Intel Arc G3 vs NVIDIA RTX 500 Mobile Ada Generation Comparison

FAQ

Q: What are the core architectural differences between the Intel Arc G3 and the NVIDIA RTX 500 Mobile Ada Generation?

A: The Intel Arc G3 uses the Xe3-LPG architecture on a 3 nm process from Intel, built around the Panther Lake chip. The NVIDIA RTX 500 Mobile Ada Generation uses the Ada Lovelace architecture on a 5 nm process from TSMC, built around the AD107 chip.

Q: How do the two GPUs compare in terms of compute resources?

A: The NVIDIA RTX 500 has 2048 shading units, 64 texture mapping units, 32 raster operation units, 16 ray tracing cores, and 64 tensor cores. The Intel Arc G3 has 1280 shading units, 40 TMUs, 20 ROPs, and 10 ray tracing cores, with no tensor cores listed.

Q: What is the difference in memory configuration?

A: The NVIDIA RTX 500 uses 4 GB of GDDR6 memory on a 64-bit bus with 128.0 GB/s of bandwidth. The Intel Arc G3 uses system shared memory, with the bus width, type, and bandwidth all listed as system dependent.

Q: Which GPU has a higher boost clock?

A: The Intel Arc G3 has a boost clock of 2400 MHz, while the NVIDIA RTX 500 Mobile Ada Generation has a boost clock of 2025 MHz. The Intel part also has a lower base clock at 300 MHz versus 1485 MHz for the NVIDIA part.

Q: What are the power requirements for each GPU?

A: The Intel Arc G3 has a TDP of 25 W, while the NVIDIA RTX 500 Mobile Ada Generation has a TDP of 35 W. Both are integrated-class parts with no power connectors and are listed as IGP slot width.

Q: Which GPU was released more recently?

A: The Intel Arc G3 has a release date of 2026-05-31, while the NVIDIA RTX 500 Mobile Ada Generation was released on 2024-02-25.

Where Each One Wins

The NVIDIA RTX 500 Mobile Ada Generation wins on raw compute throughput in every measured category. Its FP32 performance of 8.294 TFLOPS exceeds the Intel Arc G3's 6.144 TFLOPS by roughly 35%. The NVIDIA part also leads in pixel rate with 64.80 GPixel/s versus 48.00 GPixel/s, a 35% advantage. Texture rate follows the same pattern: 129.6 GTexel/s versus 96.00 GTexel/s, again a 35% lead. The NVIDIA card has more shading units, more TMUs, more ROPs, more ray tracing cores, and the only tensor cores in the comparison. It also has dedicated GDDR6 memory with fixed bandwidth, while the Intel part relies on system shared memory.

The Intel Arc G3 wins on clock speed and power efficiency. Its boost clock of 2400 MHz is 375 MHz higher than the NVIDIA part's 2025 MHz. Its base clock of 300 MHz is dramatically lower, which indicates a wider dynamic range. The Intel part consumes 25 W versus 35 W for the NVIDIA part, a 10 W lower TDP. The Intel part also uses a 3 nm process compared to the 5 nm process for the NVIDIA part, which explains how it achieves competitive performance at lower power. For FP16 workloads, the Intel Arc G3 delivers 12.29 TFLOPS using a 2:1 ratio, while the NVIDIA part delivers 8.294 TFLOPS at 1:1, meaning the Intel part has a distinct advantage in workloads that can use packed FP16 instructions.

Architecture Differences

The two GPUs come from different architecture generations and design philosophies. The Intel Arc G3 uses Xe3-LPG, built on Intel's Panther Lake chip at 3 nm. The NVIDIA RTX 500 Mobile Ada Generation uses Ada Lovelace, built on the AD107 chip at 5 nm from TSMC. The process node difference is significant: 3 nm versus 5 nm gives Intel a density and efficiency advantage, while NVIDIA compensates with a larger, more complex chip.

Transistor counts tell part of the story. The NVIDIA part carries 18,900 million transistors on a 159 mm² die, resulting in a transistor density of 118.9M per mm². The Intel part's transistor count and die size are unknown in the database. The NVIDIA part's die is built for compute density, with 2048 shading units packed into a small mobile form factor.

The Intel Arc G3 has no tensor cores listed, while the NVIDIA RTX 500 has 64 tensor cores. This is a structural difference, not just a numerical one. Tensor cores accelerate AI workloads, and their absence in the Intel part means any AI acceleration must come from other parts of the architecture. Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API-level feature parity exists despite the internal differences.

Memory architecture diverges sharply. The Intel Arc G3 uses system shared memory with system-dependent bandwidth, typical of an integrated GPU. The NVIDIA RTX 500 uses 4 GB of dedicated GDDR6 on a 64-bit bus with 128.0 GB/s of fixed bandwidth. The NVIDIA part also uses a PCIe 4.0 x8 bus interface, while the Intel part is listed as IGP, meaning it connects through the processor's integrated fabric.

Ray tracing hardware exists in both parts but with different counts: 10 ray tracing cores in the Intel Arc G3 versus 16 in the NVIDIA RTX 500. The NVIDIA part's ray tracing implementation comes from the Ada Lovelace generation, which includes dedicated hardware for traversal and intersection. The Intel part's Xe3-LPG ray tracing cores serve the same purpose but at a lower count.

Specification Differences

The clock behavior differs substantially. The Intel Arc G3 runs at a 300 MHz base clock and boosts to 2400 MHz. The NVIDIA RTX 500 runs at a 1485 MHz base clock and boosts to 2025 MHz. The Intel part has a 375 MHz higher boost clock but a 1185 MHz lower base clock. Memory clocks are listed as system shared for Intel and 2000 MHz with 16 Gbps effective for NVIDIA.

Shading units: 1280 for Intel, 2048 for NVIDIA. Texture mapping units: 40 versus 64. Raster operation units: 20 versus 32. Ray tracing cores: 10 versus 16. Tensor cores: none listed for Intel, 64 for NVIDIA. These are the compute resources that determine rasterization and ray tracing throughput.

Pixel rate is 48.00 GPixel/s for Intel and 64.80 GPixel/s for NVIDIA. Texture rate is 96.00 GTexel/s for Intel and 129.6 GTexel/s for NVIDIA. FP32 performance is 6.144 TFLOPS for Intel and 8.294 TFLOPS for NVIDIA. FP16 performance is 12.29 TFLOPS (2:1) for Intel and 8.294 TFLOPS (1:1) for NVIDIA.

TDP is 25 W for Intel and 35 W for NVIDIA. Both have IGP slot width and no power connectors. The bus interface differs: IGP for Intel, PCIe 4.0 x8 for NVIDIA. Display outputs are portable device dependent for both. The NVIDIA part has a known transistor count of 18,900 million and die size of 159 mm²; both are unknown for the Intel part. The NVIDIA part lists a predecessor (Ampere-MW) and successor (Blackwell-MW); the Intel part lists neither.

Head-to-Head Benchmarks

The recorded data shows no direct benchmark scores for either GPU, so the comparison must rest on the architectural specifications and derived throughput figures in the database. The most decisive advantage for the NVIDIA RTX 500 is FP32 compute. At 8.294 TFLOPS, it delivers 2.15 TFLOPS more than the Intel Arc G3's 6.144 TFLOPS. That is a 35% gap in single-precision throughput, which directly affects gaming performance and general compute workloads.

Pixel throughput follows the same pattern. The NVIDIA part renders at 64.80 GPixel/s, which is 16.80 GPixel/s higher than the Intel part's 48.00 GPixel/s. This matters for fill-rate-bound scenes, where the NVIDIA part has a clear edge. Texture throughput shows a 33.6 GTexel/s difference in favor of NVIDIA, meaning texture-heavy workloads will see a measurable performance gap.

The Intel Arc G3 wins decisively in FP16 throughput. At 12.29 TFLOPS using a 2:1 ratio, it exceeds the NVIDIA part's 8.294 TFLOPS at 1:1 by roughly 48%. This is a significant advantage for workloads that can use packed FP16 math, such as certain AI inference tasks and select graphics effects. The NVIDIA part's FP16 runs at the same rate as its FP32, so it offers no packed-mode speedup.

The clock speed advantage favors Intel. The 2400 MHz boost clock is 375 MHz higher than the NVIDIA part's 2025 MHz. This partially compensates for the lower shading unit count in the Intel part. The power envelope also favors Intel: 25 W versus 35 W. The Intel part delivers 6.144 TFLOPS at 25 W, which is 0.246 TFLOPS per watt, versus the NVIDIA part's 0.237 TFLOPS per watt. The Intel part is slightly more efficient in FP32 per watt, despite having less total performance.

In ray tracing, the NVIDIA part has 16 cores versus 10 for Intel. The NVIDIA part also has 64 tensor cores that the Intel part lacks. These resource advantages, combined with the higher shading unit count, give NVIDIA a structural lead in both ray-traced and AI-accelerated workloads. The Intel part's higher clock and lower power draw do not close that gap in raw resource count.

The Verdict

The data points to the NVIDIA RTX 500 Mobile Ada Generation as the stronger GPU for raw performance. It leads in FP32 compute by 35%, in pixel rate by 35%, and in texture rate by 35%. It has 60% more shading units, 60% more TMUs, 60% more ROPs, 60% more ray tracing cores, and the only tensor cores in the comparison. It also has dedicated GDDR6 memory with a fixed 128.0 GB/s bandwidth, whereas the Intel part depends on system shared memory with system-dependent bandwidth. For gaming, ray tracing, and AI-accelerated tasks, the NVIDIA part has a clear specification advantage.

The Intel Arc G3 is the choice for efficiency and FP16 throughput. Its 25 W TDP is 10 W lower than the NVIDIA part's 35 W, and it delivers 12.29 TFLOPS of FP16 performance versus 8.294 TFLOPS for NVIDIA. Its boost clock of 2400 MHz is higher, and its 3 nm process node is more advanced than the 5 nm node used by NVIDIA. For systems where power draw is the primary constraint and FP16 workloads are common, the Intel part offers a better fit.

The NVIDIA part has the advantage of a known, fixed memory subsystem: 4 GB of GDDR6 at 128.0 GB/s. The Intel part's memory performance is system dependent, which introduces variability that cannot be quantified from the database. The NVIDIA part also has a known transistor count and die size, while the Intel part's are unknown.

For users who prioritize raw performance, dedicated memory, and AI acceleration, the NVIDIA RTX 500 Mobile Ada Generation is the stronger option. For users who prioritize lower power consumption, higher boost clocks, and FP16 throughput, the Intel Arc G3 is the better fit. The benchmark database shows no direct head-to-head scores, so these conclusions rest entirely on the architectural specifications and derived throughput figures recorded for each GPU.