Intel UHD Graphics 710 Mobile vs NVIDIA H20 Comparison

Where Each One Wins

The Intel UHD Graphics 710 Mobile and the NVIDIA H20 occupy completely different segments of the GPU landscape. The data recorded in the database shows no overlapping benchmark results between the two parts, which is expected given their divergent design goals. The Intel UHD Graphics 710 Mobile is an integrated graphics processor built into Raptor Lake mobile chips, designed for portable devices where power efficiency and basic display output are the priorities. The NVIDIA H20 is a server-class accelerator built on the Hopper architecture, designed for high-throughput compute workloads in data center environments.

The Intel part wins in the categories of portability and simplicity. Its 15 W TDP makes it suitable for thin-and-light laptops, and its "System Shared" memory configuration means it does not require dedicated VRAM. The H20, by contrast, demands a 500 W TDP and a suggested PSU of 900 W, which places it firmly in rack-mounted server territory. The Intel GPU also has display outputs, listed as "Portable Device Dependent," while the NVIDIA H20 explicitly has "No outputs." For any workload requiring visual output to a screen, the Intel part is the only viable option between the two.

The NVIDIA H20 wins decisively in raw compute capability. Its FP32 throughput of 39.54 TFLOPS dwarfs the Intel part's 307.2 GFLOPS. The H20 also carries 96 GB of HBM3 memory with 4.03 TB/s of bandwidth, while the Intel part shares system memory with bandwidth described as "System Dependent." The H20 includes 312 tensor cores, a feature entirely absent from the Intel UHD Graphics 710 Mobile. For machine learning inference, training, or any tensor-heavy workload, the H20 is the clear choice. The Intel part has no such acceleration hardware.

The H20 also wins on memory capacity and bandwidth by every measurable margin. Its 6144-bit memory bus and 4.03 TB/s bandwidth are orders of magnitude beyond what an integrated GPU can access. The Intel part's memory bus is listed as "System Shared," meaning it depends entirely on the host system's DRAM configuration. The H20's dedicated HBM3 stack provides predictable, extremely high bandwidth that does not compete with CPU memory traffic.

In terms of production status, both are listed as "Active," meaning neither is discontinued. The Intel part was released on 2023-01-03, while the NVIDIA H20 followed on 2024-01-31. Both have percentile rankings of 50 in the database, though this is a placeholder value given the absence of benchmark scores in the records.

FAQ

Q: Which GPU has a higher FP32 compute throughput?

A: The NVIDIA H20 delivers 39.54 TFLOPS of FP32 performance, compared to 307.2 GFLOPS for the Intel UHD Graphics 710 Mobile. This represents a difference of more than two orders of magnitude in favor of the H20.

Q: Do either of these GPUs support tensor operations?

A: The NVIDIA H20 includes 312 tensor cores, which are dedicated hardware units for tensor math. The Intel UHD Graphics 710 Mobile has no tensor cores listed in its specifications, meaning it cannot accelerate tensor workloads in hardware.

Q: What are the memory configurations for each GPU?

A: The NVIDIA H20 uses 96 GB of HBM3 memory on a 6144-bit bus, providing 4.03 TB/s of bandwidth. The Intel UHD Graphics 710 Mobile uses "System Shared" memory with a "System Shared" bus width and bandwidth listed as "System Dependent."

Q: Which GPU has display outputs?

A: The Intel UHD Graphics 710 Mobile has display outputs listed as "Portable Device Dependent," meaning it can drive displays depending on the host device. The NVIDIA H20 has "No outputs" and cannot connect to any display.

Q: What is the power requirement difference?

A: The Intel UHD Graphics 710 Mobile has a TDP of 15 W, while the NVIDIA H20 has a TDP of 500 W. The H20 also has a suggested PSU of 900 W, whereas the Intel part is an IGP with no suggested PSU listed.

Q: Which GPU supports DirectX, OpenGL, and Vulkan?

A: Only the Intel UHD Graphics 710 Mobile supports these APIs, with DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The NVIDIA H20 lists all three APIs as "N/A," reflecting its compute-focused design without graphics output.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between the Intel UHD Graphics 710 Mobile and the NVIDIA H20. The `headToHeadBenchmarks` field is empty, and both parts have zero recorded average benchmark scores. This absence of data is itself informative: these two GPUs are not competitors in any measurable sense, and no standard benchmark suite would place them in the same comparison.

The largest wins for the NVIDIA H20 come from its specification sheet rather than benchmark scores. Its FP32 throughput of 39.54 TFLOPS is 128.7 times the Intel part's 307.2 GFLOPS. Its texture rate of 617.8 GTexel/s compares to 9.600 GTexel/s on the Intel part, a factor of roughly 64. The pixel rate difference is smaller but still substantial: 47.52 GPixel/s versus 4.800 GPixel/s, a factor of about 10. These ratios are derived directly from the recorded specifications.

The Intel UHD Graphics 710 Mobile has no wins in any measured performance category against the H20. Its only advantages are qualitative: it consumes vastly less power (15 W versus 500 W), it fits in an IGP form factor rather than an SXM Module, and it can output to displays. The H20's FP16 performance of 79.07 TFLOPS (2:1) is also notable, exceeding even its own FP32 rate due to the 2:1 ratio, while the Intel part's FP16 of 614.4 GFLOPS (2:1) is similarly double its FP32.

The memory bandwidth comparison is similarly one-sided. The H20's 4.03 TB/s is a fixed, dedicated resource, while the Intel part's bandwidth is "System Dependent," meaning it cannot be stated as a fixed number. The H20's 6144-bit bus width is a hardware constant that enables its bandwidth figure.

Specification Differences

The two GPUs differ in nearly every recorded specification field. The Intel UHD Graphics 710 Mobile uses a 10 nm process node from Intel's own foundry, while the NVIDIA H20 uses a 5 nm node from TSMC. The H20 has 80,000 million transistors on an 814 mm² die, yielding a transistor density of 98.3M per mm². The Intel part has no transistor count, die size, or density figures recorded.

Clock speeds differ substantially. The Intel part runs at a 300 MHz base clock and 1200 MHz boost. The NVIDIA H20 runs at 1830 MHz base and 1980 MHz boost. The H20's memory clock is listed as 1313 MHz with 5.3 Gbps effective, while the Intel part's memory clock is "System Shared."

The compute unit counts are dramatically different. The Intel part has 128 shading units, 8 TMUs, and 4 ROPs. The NVIDIA H20 has 9984 shading units, 312 TMUs, and 24 ROPs. The H20 also has 312 tensor cores, while the Intel part has none. Neither part lists RT cores.

The bus interface differs: the Intel part uses a "Ring Bus," while the H20 uses "PCIe 5.0 x16." The Intel part is an IGP with no power connectors and no suggested PSU, while the H20 is an SXM Module with a suggested PSU of 900 W. The H20 has no display outputs; the Intel part's outputs are "Portable Device Dependent."

API support is exclusive to the Intel part. The H20 lists DirectX, OpenGL, and Vulkan all as "N/A." The Intel part supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The H20's predecessor is listed as "Server Ada" and its successor as "Server Blackwell," while the Intel part's predecessor is null and its successor is "Arc Graphics-M."

Architecture Differences

The Intel UHD Graphics 710 Mobile is built on Intel's Generation 12.2 architecture, which the database identifies as "HD Graphics-M (Raptor Lake)" from the Raptor Lake chip family. The NVIDIA H20 uses the Hopper architecture on the GH100 chip, belonging to the "Server Hopper (Hxx)" generation. These are fundamentally different architectures designed for different purposes.

The Intel architecture is a graphics-oriented design with a focus on display output and basic 3D rendering. Its 128 shading units and 8 TMUs are typical for an integrated solution meant to handle everyday graphics tasks. The architecture supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, indicating a full graphics feature set for consumer applications. Its FP16 rate of 614.4 GFLOPS at a 2:1 ratio suggests some compute capability, but it is primarily a graphics processor.

The NVIDIA Hopper architecture is compute-first, with no graphics API support whatsoever. Its 9984 shading units, 312 tensor cores, and 96 GB of HBM3 memory are configured for data center workloads. The FP16 rate of 79.07 TFLOPS at a 2:1 ratio is designed for mixed-precision compute, and the 312 tensor cores provide dedicated hardware for matrix operations common in AI workloads. The lack of display outputs confirms that this architecture is not intended for any visual output.

The process technology differs by foundry and node. Intel uses its own 10 nm process, while TSMC fabricates the H20 at 5 nm. The H20's 80,000 million transistors on an 814 mm² die represent a massive chip, while the Intel part's transistor budget is not recorded but is implied to be far smaller given its IGP form factor and 15 W TDP.

The memory architecture is another fundamental difference. The Intel part uses system-shared memory, meaning it has no dedicated VRAM and relies on the host system's DRAM. The H20 uses HBM3 with a dedicated 6144-bit bus and 4.03 TB/s bandwidth, which is optimized for high-throughput compute workloads that cannot tolerate memory bottlenecks.

The Verdict

The data supports a straightforward selection based on workload requirements. For any application requiring display output, graphics rendering, or standard API support, the Intel UHD Graphics 710 Mobile is the only choice between these two. It is the sole part with DirectX, OpenGL, and Vulkan support, and the only one with any display outputs. Its 15 W TDP and IGP form factor make it suitable for portable devices where power consumption is a primary constraint. Its 128 shading units and 4 ROPs are sufficient for basic graphics tasks, and its "System Shared" memory eliminates the need for dedicated VRAM.

For any compute-intensive workload, particularly those involving tensor operations, the NVIDIA H20 is the only viable option. Its 39.54 TFLOPS FP32 and 79.07 TFLOPS FP16 performance, combined with 312 tensor cores and 96 GB of HBM3 memory at 4.03 TB/s, make it a server-class compute accelerator. The absence of display outputs and graphics API support is irrelevant for its intended use case in data center environments. Its 500 W TDP and SXM Module form factor require appropriate server infrastructure, including a 900 W suggested PSU.

The benchmark data is empty for both parts, so the database cannot provide measured performance comparisons. The specification data, however, is unambiguous. The H20 outperforms the Intel part in every recorded compute metric by factors ranging from roughly 10 (pixel rate) to over 128 (FP32). The Intel part wins only in power efficiency and display capability, both of which are qualitative advantages rather than raw performance metrics.

Users selecting between these two parts are not choosing between similar products. They are choosing between an integrated graphics processor for mobile devices and a server accelerator for compute clusters. The database records no scenario where these two parts would be considered substitutes for one another. The Intel part serves the laptop market; the H20 serves the data center market. The correct choice depends entirely on the deployment environment and workload type.