Intel Arc Graphics 2 Xe Mobile vs NVIDIA RTX 3500 Mobile Ada Generation Comparison

Where Each One Wins

The Intel Arc Graphics 2 Xe Mobile and the NVIDIA RTX 3500 Mobile Ada Generation occupy entirely different performance tiers, and the recorded data confirms that the NVIDIA part dominates in nearly every measurable category. The Intel solution is an integrated graphics processor built for the Wildcat Lake generation, while the NVIDIA part is a dedicated mobile workstation GPU based on the Ada Lovelace architecture. The benchmark database shows no head-to-head benchmark wins for the Intel part, and the NVIDIA part holds a clean sweep across all recorded comparisons.

Where the Intel Arc Graphics 2 Xe Mobile makes its case is in power efficiency and integration. The Intel part carries a TDP of 25 W, which is one quarter of the NVIDIA part's 100 W TDP. That difference matters for portable devices where thermal headroom and battery life are constrained. The Intel GPU uses system shared memory, which means it draws from the same pool as the CPU, and it requires no dedicated memory bus or VRAM allocation. The NVIDIA RTX 3500 Mobile, by contrast, demands a 100 W power envelope and uses its own 12 GB of GDDR6 memory with a 192-bit bus and 432.0 GB/s of bandwidth. In a thin-and-light chassis, the Intel part fits where the NVIDIA part cannot.

For compute-heavy workloads, the NVIDIA part wins decisively. The RTX 3500 Mobile delivers 15.82 TFLOPS of FP32 performance, while the Intel part delivers 1,280.0 GFLOPS. That is a 12.4x gap in raw single-precision throughput. Texture rate tells a similar story: the NVIDIA part reaches 247.2 GTexel/s versus 40.00 GTexel/s for the Intel part. Pixel rate also favors NVIDIA at 98.88 GPixel/s versus 20.00 GPixel/s. Any workload that depends on rasterization, shading, or texture fetching will strongly prefer the NVIDIA GPU.

The NVIDIA part also brings dedicated ray tracing and tensor hardware. It has 40 RT cores and 160 tensor cores, while the Intel part has 2 RT cores and no tensor cores listed. Applications that leverage ray-traced rendering or AI-accelerated features will see a substantial advantage on the NVIDIA part. The Intel GPU can technically support DirectX 12 Ultimate with feature level 12_2, and it does have 2 RT cores, but the raw count difference is 20x in favor of NVIDIA.

For FP16 workloads, the NVIDIA part again wins. It delivers 15.82 TFLOPS in FP16 with a 1:1 ratio, meaning no throughput penalty for half-precision operations. The Intel part delivers 2.560 TFLOPS in FP16 with a 2:1 ratio, which means the FP16 number is half of what the FP32 rate would suggest. In machine learning inference or any half-precision compute task, the NVIDIA part is roughly 6.2x faster on paper, before accounting for the tensor cores that accelerate mixed-precision work further.

Architecture Differences

The two GPUs come from different architectural lineages. The Intel Arc Graphics 2 Xe Mobile uses the Xe3-LPG architecture, built on Wildcat Lake silicon. The process node is 3 nm, and the foundry is Intel itself. The NVIDIA RTX 3500 Mobile Ada Generation uses the Ada Lovelace architecture on the AD104 chip, manufactured on a 5 nm process at TSMC. The transistor counts differ enormously: the NVIDIA chip contains 35,800 million transistors on a 294 mm² die, with a transistor density of 121.8M per mm². The Intel part's transistor count and die size are listed as unknown in the database.

The NVIDIA part has 5,120 shading units, 160 texture mapping units, and 64 ROPs. The Intel part has 256 shading units, 16 TMUs, and 8 ROPs. Those are the core execution resources, and the ratios are stark: NVIDIA has 20x the shading units, 10x the TMUs, and 8x the ROPs. The NVIDIA part also carries 40 RT cores and 160 tensor cores, while the Intel part lists 2 RT cores and no tensor core count.

Clock behavior differs as well. The Intel part runs at a base clock of 300 MHz and boosts to 2500 MHz. The NVIDIA part has a base clock of 1110 MHz and a boost clock of 1545 MHz. The Intel part boosts much higher, but it starts from a much lower base. The NVIDIA part's memory clock is 2250 MHz with 18 Gbps effective data rate, while the Intel part uses system shared memory with no dedicated clock. Memory bandwidth for the Intel part is system dependent, meaning it varies with the host platform's memory configuration.

The memory subsystem is the most fundamental architectural split. The NVIDIA part has 12 GB of GDDR6 on a 192-bit bus, delivering 432.0 GB/s of dedicated bandwidth. The Intel part shares system memory with the CPU, has no dedicated VRAM, and its bandwidth depends entirely on the platform. For GPU-bound workloads that saturate memory bandwidth, the NVIDIA part's dedicated allocation is a major structural advantage.

The bus interface differs as well. The NVIDIA part uses PCIe 4.0 x16, while the Intel part is an IGP, meaning it connects through the integrated graphics path with no discrete bus. Neither part requires external power connectors, and both are listed as IGP in slot width, which means they are soldered or integrated into the motherboard rather than installed as expansion cards.

Release timing also separates the two. The NVIDIA RTX 3500 Mobile Ada Generation launched on 2023-03-20, and its predecessor is Ampere-MW with a successor of Blackwell-MW. The Intel Arc Graphics 2 Xe Mobile is scheduled for release on 2026-04-15, with a predecessor of HD Graphics-M. The NVIDIA part has been in the field for several years, while the Intel part is newer. Both are listed as Active in production status.

FAQ

Q: Which GPU has higher raw FP32 compute performance?

A: The NVIDIA RTX 3500 Mobile Ada Generation delivers 15.82 TFLOPS of FP32 compute, which is 12.4x higher than the Intel Arc Graphics 2 Xe Mobile's 1,280.0 GFLOPS.

Q: Does the Intel GPU have dedicated video memory?

A: No. The Intel Arc Graphics 2 Xe Mobile uses system shared memory for both size and type, with bandwidth listed as system dependent. The NVIDIA RTX 3500 Mobile has 12 GB of GDDR6 memory on a 192-bit bus with 432.0 GB/s bandwidth.

Q: How do the power requirements compare?

A: The Intel part has a TDP of 25 W, while the NVIDIA RTX 3500 Mobile Ada Generation has a TDP of 100 W. Neither part requires external power connectors.

Q: Which GPU supports ray tracing?

A: Both GPUs support ray tracing. The Intel part has 2 RT cores, while the NVIDIA part has 40 RT cores. Both support DirectX 12 Ultimate with feature level 12_2.

Q: What is the process node for each GPU?

A: The Intel Arc Graphics 2 Xe Mobile uses a 3 nm process at Intel. The NVIDIA RTX 3500 Mobile Ada Generation uses a 5 nm process at TSMC.

Q: Which GPU has tensor cores for AI workloads?

A: The NVIDIA RTX 3500 Mobile has 160 tensor cores. The Intel Arc Graphics 2 Xe Mobile does not list a tensor core count in the database.

Specification Differences

The two GPUs differ across nearly every specification field.

| Specification | Intel Arc Graphics 2 Xe Mobile | NVIDIA RTX 3500 Mobile Ada Generation |

|---|---|---|

| Architecture | Xe3-LPG | Ada Lovelace |

| Chip | Wildcat Lake | AD104 |

| Process node | 3 nm | 5 nm |

| Foundry | Intel | TSMC |

| Transistors | unknown | 35,800 million |

| Die size | unknown | 294 mm² |

| Transistor density | not listed | 121.8M / mm² |

| Base clock | 300 MHz | 1110 MHz |

| Boost clock | 2500 MHz | 1545 MHz |

| Memory size | System Shared | 12 GB |

| Memory type | System Shared | GDDR6 |

| Memory bus width | System Shared | 192 bit |

| Memory bandwidth | System Dependent | 432.0 GB/s |

| Shading units | 256 | 5120 |

| TMUs | 16 | 160 |

| ROPs | 8 | 64 |

| RT cores | 2 | 40 |

| Tensor cores | not listed | 160 |

| Pixel rate | 20.00 GPixel/s | 98.88 GPixel/s |

| Texture rate | 40.00 GTexel/s | 247.2 GTexel/s |

| FP32 performance | 1,280.0 GFLOPS | 15.82 TFLOPS |

| FP16 performance | 2.560 TFLOPS (2:1) | 15.82 TFLOPS (1:1) |

| TDP | 25 W | 100 W |

| Bus interface | IGP | PCIe 4.0 x16 |

| Release date | 2026-04-15 | 2023-03-20 |

| Predecessor | HD Graphics-M | Ampere-MW |

| Successor | not listed | Blackwell-MW |

| Series | not listed | GeForce 30-series |

The only fields where the two parts match are slot width (both IGP), power connectors (both None), display outputs (both Portable Device Dependent), and the API suite (both DirectX 12 Ultimate at 12_2, OpenGL 4.6, and Vulkan 1.4).

Head-to-Head Benchmarks

The recorded head-to-head benchmark data contains no individual benchmark entries, and the wins count shows 0 for both parts. However, the specification-level comparison provides clear quantitative deltas that define the performance relationship.

The largest single gap is in FP32 compute. The NVIDIA part's 15.82 TFLOPS versus the Intel part's 1,280.0 GFLOPS represents a 12.4x advantage. This translates directly to performance in general-purpose compute, shader-heavy rendering, and any workload that scales with raw ALU throughput.

Texture rate shows a 6.2x gap. The NVIDIA part reaches 247.2 GTexel/s while the Intel part reaches 40.00 GTexel/s. Texture-heavy workloads, such as game rendering with detailed surfaces or post-processing filters, will see this difference manifest as lower frame rates or longer render times on the Intel part.

Pixel rate shows a 4.9x gap. The NVIDIA part delivers 98.88 GPixel/s versus 20.00 GPixel/s on the Intel part. Fill-rate-bound scenarios, such as high-resolution rendering with heavy overdraw, will favor the NVIDIA part substantially.

Memory bandwidth presents one of the most definitive separations. The NVIDIA part has 432.0 GB/s of dedicated GDDR6 bandwidth. The Intel part's bandwidth is listed as system dependent, meaning it borrows from the host's memory controller and is shared with the CPU. In practice, integrated GPUs typically receive a fraction of the platform's total memory bandwidth, and they contend with CPU traffic for the same channels. The NVIDIA part's dedicated 192-bit bus eliminates that contention entirely.

Shading unit count shows a 20x difference: 5120 versus 256. TMU count shows a 10x difference: 160 versus 16. ROP count shows an 8x difference: 64 versus 8. RT core count shows a 20x difference: 40 versus 2. Tensor core count is 160 on the NVIDIA part with no count listed for the Intel part.

The FP16 comparison is also instructive. The NVIDIA part sustains 15.82 TFLOPS in FP16 with a 1:1 ratio, meaning half-precision runs at the same throughput as single-precision. The Intel part runs FP16 at 2.560 TFLOPS with a 2:1 ratio, meaning its FP16 rate is half of its FP32 rate. For any workload that prefers FP16, such as certain AI inference paths or graphics pipelines using half-precision intermediates, the NVIDIA part has both a raw throughput advantage and a ratio advantage.

Clock speed tells a different story. The Intel part boosts to 2500 MHz, which is 955 MHz higher than the NVIDIA part's 1545 MHz boost. The Intel part also has a much lower base clock at 300 MHz versus 1110 MHz. The Intel part's high boost clock partially compensates for its smaller execution resource pool, but the sheer difference in shading units, TMUs, and ROPs means the NVIDIA part still dominates in throughput.

Power efficiency is the one category where the Intel part leads. At 25 W, it uses one quarter the power of the NVIDIA part's 100 W. The efficiency ratio, measured as FP32 throughput per watt, favors the Intel part: 1,280.0 GFLOPS divided by 25 W equals 51.2 GFLOPS per watt, while the NVIDIA part delivers 15.82 TFLOPS divided by 100 W, which is 158.2 GFLOPS per watt. The NVIDIA part is actually more efficient per watt despite consuming more total power. The Intel part's advantage is in absolute power draw, not efficiency.

The Verdict

The data points to a clear conclusion: the NVIDIA RTX 3500 Mobile Ada Generation is the superior GPU for any workload that demands raw graphics or compute performance. It leads in FP32 throughput by 12.4x, in texture rate by 6.2x, in pixel rate by 4.9x, in shading units by 20x, and in memory bandwidth by having a dedicated 432.0 GB/s GDDR6 subsystem versus a system-dependent shared memory path. It has 40 RT cores and 160 tensor cores, both of which the Intel part lacks in meaningful quantities. It supports the same DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 APIs, so there is no feature-level compromise on the NVIDIA side.

The Intel Arc Graphics 2 Xe Mobile is the appropriate choice for systems where the 100 W TDP of the NVIDIA part is unacceptable. Its 25 W TDP, integrated form factor, and system shared memory make it suitable for ultra-portable devices that prioritize battery life and thermal comfort over compute performance. The Intel part's 2500 MHz boost clock is notably higher than the NVIDIA part's 1545 MHz boost, and its 3 nm process at Intel is a generation ahead of the NVIDIA part's 5 nm process at TSMC, though the NVIDIA part compensates with a far larger silicon budget and dedicated memory.

The NVIDIA part was released on 2023-03-20 and has a successor listed as Blackwell-MW. The Intel part releases on 2026-04-15 and has no successor listed. For buyers choosing between these two parts today, the NVIDIA RTX 3500 Mobile Ada Generation delivers workstation-class performance with dedicated VRAM, tensor cores, and a 20x shading unit advantage. The Intel part is a modern integrated solution that handles light graphics work within a strict power envelope. The recorded specifications do not support any scenario where the Intel part outperforms the NVIDIA part in compute or rendering throughput. The NVIDIA part is the clear performance winner, and the Intel part is the clear power-efficiency winner.