Intel Arc Graphics 1 Xe Mobile vs NVIDIA RTX 4000 Mobile Ada Generation Comparison

Head-to-Head Benchmarks

The recorded data shows no head-to-head benchmark entries for this pairing, so a direct performance comparison must be derived from the architectural and throughput specifications listed in the database. The most striking gap appears in raw shading throughput: the RTX 4000 Mobile Ada Generation delivers 24.72 TFLOPS of FP32 compute, while the Intel Arc Graphics 1 Xe Mobile reaches 588.8 GFLOPS. That places the NVIDIA part roughly 42 times higher in single-precision floating-point throughput, a margin that dominates any workload built on shader math.

Pixel throughput tells a similar story. The RTX 4000 Mobile sustains 133.2 GPixel/s against the Intel part's 9.200 GPixel/s, a factor of about 14.5. Texture rate widens further: 386.3 GTexel/s versus 18.40 GTexel/s, roughly 21 times higher. These are not close figures in any interpretation; the NVIDIA adapter commands a massive lead in every measured rate.

The Intel part does hold one advantage in clock behavior. Its boost clock reaches 2300 MHz, compared with 1665 MHz on the RTX 4000 Mobile. That higher peak frequency reflects a fundamentally different design philosophy, one built around power efficiency and small die area rather than absolute throughput. The base clock gap runs the other direction: NVIDIA starts at 1290 MHz, Intel at 300 MHz. The Intel base clock is very low, which suggests aggressive power gating and a design intended for intermittent bursts of activity rather than sustained rendering.

Similarly, memory bandwidth separates the two completely. The RTX 4000 Mobile uses 12 GB of GDDR6 on a 192-bit bus, delivering 432.0 GB/s. The Intel Arc Graphics 1 Xe Mobile uses system shared memory with bandwidth described as system dependent. No fixed number exists for the Intel side, so the comparison rests on the NVIDIA figure alone: 432.0 GB/s of dedicated bandwidth is an order of magnitude beyond what a shared-memory IGP can typically access. The database lists the NVIDIA memory clock at 2250 MHz with 18 Gbps effective, while the Intel memory clock is also listed as system shared, meaning no fixed frequency applies.

Architecture Differences

The two GPUs come from different foundries and process nodes. Intel builds the Arc Graphics 1 Xe Mobile on a 3 nm process at Intel's own foundry, using the Wildcat Lake chip and Xe3-LPG architecture. NVIDIA uses TSMC's 5 nm process for the AD104 chip, built on the Ada Lovelace architecture. The transistor counts reflect the design gulf: NVIDIA lists 35,800 million transistors on a 294 mm² die, giving a transistor density of 121.8 million per mm². Intel lists transistor count and die size as unknown, so no density figure can be computed from the database.

Core configuration differs enormously. The Intel part contains 128 shading units, 8 texture mapping units, 4 ROPs, and 1 ray tracing core. NVIDIA packs 7,424 shading units, 232 TMUs, 80 ROPs, and 58 ray tracing cores. NVIDIA also includes 232 tensor cores, while the Intel entry lists tensor cores as null, meaning the database records no tensor core count for the Intel processor. The shading unit ratio alone is 58:1 in NVIDIA's favor, which aligns with the FP32 throughput gap.

Clock strategy differs as well. Intel runs a 300 MHz base and 2300 MHz boost, a 7.67x multiplier between base and boost. NVIDIA runs 1290 MHz base and 1665 MHz boost, only a 1.29x multiplier. The Intel design leans on aggressive boosting to reach meaningful performance, while NVIDIA sustains a high base clock. Both parts list the same API support: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Memory architecture separates the two at a fundamental level. Intel uses system shared memory for capacity, type, bus width, and clock, with bandwidth marked system dependent. NVIDIA uses 12 GB of dedicated GDDR6 on a 192-bit bus with fixed 432.0 GB/s bandwidth. This means the Intel part's performance in memory-bound scenes depends entirely on the host system's RAM and memory controller, while the NVIDIA part has a predictable, fixed memory subsystem.

Power delivery also differs sharply. The Intel part carries a 25 W TDP with no power connectors, consistent with an integrated graphics processor designed for compact mobile devices. The NVIDIA part carries a 110 W TDP, also with no power connectors, which fits a mobile workstation-class discrete GPU. The bus interface reflects the same split: Intel uses IGP, NVIDIA uses PCIe 4.0 x16.

Where Each One Wins

The RTX 4000 Mobile Ada Generation wins every measured throughput category. FP32 compute, pixel fill, texture fill, ray tracing core count, tensor core availability, memory capacity, memory bandwidth, and base clock all go to NVIDIA. The 24.72 TFLOPS FP32 figure places it in a class suited to heavy compute workloads, while the 432.0 GB/s bandwidth supports large textures and high-resolution frame buffers. Its 58 ray tracing cores and 232 tensor cores give it dedicated hardware for ray-traced effects and AI-accelerated features, neither of which the Intel part can match with a single RT core and no recorded tensor cores.

The Intel Arc Graphics 1 Xe Mobile wins in power efficiency and clock ceiling. At 25 W, it consumes 85 W less than the NVIDIA part's 110 W TDP. The 2300 MHz boost clock is 635 MHz higher than NVIDIA's boost. That combination suits thermally constrained, battery-powered systems where sustained peak performance matters less than occasional bursts and low idle draw. The 3 nm process node also gives Intel a manufacturing advantage in density per watt, though the database does not list Intel's transistor count to quantify it.

For gaming at high settings, the NVIDIA part dominates. For light workloads like video playback, office applications, or casual gaming on a compact device, the Intel part provides adequate capability at a fraction of the power. The RTX 4000 Mobile is a workstation-grade component; the Intel Arc Graphics 1 Xe Mobile is an integrated solution for thin-and-light machines. The database's percentile versus all GPUs lists both at 50, but that figure appears to be a placeholder given the absence of benchmark entries.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA RTX 4000 Mobile Ada Generation reaches 24.72 TFLOPS of FP32 throughput, while the Intel Arc Graphics 1 Xe Mobile delivers 588.8 GFLOPS. NVIDIA leads by a factor of roughly 42.

Q: What are the TDP values for each GPU?

A: The Intel Arc Graphics 1 Xe Mobile has a 25 W TDP, and the NVIDIA RTX 4000 Mobile Ada Generation has a 110 W TDP.

Q: Do both GPUs support the same graphics APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: How much memory does each GPU have?

A: The NVIDIA RTX 4000 Mobile has 12 GB of GDDR6 on a 192-bit bus with 432.0 GB/s bandwidth. The Intel Arc Graphics 1 Xe Mobile uses system shared memory with bandwidth listed as system dependent.

Q: Which GPU has more ray tracing cores?

A: The NVIDIA RTX 4000 Mobile has 58 ray tracing cores. The Intel Arc Graphics 1 Xe Mobile has 1 ray tracing core.

Q: What process nodes are used for each chip?

A: Intel uses a 3 nm process at its own foundry for the Wildcat Lake chip. NVIDIA uses TSMC's 5 nm process for the AD104 chip.

Specification Differences

The two GPUs differ in nearly every recorded specification field. Process node: Intel 3 nm, NVIDIA 5 nm. Foundry: Intel versus TSMC. Transistors: NVIDIA 35,800 million, Intel unknown. Die size: NVIDIA 294 mm², Intel unknown. Transistor density: NVIDIA 121.8 million per mm², Intel not listed. Base clock: Intel 300 MHz, NVIDIA 1290 MHz. Boost clock: Intel 2300 MHz, NVIDIA 1665 MHz. Memory size: Intel system shared, NVIDIA 12 GB. Memory type: Intel system shared, NVIDIA GDDR6. Memory bus width: Intel system shared, NVIDIA 192 bit. Memory bandwidth: Intel system dependent, NVIDIA 432.0 GB/s. Memory clock: Intel system shared, NVIDIA 2250 MHz with 18 Gbps effective.

Shading units: Intel 128, NVIDIA 7,424. TMUs: Intel 8, NVIDIA 232. ROPs: Intel 4, NVIDIA 80. Ray tracing cores: Intel 1, NVIDIA 58. Tensor cores: Intel null, NVIDIA 232. Pixel rate: Intel 9.200 GPixel/s, NVIDIA 133.2 GPixel/s. Texture rate: Intel 18.40 GTexel/s, NVIDIA 386.3 GTexel/s. FP32: Intel 588.8 GFLOPS, NVIDIA 24.72 TFLOPS. FP16: Intel 1,177.6 GFLOPS (2:1), NVIDIA 24.72 TFLOPS (1:1). TDP: Intel 25 W, NVIDIA 110 W. Bus interface: Intel IGP, NVIDIA PCIe 4.0 x16. Release date: Intel 2026-04-15, NVIDIA 2023-03-20. Predecessor: Intel HD Graphics-M, NVIDIA Ampere-MW. Successor: Intel none listed, NVIDIA Blackwell-MW.

Fields that match: both are active in production status, both are IGP slot width with no power connectors, both have portable device dependent display outputs, both use the same API set, and neither has a launch MSRP recorded.

The Verdict

The data points to a complete class separation. The NVIDIA RTX 4000 Mobile Ada Generation is a high-end mobile workstation GPU built for sustained, compute-heavy rendering, ray tracing, and AI workloads. Its 24.72 TFLOPS FP32, 58 ray tracing cores, 232 tensor cores, 12 GB GDDR6, and 432.0 GB/s bandwidth establish it as the clear choice for any task where raw throughput decides the outcome. The 110 W TDP is the cost of that capability, limiting it to larger laptops with adequate cooling.

The Intel Arc Graphics 1 Xe Mobile is an integrated processor for compact systems. Its 25 W TDP, 3 nm process, and 2300 MHz boost clock target efficiency over performance. The 128 shading units, 8 TMUs, and 4 ROPs support basic rendering and light gaming, while the shared memory architecture keeps system cost and complexity low. For users who need occasional graphics acceleration in a thin device, the Intel part fits. For anyone whose work depends on frame rates, render times, or compute throughput, the NVIDIA part is the only option in this pairing.

The database shows no head-to-head benchmarks, so the verdict rests on specification analysis. Those specifications are unambiguous: NVIDIA leads in every performance metric by wide margins, and Intel leads in power efficiency and clock ceiling. Neither part serves the same market segment, and the choice between them is really a choice between integrated efficiency and discrete performance.