Intel Arc G3 vs NVIDIA Jetson Orin Nano Super Comparison

FAQ

Q: What are the core specifications of the Intel Arc G3 and NVIDIA Jetson Orin Nano Super?

A: The Intel Arc G3 uses a Panther Lake chip built on Intel's 3 nm process with Xe3-LPG architecture, while the NVIDIA Jetson Orin Nano Super uses a GA10B chip on Samsung's 8 nm process with Ampere architecture. The Arc G3 has 1280 shading units, 40 TMUs, 20 ROPs, and 10 RT cores, while the Jetson Orin Nano Super has 1024 shading units, 32 TMUs, 16 ROPs, and 32 tensor cores.

Q: How do their memory configurations differ?

A: The Intel Arc G3 uses System Shared memory with a System Dependent bandwidth, meaning it relies on the host system's memory. The NVIDIA Jetson Orin Nano Super has a dedicated 8 GB LPDDR5 memory on a 128 bit bus with 102.4 GB/s bandwidth and 800 MHz 6.4 Gbps effective memory clock.

Q: What are the compute throughput figures for each GPU?

A: The Intel Arc G3 delivers 6.144 TFLOPS FP32 and 12.29 TFLOPS FP16 (2:1), while the NVIDIA Jetson Orin Nano Super delivers 2.089 TFLOPS FP32 and 4.178 TFLOPS FP16 (2:1). The Arc G3 is roughly 2.9 times higher in FP32 and 2.9 times higher in FP16 throughput.

Q: What are the pixel and texture rates for each?

A: The Intel Arc G3 achieves 48.00 GPixel/s pixel rate and 96.00 GTexel/s texture rate. The NVIDIA Jetson Orin Nano Super achieves 16.32 GPixel/s pixel rate and 32.64 GTexel/s texture rate.

Q: What is the physical size of the NVIDIA Jetson Orin Nano Super?

A: The Jetson Orin Nano Super measures 70 mm (2.8 inches) in length and 45 mm (1.8 inches) in height, with a die size of 200 mm².

Q: What API support do both GPUs share?

A: Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Both have a 25 W TDP and use IGP slot width.

The Verdict

The recorded data places both GPUs at the 50th percentile among all GPUs in the database, with no benchmark scores or nearest rivals listed for either. The comparison therefore rests on architectural and specification differences.

The Intel Arc G3 is the stronger raw compute device. Its FP32 throughput of 6.144 TFLOPS is nearly triple the Jetson Orin Nano Super's 2.089 TFLOPS, and its pixel rate of 48.00 GPixel/s is nearly triple the Jetson's 16.32 GPixel/s. Texture rate follows the same pattern: 96.00 GTexel/s versus 32.64 GTexel/s. Any workload that stresses shader throughput, rasterization, or texturing will favor the Arc G3.

The NVIDIA Jetson Orin Nano Super counters with three features the Arc G3 lacks: 32 tensor cores, a dedicated 8 GB LPDDR5 memory pool with 102.4 GB/s bandwidth, and a compact 70 mm by 45 mm board footprint. The tensor cores target AI inference and neural network workloads. The fixed memory means predictable bandwidth regardless of host system configuration, unlike the Arc G3's System Dependent bandwidth. The physical dimensions suit embedded and space-constrained deployments.

The Arc G3 also carries 10 RT cores, giving it hardware ray tracing capability that the Jetson Orin Nano Super does not list. The Arc G3's 3 nm process node from Intel contrasts with the Jetson's 8 nm process from Samsung, which suggests the Arc G3 has a density advantage, though transistor counts are unknown for both.

The Arch G3's release date of 2026-05-31 places it after the Jetson Orin Nano Super's 2024-12-16 release. The Jetson Orin Nano Super has a launch MSRP of 249 USD; the Arc G3 has no recorded launch MSRP.

The verdict: the Intel Arc G3 suits general-purpose graphics, ray tracing, and high-throughput compute tasks. The NVIDIA Jetson Orin Nano Super suits AI inference, embedded systems, and applications requiring a self-contained memory subsystem in a small physical package.

Head-to-Head Benchmarks

The database contains no head-to-head benchmark entries for this pairing, so direct measured performance comparisons are unavailable. The analysis below relies entirely on the recorded specification data.

The largest win for the Intel Arc G3 is FP32 compute. At 6.144 TFLOPS versus 2.089 TFLOPS, the Arc G3 delivers roughly 2.94 times the single-precision throughput. In FP16, the Arc G3's 12.29 TFLOPS compares to 4.178 TFLOPS for the Jetson, again a factor of approximately 2.94. These ratios indicate that for shader-bound and general compute workloads, the Arc G3 has a decisive margin.

Pixel throughput shows a similar gap. The Arc G3's 48.00 GPixel/s is 2.94 times the Jetson's 16.32 GPixel/s. Texture throughput follows the same multiplier: 96.00 GTexel/s versus 32.64 GTexel/s. These consistent ratios across FP32, FP16, pixel, and texture rates indicate the Arc G3's advantage scales uniformly across its execution resources.

The NVIDIA Jetson Orin Nano Super shows its strongest recorded advantages in memory and AI-specific hardware. Its 102.4 GB/s fixed bandwidth on a 128 bit bus is a concrete figure, whereas the Arc G3's bandwidth is listed as System Dependent, meaning it varies with the host platform. The Jetson's 8 GB LPDDR5 is fixed and dedicated, while the Arc G3's memory size and type are System Shared. For workloads that need guaranteed memory bandwidth, the Jetson's figure is verifiable and consistent.

The Jetson also has 32 tensor cores; the Arc G3 lists no tensor cores. This is the only hardware accelerator category where the Jetson has a recorded advantage. The Arc G3 counters with 10 RT cores, which the Jetson does not list at all.

Clock speeds differ in presentation: the Arc G3 has a base of 300 MHz and boost of 2400 MHz, while the Jetson Orin Nano Super has no base or boost clock listed, only its memory clock of 800 MHz 6.4 Gbps effective.

Specification Differences

| Specification | Intel Arc G3 | NVIDIA Jetson Orin Nano Super |

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

| Chip | Panther Lake | GA10B |

| Architecture | Xe3-LPG | Ampere |

| Generation | Arc Graphics-M (Panther Lake) | Tegra (Ampere) |

| Process Node | 3 nm | 8 nm |

| Foundry | Intel | Samsung |

| Die Size | unknown | 200 mm² |

| Base Clock | 300 MHz | null |

| Boost Clock | 2400 MHz | null |

| Memory Clock | System Shared | 800 MHz 6.4 Gbps effective |

| Memory Size | System Shared | 8 GB |

| Memory Type | System Shared | LPDDR5 |

| Memory Bus Width | System Shared | 128 bit |

| Memory Bandwidth | System Dependent | 102.4 GB/s |

| Shading Units | 1280 | 1024 |

| TMUs | 40 | 32 |

| ROPs | 20 | 16 |

| RT Cores | 10 | null |

| Tensor Cores | null | 32 |

| Pixel Rate | 48.00 GPixel/s | 16.32 GPixel/s |

| Texture Rate | 96.00 GTexel/s | 32.64 GTexel/s |

| FP32 | 6.144 TFLOPS | 2.089 TFLOPS |

| FP16 | 12.29 TFLOPS (2:1) | 4.178 TFLOPS (2:1) |

| Power Connectors | None | null |

| Bus Interface | IGP | PCIe 4.0 x4 |

| Dimensions | null | 70 mm length, 45 mm height |

| Release Date | 2026-05-31 | 2024-12-16 |

| Launch MSRP | null | 249 USD |

Both GPUs share a 25 W TDP, IGP slot width, portable-device-dependent display outputs, and identical API support (DirectX 12 Ultimate 12_2, OpenGL 4.6, Vulkan 1.4). Both have unknown transistor counts, null predecessor/successor fields, and active production status.

Architecture Differences

The Intel Arc G3 uses the Xe3-LPG architecture on a 3 nm Intel process. Intel is the foundry. The architecture generation is Arc Graphics-M (Panther Lake), and the chip is Panther Lake. The 3 nm node is the finer process between the two, which typically allows higher transistor density and better power efficiency, though transistor counts are not recorded for either GPU.

The NVIDIA Jetson Orin Nano Super uses the Ampere architecture on Samsung's 8 nm process. The chip is GA10B, and the generation is Tegra (Ampere). The die size is recorded at 200 mm², while the Arc G3's die size is unknown.

Compute resource distribution differs notably. The Arc G3 allocates 1280 shading units, 40 TMUs, 20 ROPs, and 10 RT cores. It has no tensor cores listed. The Jetson Orin Nano Super allocates 1024 shading units, 32 TMUs, 16 ROPs, and 32 tensor cores. It has no RT cores listed.

The presence of RT cores in the Arc G3 indicates hardware support for ray tracing workloads. The presence of tensor cores in the Jetson indicates hardware acceleration for matrix operations common in neural network inference and training.

The Arc G3's memory architecture is System Shared, meaning it uses the host's memory pool. This makes its bandwidth System Dependent, varying with the host memory configuration. The Jetson Orin Nano Super integrates 8 GB of LPDDR5 on a 128 bit bus with a fixed 102.4 GB/s bandwidth. This self-contained memory design is typical for embedded systems-on-module.

Bus interface also differs: the Arc G3 uses IGP (integrated graphics processor) with no power connectors, while the Jetson Orin Nano Super uses PCIe 4.0 x4. The Jetson's physical dimensions are recorded at 70 mm by 45 mm; the Arc G3 has no dimensions listed.

The release timeline shows the Jetson Orin Nano Super launched on 2024-12-16 with a launch MSRP of 249 USD, while the Arc G3 launched later on 2026-05-31 with no launch MSRP recorded.

Where Each One Wins

The Intel Arc G3 wins in raw graphics and compute throughput. Its FP32 of 6.144 TFLOPS and FP16 of 12.29 TFLOPS are approximately 2.94 times the Jetson's figures. Its pixel rate of 48.00 GPixel/s and texture rate of 96.00 GTexel/s are likewise approximately 2.94 times higher. Applications that depend on shader execution, rasterization, or texture sampling will see a substantial performance advantage.

The Arc G3 also wins in ray tracing capability. Its 10 RT cores provide dedicated hardware for ray intersection and traversal, a feature the Jetson Orin Nano Super does not list. Games and rendering applications that use DirectX 12 Ultimate ray tracing features will benefit from this hardware.

The Arc G3's boost clock of 2400 MHz is the only clock speed recorded for either GPU's compute cores, and its 3 nm process node is the finer manufacturing technology. These factors support its higher throughput figures.

The NVIDIA Jetson Orin Nano Super wins in AI and machine learning workloads. Its 32 tensor cores provide dedicated matrix math acceleration that the Arc G3 lacks entirely. For neural network inference, particularly in edge deployments, this hardware is directly relevant.

The Jetson wins in memory determinism. Its fixed 8 GB LPDDR5 with 102.4 GB/s bandwidth is a known quantity, whereas the Arc G3's System Shared memory makes bandwidth dependent on the host platform. Systems where memory performance must be predictable will favor the Jetson.

The Jetson wins in physical footprint and integration. Its recorded dimensions of 70 mm by 45 mm and its PCIe 4.0 x4 interface suit embedded modules and compact carrier boards. The Arc G3 has no dimensions recorded and uses an IGP interface, tying it to a host processor.

For power-constrained scenarios, both GPUs sit at 25 W TDP, so neither has a power advantage in the recorded data.

The choice between the two depends on workload type. Shader-heavy graphics, ray tracing, and general compute favor the Intel Arc G3. AI inference, embedded deployment, and fixed-memory applications favor the NVIDIA Jetson Orin Nano Super. The 50th percentile ranking for both in the database indicates neither is positioned as a top-tier performer, but each addresses a distinct use case with different hardware priorities.