Intel Arc Graphics 4 Xe Mobile vs NVIDIA RTX 3000 Mobile Ada Generation Comparison

Intel Arc Graphics 4 Xe Mobile and NVIDIA RTX 3000 Mobile Ada Generation occupy different positions in the mobile graphics landscape. The recorded data shows two designs with distinct architectural priorities, process technologies, and performance characteristics. This analysis draws exclusively on the database entries for both parts.

Head-to-Head Benchmarks

The database contains no direct benchmark scores for either GPU. Both parts show an average benchmark score of zero, and the head-to-head benchmark array is empty. Without recorded measurements, direct performance comparisons must be derived from the theoretical specification data.

The most significant gap appears in FP32 compute. The NVIDIA part delivers 15.62 TFLOPS, while the Intel part provides 2.355 TFLOPS. This represents a 6.6x difference in raw floating-point throughput. The NVIDIA GPU achieves this through 4608 shading units operating at a boost clock of 1695 MHz. The Intel GPU uses 512 shading units at a boost clock of 2300 MHz. The higher clock rate on the Intel chip does not compensate for the 9x difference in shading unit count.

Texture throughput shows a similar pattern. The NVIDIA part reaches 244.1 GTexel/s with 144 texture mapping units. The Intel part manages 73.60 GTexel/s with 32 TMUs. The NVIDIA GPU holds a 3.3x advantage in texture fill rate. Pixel throughput tells a different story in magnitude but the same story in direction. NVIDIA records 81.36 GPixel/s from 48 ROPs, while Intel records 36.80 GPixel/s from 16 ROPs. The NVIDIA advantage here is 2.2x, smaller than the compute gap because the Intel ROPs run at a substantially higher clock.

The FP16 comparison reveals an architectural divergence. Intel lists 4.710 TFLOPS with a 2:1 ratio, meaning FP16 throughput is exactly double the FP32 rate. NVIDIA lists 15.62 TFLOPS with a 1:1 ratio, meaning FP16 and FP32 run at identical rates. Despite the NVIDIA part having a 3.3x overall FP16 advantage, the Intel architecture demonstrates a more aggressive approach to reduced-precision compute. This matters for workloads that can use FP16, where the Intel part extracts proportionally more from its hardware than the NVIDIA part does.

Memory bandwidth creates another clear separation. The NVIDIA GPU uses 8 GB of GDDR6 on a 128-bit bus, delivering 256.0 GB/s. The Intel GPU uses system shared memory with bandwidth described as system dependent. In configurations where the system memory bandwidth is lower than dedicated GDDR6, the Intel part will face a substantial memory throughput deficit. The NVIDIA memory clock is listed at 2000 MHz with 16 Gbps effective transfer rate.

The NVIDIA part wins every measured specification category. The Intel part wins on boost clock (2300 MHz versus 1695 MHz) and base clock (300 MHz versus 1395 MHz is not a win, but the boost clock is). The Intel chip also consumes less power, at 25 W versus 115 W, which is a 4.6x difference in TDP.

Architecture Differences

The two GPUs come from different manufacturers, process nodes, and architectural generations. Intel builds the Arc Graphics 4 Xe Mobile on a 3 nm process at Intel's own foundry. The chip is code-named Panther Lake and uses the Xe3-LPG architecture. NVIDIA builds the RTX 3000 Mobile Ada Generation on a 5 nm process at TSMC, using the AD106 chip with Ada Lovelace architecture.

The transistor counts show the scale difference. NVIDIA lists 22,900 million transistors on a 188 mm² die, giving a transistor density of 121.8M per mm². Intel lists the transistor count and die size as unknown. The NVIDIA chip is a large, dense design. The Intel part, with 512 shading units, is a much smaller implementation, though its exact physical dimensions are not recorded.

Memory architecture differs fundamentally. The Intel GPU uses system shared memory, with the memory type, bus width, and bandwidth all listed as system shared or system dependent. The NVIDIA GPU has dedicated 8 GB GDDR6 memory with a 128-bit bus and fixed 256.0 GB/s bandwidth. This changes how each GPU performs in memory-bound scenarios. Dedicated memory provides predictable latency and bandwidth. Shared memory performance varies with the host system's memory configuration.

Ray tracing hardware exists on both, but in different quantities. Intel includes 4 ray tracing cores. NVIDIA includes 36 RT cores, a 9x difference. Tensor core availability is exclusive to NVIDIA. The RTX 3000 Mobile Ada Generation has 144 tensor cores. The Intel part lists tensor cores as null. This means AI acceleration features available through NVIDIA's tensor cores, including DLSS and other neural network workloads, have no direct equivalent in the Intel specification.

The compute architecture also differs in FP16 handling. Intel uses a 2:1 FP16 to FP32 ratio, indicating dedicated hardware that doubles throughput in reduced precision. NVIDIA uses a 1:1 ratio, meaning FP16 and FP32 execute at the same rate. For AI inference and certain compute tasks that tolerate FP16, the Intel approach extracts more relative performance from its hardware. For absolute throughput, NVIDIA remains ahead.

Power delivery and system integration differ as well. Both are listed as IGP (integrated graphics processor) with no power connectors. The bus interface, however, is different. Intel uses IGP, while NVIDIA uses PCIe 4.0 x16. The NVIDIA part connects through a full 16-lane PCIe 4.0 interface, which matters for data transfer between the GPU and the host. The Intel part, being integrated, relies on the internal fabric of the Panther Lake processor.

Process node advantage belongs to Intel at 3 nm versus 5 nm. This contributes to the Intel part's lower power consumption. The NVIDIA part draws 115 W, which is 4.6x higher than the Intel 25 W. For a given thermal envelope, the Intel part leaves more power headroom for the CPU and other components.

Where Each One Wins

The data indicates the NVIDIA RTX 3000 Mobile Ada Generation wins in raw compute throughput, memory bandwidth, and feature completeness. It has more shading units, TMUs, ROPs, RT cores, and the only tensor cores in this comparison. Its 15.62 TFLOPS FP32 performance is 6.6x higher than the Intel part. Its 256.0 GB/s dedicated memory bandwidth provides consistent performance for texture-heavy and bandwidth-intensive workloads. The 8 GB VRAM capacity supports larger working sets than system shared memory in most laptop configurations.

The NVIDIA part also leads in ray tracing with 36 RT cores versus 4, and it has 144 tensor cores where the Intel part has none. Applications that use ray traced effects or AI acceleration will favor the NVIDIA GPU. The PCIe 4.0 x16 interface provides a high-bandwidth connection to the host, which is relevant for discrete GPU workloads.

The Intel Arc Graphics 4 Xe Mobile wins in power efficiency and integration. At 25 W, it uses less than a quarter of the NVIDIA part's power budget. The 3 nm process node and IGP form factor make it suitable for thin and light systems where power and space are constrained. Its higher boost clock of 2300 MHz, compared to 1695 MHz, shows the architecture can reach high frequencies when the workload allows.

The Intel part also wins on FP16 efficiency. The 2:1 ratio means the architecture dedicates more relative throughput to reduced-precision compute. In workloads that can use FP16, the Intel part narrows the gap with the NVIDIA part. The FP16 figures are 4.710 TFLOPS for Intel versus 15.62 TFLOPS for NVIDIA, a 3.3x difference, versus the 6.6x difference in FP32. This shows the Intel architecture is comparatively stronger in FP16.

For users prioritizing battery life and portability, the Intel part's 25 W TDP is a clear advantage. For users prioritizing frame rates and compute performance, the NVIDIA part's specification sheet is dominant. The release dates reflect the generational difference: the NVIDIA part launched on 2023-03-20, while the Intel part launched on 2026-01-26. The NVIDIA part has a predecessor (Ampere-MW) and successor (Blackwell-MW) listed, while the Intel part has neither.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA RTX 3000 Mobile Ada Generation delivers 15.62 TFLOPS FP32, which is 6.6x higher than the Intel Arc Graphics 4 Xe Mobile at 2.355 TFLOPS.

Q: How does memory configuration differ between the two?

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

Q: Does the Intel GPU have tensor cores?

A: No. The Intel Arc Graphics 4 Xe Mobile lists tensor cores as null. The NVIDIA RTX 3000 Mobile Ada Generation has 144 tensor cores.

Q: What are the power consumption figures?

A: The Intel part has a TDP of 25 W. The NVIDIA part has a TDP of 115 W. The Intel part consumes 4.6x less power.

Q: Which GPU has more ray tracing cores?

A: The NVIDIA part has 36 RT cores. The Intel part has 4 RT cores. NVIDIA leads by a 9x margin.

Q: What process nodes are used?

A: Intel uses a 3 nm process at Intel foundry. NVIDIA uses a 5 nm process at TSMC.

Specification Differences

| Specification | Intel Arc Graphics 4 Xe Mobile | NVIDIA RTX 3000 Mobile Ada Generation |

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

| Manufacturer | Intel | NVIDIA |

| Chip | Panther Lake | AD106 |

| Architecture | Xe3-LPG | Ada Lovelace |

| Process Node | 3 nm | 5 nm |

| Foundry | Intel | TSMC |

| Transistors | Unknown | 22,900 million |

| Die Size | Unknown | 188 mm² |

| Transistor Density | Null | 121.8M / mm² |

| Base Clock | 300 MHz | 1395 MHz |

| Boost Clock | 2300 MHz | 1695 MHz |

| Memory Size | System Shared | 8 GB |

| Memory Type | System Shared | GDDR6 |

| Memory Bus Width | System Shared | 128 bit |

| Memory Bandwidth | System Dependent | 256.0 GB/s |

| Shading Units | 512 | 4608 |

| TMUs | 32 | 144 |

| ROPs | 16 | 48 |

| RT Cores | 4 | 36 |

| Tensor Cores | Null | 144 |

| Pixel Rate | 36.80 GPixel/s | 81.36 GPixel/s |

| Texture Rate | 73.60 GTexel/s | 244.1 GTexel/s |

| FP32 | 2.355 TFLOPS | 15.62 TFLOPS |

| FP16 | 4.710 TFLOPS (2:1) | 15.62 TFLOPS (1:1) |

| TDP | 25 W | 115 W |

| Bus Interface | IGP | PCIe 4.0 x16 |

| Release Date | 2026-01-26 | 2023-03-20 |

| Predecessor | Null | Ampere-MW |

| Successor | Null | Blackwell-MW |

Both GPUs share the same DirectX version (12 Ultimate with 12_2), OpenGL 4.6, and Vulkan 1.4. Both are listed as active production status with IGP slot width, no power connectors, and portable device dependent display outputs. Neither has a launch MSRP in the database.

The specification table shows two designs optimized for different purposes. The NVIDIA part is a high-power discrete GPU with dedicated memory and a full PCIe 4.0 x16 interface. The Intel part is a low-power integrated GPU with shared memory and a 3 nm process advantage. The performance data, where available, consistently favors the NVIDIA part, while the efficiency data favors the Intel part.