Intel Arc G3 vs NVIDIA RTX 1000 Mobile Ada Generation Comparison

Head-to-Head Benchmarks

The recorded data shows no direct benchmark results between the Intel Arc G3 and the NVIDIA RTX 1000 Mobile Ada Generation. The database contains zero head-to-head benchmark entries, zero wins for either part, and no average benchmark scores for either GPU. Both products sit at the 50th percentile among all GPUs in the database, indicating that neither part has accumulated enough measured performance data to establish a ranking advantage over the other.

Without direct measurement data, the comparison rests entirely on the architectural specifications and theoretical throughput figures recorded in the database. The NVIDIA RTX 1000 Mobile Ada Generation delivers a FP32 compute rating of 10.37 TFLOPS, while the Intel Arc G3 is rated at 6.144 TFLOPS. That places the NVIDIA part approximately 69% ahead in raw FP32 throughput, a substantial margin on paper. The texture rate tells a similar story: 162.0 GTexel/s for the NVIDIA GPU versus 96.00 GTexel/s for the Intel GPU, a 69% advantage. The pixel rate gap is even wider, with the RTX 1000 Mobile Ada Generation reaching 97.20 GPixel/s compared to 48.00 GPixel/s for the Arc G3, roughly double the fill rate.

The RTX 1000 Mobile Ada Generation also holds a clear lead in memory bandwidth. Its dedicated 6 GB GDDR6 memory across a 96-bit bus delivers 192.0 GB/s of bandwidth. The Intel Arc G3 uses system shared memory with bandwidth listed as system dependent, meaning its effective throughput cannot be quantified independently and will vary with the host platform's memory configuration. In any workload sensitive to memory bandwidth, the NVIDIA part has a decisive structural advantage.

The Intel Arc G3 does counter in clock speed. Its boost clock of 2400 MHz exceeds the NVIDIA part's 2025 MHz boost by a meaningful margin, and its base clock of 300 MHz is dramatically lower, reflecting a different power management approach. The Intel part also carries a lower TDP at 25 W versus 35 W for the NVIDIA GPU, which suggests the Arc G3 is positioned for more power-constrained implementations.

Architecture Differences

The two GPUs come from different manufacturers, foundries, and process nodes. The Intel Arc G3 uses the Xe3-LPG architecture on a 3 nm process node fabricated by Intel, and is built on the Panther Lake chip. The NVIDIA RTX 1000 Mobile Ada Generation uses the Ada Lovelace architecture on a 5 nm process node fabricated by TSMC, built on the AD107 chip. The process node difference gives Intel a density advantage on paper, though the database records no transistor count or die size for the Intel part, so the actual transistor density cannot be compared directly. The NVIDIA chip is recorded at 18,900 million transistors on a 159 mm² die, with a transistor density of 118.9M per mm².

Core counts differ substantially. The NVIDIA RTX 1000 Mobile Ada Generation has 2560 shading units, 80 texture mapping units, 48 render output units, 20 ray tracing cores, and 80 tensor cores. The Intel Arc G3 has 1280 shading units, 40 TMUs, 20 ROPs, and 10 ray tracing cores, with no tensor core count recorded in the database. In every compute unit category, the NVIDIA part has exactly double the resources of the Intel part: double the shading units, double the TMUs, double the ROPs, and double the ray tracing cores. The NVIDIA GPU also includes dedicated tensor cores, while the database records none for the Intel part.

Memory architecture is fundamentally different. The Intel Arc G3 uses system shared memory, with no dedicated VRAM, a shared bus width, and system dependent bandwidth. The NVIDIA RTX 1000 Mobile Ada Generation uses 6 GB of GDDR6 memory on a 96-bit bus with 192.0 GB/s of bandwidth. The NVIDIA part's memory clock is recorded as 2000 MHz with 16 Gbps effective speed. The Intel part's memory clock is listed simply as "System Shared."

The NVIDIA GPU interfaces with the host via PCIe 4.0 x8, while the Intel Arc G3 uses an integrated graphics processor (IGP) bus interface with no PCIe connection recorded. Both parts are listed as IGP slot width, meaning neither occupies an expansion slot, and both have no power connectors. The NVIDIA part has a predecessor recorded (Ampere-MW) and a successor (Blackwell-MW), while the Intel part has neither. The Intel Arc G3 is part of the Arc Graphics-M (Panther Lake) generation, and the NVIDIA part belongs to the Ada-MW (x000A) generation.

FP16 throughput differs in ratio as well as magnitude. The Intel Arc G3 achieves 12.29 TFLOPS FP16 with a 2:1 ratio relative to its FP32 rate, meaning it can double its FP32 throughput in FP16 workloads. The NVIDIA RTX 1000 Mobile Ada Generation achieves 10.37 TFLOPS FP16 with a 1:1 ratio, meaning its FP16 throughput matches its FP32 rate exactly. Despite the Intel part's lower FP32 figure, its FP16 rating is actually higher than the NVIDIA part's FP16 rating by approximately 18%. This makes the Intel GPU relatively stronger in FP16-heavy workloads despite its overall lower compute ceiling.

Where Each One Wins

The NVIDIA RTX 1000 Mobile Ada Generation wins on raw compute throughput. Its FP32 rating of 10.37 TFLOPS is roughly 69% higher than the Intel Arc G3's 6.144 TFLOPS. Its texture rate of 162.0 GTexel/s similarly exceeds the Intel part's 96.00 GTexel/s by 69%, and its pixel rate of 97.20 GPixel/s is more than double the Intel part's 48.00 GPixel/s. The NVIDIA GPU also wins decisively on memory, with dedicated 6 GB GDDR6 and 192.0 GB/s bandwidth versus the Intel part's system shared memory with system dependent bandwidth. The NVIDIA part carries double the shading units, TMUs, ROPs, and ray tracing cores, plus 80 tensor cores where the Intel part records none.

The Intel Arc G3 wins on power efficiency and clock speed. Its 25 W TDP is 10 W lower than the NVIDIA part's 35 W TDP, a 29% reduction in power draw on paper. Its boost clock of 2400 MHz is 375 MHz higher than the NVIDIA part's 2025 MHz boost. The Intel part also posts a higher FP16 throughput at 12.29 TFLOPS versus 10.37 TFLOPS for the NVIDIA GPU, a lead of roughly 18% in FP16 compute. The Intel part's 2:1 FP16 ratio indicates its architecture can shift more resources toward half-precision work, while the NVIDIA part's 1:1 ratio keeps FP16 and FP32 on equal footing.

The absence of measured benchmark data means these wins are theoretical rather than confirmed. The database records no average benchmark scores for either GPU, no direct head-to-head results, and no nearest rival entries. Both parts remain at the 50th percentile against all GPUs, a neutral position reflecting the lack of recorded performance data rather than measured equivalence.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA RTX 1000 Mobile Ada Generation, rated at 10.37 TFLOPS FP32, compared to 6.144 TFLOPS for the Intel Arc G3.

Q: Does the Intel Arc G3 have any performance advantage over the NVIDIA part?

A: Yes. The Intel Arc G3 has a higher FP16 rating at 12.29 TFLOPS versus 10.37 TFLOPS for the NVIDIA GPU, and a higher boost clock at 2400 MHz versus 2025 MHz.

Q: How much memory does each GPU have?

A: The NVIDIA RTX 1000 Mobile Ada Generation has 6 GB of GDDR6 memory with 192.0 GB/s bandwidth. The Intel Arc G3 uses system shared memory with system dependent bandwidth.

Q: What process nodes do the two GPUs use?

A: The Intel Arc G3 uses a 3 nm process from Intel. The NVIDIA RTX 1000 Mobile Ada Generation uses a 5 nm process from TSMC.

Q: Which GPU has more ray tracing cores?

A: The NVIDIA RTX 1000 Mobile Ada Generation has 20 ray tracing cores, double the 10 ray tracing cores in the Intel Arc G3.

Q: Do both GPUs support the same graphics APIs?

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

Specification Differences

| Specification | Intel Arc G3 | NVIDIA RTX 1000 Mobile Ada Generation |

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

| Manufacturer | Intel | NVIDIA |

| Chip | Panther Lake | AD107 |

| Architecture | Xe3-LPG | Ada Lovelace |

| Generation | Arc Graphics-M (Panther Lake) | Ada-MW (x000A) |

| Process node | 3 nm | 5 nm |

| Foundry | Intel | TSMC |

| Transistors | Unknown | 18,900 million |

| Die size | Unknown | 159 mm² |

| Transistor density | Not recorded | 118.9M / mm² |

| Base clock | 300 MHz | 1485 MHz |

| Boost clock | 2400 MHz | 2025 MHz |

| Memory clock | System Shared | 2000 MHz, 16 Gbps effective |

| Memory size | System Shared | 6 GB |

| Memory type | System Shared | GDDR6 |

| Memory bus width | System Shared | 96 bit |

| Memory bandwidth | System Dependent | 192.0 GB/s |

| Shading units | 1280 | 2560 |

| TMUs | 40 | 80 |

| ROPs | 20 | 48 |

| Ray tracing cores | 10 | 20 |

| Tensor cores | Not recorded | 80 |

| Pixel rate | 48.00 GPixel/s | 97.20 GPixel/s |

| Texture rate | 96.00 GTexel/s | 162.0 GTexel/s |

| FP32 | 6.144 TFLOPS | 10.37 TFLOPS |

| FP16 | 12.29 TFLOPS (2:1) | 10.37 TFLOPS (1:1) |

| TDP | 25 W | 35 W |

| Bus interface | IGP | PCIe 4.0 x8 |

| Predecessor | Not recorded | Ampere-MW |

| Successor | Not recorded | Blackwell-MW |

| Release date | 2026-05-31 | 2024-02-25 |

The Verdict

The recorded data points to the NVIDIA RTX 1000 Mobile Ada Generation as the higher-performance part on paper. Its FP32 throughput of 10.37 TFLOPS, texture rate of 162.0 GTexel/s, pixel rate of 97.20 GPixel/s, and dedicated 6 GB GDDR6 memory with 192.0 GB/s bandwidth give it substantial advantages in compute, texturing, rasterization, and memory-bound workloads. The doubling of shading units, TMUs, ROPs, and ray tracing cores reinforces this position. The presence of 80 tensor cores, absent from the Intel part's recorded specifications, gives the NVIDIA GPU a dedicated path for tensor-based workloads.

The Intel Arc G3 positions itself differently. Its 25 W TDP, 375 MHz higher boost clock, and FP16 rating of 12.29 TFLOPS indicate a design aimed at power-conscious implementations and half-precision compute. The 3 nm Intel process node and system shared memory architecture point toward an integrated solution rather than a discrete mobile GPU. Its release date of 2026-05-31 places it over two years newer than the NVIDIA part's 2024-02-25 release date, suggesting a more recent design generation despite the lower absolute specifications.

Neither GPU has recorded benchmark scores, direct head-to-head results, or nearest rival entries in the database. The comparison is therefore entirely specification-based. Users prioritizing raw compute, memory bandwidth, and dedicated VRAM should select the NVIDIA RTX 1000 Mobile Ada Generation based on the recorded data. Users prioritizing lower power draw, higher boost clocks, and FP16 throughput should select the Intel Arc G3. The choice depends on whether the workload favors the NVIDIA part's doubled resource counts and dedicated memory or the Intel part's lower TDP and higher half-precision rating.