Intel Arc Graphics 2 Xe Mobile vs NVIDIA RTX 2000 Max-Q Ada Generation Comparison

Head-to-Head Benchmarks

The recorded benchmark data for these two mobile graphics processors is limited, with no synthetic scores available in the database. However, the architectural specifications and raw compute figures allow for a direct comparison of theoretical performance ceilings.

The NVIDIA RTX 2000 Max-Q Ada Generation delivers a substantially higher FP32 throughput at 8.940 TFLOPS, which is exactly 7.0 times the 1,280.0 GFLOPS (1.28 TFLOPS) offered by the Intel Arc Graphics 2 Xe Mobile. This is the single largest performance gap in the comparison. In texture fill rate, the NVIDIA part reaches 139.7 GTexel/s against Intel's 40.00 GTexel/s, a 3.5x advantage. Pixel fill rate follows the same pattern: 69.84 GPixel/s for NVIDIA versus 20.00 GPixel/s for Intel, a 3.5x margin.

The FP16 compute comparison is particularly instructive. Intel's 2.560 TFLOPS figure is achieved at a 2:1 ratio, meaning the hardware processes two FP16 operations per FP32 operation. NVIDIA's 8.940 TFLOPS FP16 throughput is at a 1:1 ratio, matching its FP32 rate exactly. This indicates NVIDIA's architecture does not rely on rate-converting shader tricks for half-precision work, while Intel's implementation does. In mixed-precision workloads that favor FP16, NVIDIA's raw throughput advantage is 3.5x, but the architectural approach differs fundamentally.

Clock behavior shows a different design philosophy. Intel runs a base clock of 300 MHz with a boost of 2500 MHz, an 8.3x ratio between the two states. NVIDIA operates from 930 MHz base to 1455 MHz boost, a much tighter 1.6x ratio. The Intel part is designed to idle extremely low and scale aggressively when needed, while NVIDIA maintains a higher floor and a more modest boost ceiling. The NVIDIA chip achieves its higher compute rates despite a lower boost clock relative to Intel's, which points to a wider execution engine (3072 shading units versus 256) rather than raw frequency.

Memory bandwidth is a decisive factor. NVIDIA uses 8 GB of GDDR6 on a 128-bit bus, yielding 256.0 GB/s of bandwidth. Intel uses system shared memory with a bus width listed as system shared, and bandwidth is system dependent. The database records no fixed bandwidth figure for the Intel part, which means its memory throughput can vary based on the host platform's memory configuration. In any scenario, the NVIDIA part's dedicated 256.0 GB/s is a fixed, guaranteed resource, while Intel's integrated design competes with the CPU for the same memory channels.

The Verdict

The database shows two processors aimed at different corners of the mobile market. The NVIDIA RTX 2000 Max-Q Ada Generation is the clear performance leader across every recorded compute metric. Its FP32 rate is 7.0x higher, its texture rate is 3.5x higher, and its pixel rate is 3.5x higher. It also brings 8 GB of dedicated GDDR6 memory with 256.0 GB/s bandwidth, a configuration the Intel part cannot match because its memory is system shared.

The Intel Arc Graphics 2 Xe Mobile is a 25 W integrated solution on Intel's 3 nm node, while NVIDIA's part is a 35 W discrete-class mobile GPU on TSMC's 5 nm process. The power envelope difference is 10 W, but the performance difference is multiples. For workloads that rely on raw shader throughput, texture filtering, or memory bandwidth, the NVIDIA part dominates.

The Intel part's advantages are structural rather than performance-based. It is an IGP with no power connectors, meaning it requires no additional power delivery beyond the system's standard allocation. It also uses system shared memory, which removes the cost and complexity of dedicated VRAM but caps its bandwidth at whatever the host platform provides.

Where Each One Wins

The NVIDIA RTX 2000 Max-Q Ada Generation wins in every scenario that demands sustained compute throughput. Its 3072 shading units, 96 TMUs, and 48 ROPs provide a wide execution pipeline. The 24 RT cores and 96 tensor cores give it dedicated hardware for ray tracing and AI-accelerated workloads, capabilities the Intel part lacks entirely in its recorded specifications. The 8 GB GDDR6 frame buffer with 256.0 GB/s bandwidth is suited for larger textures, higher resolutions, and datasets that exceed what shared memory can efficiently handle.

The Intel Arc Graphics 2 Xe Mobile wins in scenarios where power delivery and thermal headroom are constrained. Its 25 W TDP is 10 W lower than NVIDIA's 35 W figure. It is an IGP with no power connectors, so it integrates into platforms without discrete GPU power routing. Its system shared memory approach means the system designer does not need to budget for dedicated VRAM modules. The 2 RT cores provide basic ray tracing capability, but with only 8 ROPs and 16 TMUs, the execution width is limited.

For ultraportable devices where the CPU and GPU share a single thermal budget, the Intel part's 3 nm process node and 300 MHz base clock allow for aggressive power gating. The NVIDIA part, despite being a Max-Q variant, still requires its own 35 W allocation and a PCIe 4.0 x16 connection.

FAQ

Q: Which GPU has the higher FP32 compute throughput?

A: The NVIDIA RTX 2000 Max-Q Ada Generation delivers 8.940 TFLOPS, which is 7.0x the 1,280.0 GFLOPS of the Intel Arc Graphics 2 Xe Mobile.

Q: How do the memory configurations differ?

A: NVIDIA uses 8 GB of GDDR6 on a 128-bit bus with 256.0 GB/s bandwidth. Intel uses system shared memory with a system shared bus width and system dependent bandwidth.

Q: What are the power consumption figures?

A: The Intel part has a 25 W TDP, while the NVIDIA part has a 35 W TDP, a difference of 10 W.

Q: Do both GPUs support DirectX 12 Ultimate?

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

Q: What process nodes are used?

A: Intel's Wildcat Lake chip uses a 3 nm node from Intel's own foundry. NVIDIA's AD107 chip uses a 5 nm node from TSMC.

Q: Does the Intel GPU have dedicated tensor cores?

A: No tensor core count is recorded for the Intel Arc Graphics 2 Xe Mobile. The NVIDIA part has 96 tensor cores.

Architecture Differences

The two GPUs represent fundamentally different design approaches. Intel's Wildcat Lake chip uses the Xe3-LPG architecture, built on a 3 nm process at Intel's foundry. NVIDIA's AD107 chip uses the Ada Lovelace architecture, built on a 5 nm process at TSMC. The transistor count for Intel's part is listed as unknown, while NVIDIA's AD107 contains 18,900 million transistors on a 159 mm² die, giving a transistor density of 118.9M per mm².

The execution resources differ by an order of magnitude. Intel configures 256 shading units, 16 TMUs, and 8 ROPs. NVIDIA scales to 3072 shading units, 96 TMUs, and 48 ROPs. The NVIDIA part is 12.0x wider in shader count, 6.0x wider in TMUs, and 6.0x wider in ROPs. Ray tracing hardware shows a 12.0x gap: Intel has 2 RT cores, NVIDIA has 24. Tensor cores exist only on the NVIDIA side with 96 units; Intel records none.

Clock strategy differs as well. Intel's base clock of 300 MHz and boost of 2500 MHz provide a wide dynamic range for power management. NVIDIA's 930 MHz base and 1455 MHz boost are closer together, suggesting a more consistent operating point under load. The NVIDIA boost clock is 58.2% of Intel's boost clock, yet NVIDIA still achieves far higher throughput due to its wider architecture.

Memory architecture is a core differentiator. Intel uses system shared memory with no dedicated VRAM, no fixed bus width, and bandwidth that depends on the host system. NVIDIA has 8 GB of GDDR6 on a 128-bit bus with a fixed 256.0 GB/s bandwidth. The NVIDIA memory clock is listed at 2000 MHz with 16 Gbps effective data rate.

The bus interface reflects the integration level. Intel uses an IGP interface with no power connectors. NVIDIA also uses an IGP slot width and no power connectors, but its bus interface is PCIe 4.0 x16, a discrete-style connection. Both are listed as active production parts. Intel's release date is recorded as April 2026, while NVIDIA's is March 2023. NVIDIA lists a predecessor (Ampere-MW) and a successor (Blackwell-MW); Intel lists a predecessor (HD Graphics-M) and no successor. Display outputs for both are portable device dependent.

The feature sets converge on API support: both list DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The practical difference lies in the hardware behind those APIs. NVIDIA's 24 RT cores and 96 tensor cores provide dedicated acceleration paths for ray tracing and neural network inference. Intel's 2 RT cores offer entry-level ray tracing support, and no tensor core count is recorded. The 2:1 FP16 ratio on Intel versus the 1:1 ratio on NVIDIA further separates the two in compute-heavy applications.