds a narrow edge in pixel fill rate. The largest advantage for NVIDIA appears in FP32 compute, where the H20's 39.54 TFLOPS is approximately ten times the Intel part's 3.942 TFLOPS. This gap is consistent with the shading unit count, as the H20 packs 9,984 shading units versus 896 for Intel. The FP16 comparison follows the same ratio, with 79.07 TFLOPS versus 7.885 TFLOPS.

Texture rate is another area of massive NVIDIA superiority. The H20 achieves 617.8 GTexel/s, which is over five times the Intel Arc 130T Mobile's 123.2 GTexel/s. The H20's 312 TMUs compared to 56 for Intel explain this result, and the higher boost clock of 1980 MHz versus 2200 MHz for Intel does not compensate for the TMU deficit. The tensor core situation is binary: the H20 carries 312 tensor cores, while the Intel part has none listed, giving NVIDIA an exclusive capability for AI and deep learning tasks.

Memory bandwidth is perhaps the most lopsided metric. The H20's HBM3 memory delivers 4.03 TB/s across a 6144-bit bus, while the Intel part's bandwidth is listed as system dependent and its memory type is system shared. The 96 GB capacity of the H20 stands against no fixed capacity for Intel, since the shared memory size depends entirely on the host system. This means the H20 can process large data sets in memory without host transfers, while the Intel IGP must continually access system RAM over the IGP bus interface.

The one benchmark where Intel leads is pixel rate. The Arc 130T Mobile achieves 61.60 GPixel/s, exceeding the H20's 47.52 GPixel/s. This is surprising given the H20's larger die and higher clock speeds, but the H20's ROP count of 24 is actually lower than the Intel part's 28 ROPs. The Intel part's higher ROP count and faster boost clock of 2200 MHz contribute to this win. For display output and framebuffer operations, the Intel part is the better performer, which aligns with its role as an IGP for portable devices.

Clock speeds show an interesting split. The Intel part has a lower base clock at 300 MHz but a higher boost clock at 2200 MHz, while the H20 runs at 1830 MHz base and 1980 MHz boost. The H20's memory clock is listed at 1313 MHz with 5.3 Gbps effective, while the Intel part's memory clock is system dependent. The H20's massive transistor budget of 80,000 million on an 814 mm² die gives it the resources for its compute dominance, while the Intel part's transistor count remains unknown.

Both GPUs sit at the 50th percentile in the database, indicating they are median performers among all GPUs. This is a statistical artifact of their divergent specializations. The wins are split: NVIDIA takes compute, memory, and tensor workloads, while Intel takes pixel rate, API compatibility, and power efficiency. Each part is optimized for its target environment, and the data confirms that neither can substitute for the other in their respective domains.