Intel Arc G3 vs NVIDIA GeForce RTX 4090 D Comparison

The Intel Arc G3 and NVIDIA GeForce RTX 4090 D represent opposite extremes in the GPU landscape. The Arc G3 is an integrated graphics processor designed for mobility and efficiency, while the RTX 4090 D is a discrete, triple-slot add-in board built for maximum throughput. The recorded data shows a stark performance divide, with the RTX 4090 D holding the 98th percentile in the database and the Arc G3 sitting at the 50th percentile. The RTX 4090 D delivers 73.54 TFLOPS of FP32 compute and a pixel rate of 443.5 GPixel/s, figures that dwarf the Arc G3’s 6.144 TFLOPS and 48.00 GPixel/s. The choice between them is not a question of which is better, but which is appropriate for the intended workload.

The Verdict

The data indicates that the NVIDIA GeForce RTX 4090 D is for users who need uncompromised rendering power, AI acceleration, and high-resolution gaming. It carries a 24 GB GDDR6X memory pool on a 384-bit bus, delivering 1.01 TB/s of bandwidth. Its benchmark scores are decisive: 8,587 in 3DMark Steel Nomad DX12, 278,621 in Geekbench OpenCL, and 246,941 in Geekbench Vulkan. These results place it in the 98th percentile of all GPUs in the database, with an average benchmark score of 178,050. It is an end-of-life product with a launch MSRP of 1,599 USD, and its closest rivals in the database are the NVIDIA RTX PRO 5000 Blackwell, A100 SXM4 80 GB, RTX 5000 Ada Generation, and A100 SXM4 40 GB, trailing them by 2.2%, 3.1%, 3.6%, and 4.9% respectively.

The Intel Arc G3 is for portable systems where power draw and physical footprint are the primary constraints. It is an IGP with a 25 W TDP, no power connectors, and no slot width, making it a built-in component rather than a discrete card. Its shading units, 1,280, are less than one-tenth of the RTX 4090 D’s 14,592. The Arc G3 has no recorded benchmark scores in the database, and its average score is zero. The data shows it is designed to provide basic graphics capability for a Panther Lake processor, not to compete with high-end discrete accelerators. Users who require the RTX 4090 D’s capabilities should select it, while those who need a low-power integrated solution should rely on the Arc G3.

Where Each One Wins

The RTX 4090 D wins in every recorded performance metric. Its texture rate of 1,149.1 GTexel/s is nearly twelve times the Arc G3’s 96.00 GTexel/s. Its FP32 throughput, 73.54 TFLOPS, is approximately twelve times the Arc G3’s 6.144 TFLOPS. The RTX 4090 D also has dedicated tensor cores, 456 of them, which the Arc G3 lacks entirely, a critical advantage for machine learning workloads. The Ada Lovelace architecture also includes 114 RT cores versus the Arc G3’s 10 RT cores, making the NVIDIA part substantially more capable in ray-traced scenes.

The Arc G3 wins in power efficiency and physical integration. Its 25 W TDP is a fraction of the RTX 4090 D’s 425 W TDP. The Arc G3 requires no power connectors and no suggested PSU, while the RTX 4090 D needs a 1x 16-pin connector and an 800 W suggested PSU. The Arc G3’s dimensions are not listed because it is an IGP; the RTX 4090 D occupies 304 mm in length, 137 mm in height, and 61 mm in width, requiring a triple-slot case. For a portable device, the Arc G3 is the only viable option. For a desktop workstation with adequate cooling and power delivery, the RTX 4090 D is the clear choice. The data shows no benchmark overlap where the Arc G3 takes a win; its advantage is purely in system-level constraints.

Architecture Differences

The two GPUs are built on fundamentally different process nodes and architectures. The Intel Arc G3 uses a 3 nm process at Intel’s foundry, while the NVIDIA GeForce RTX 4090 D uses a 5 nm process at TSMC. The Arc G3 is based on the Xe3-LPG architecture, part of the Arc Graphics-M generation for Panther Lake. The RTX 4090 D uses the Ada Lovelace architecture with the AD102 chip. The transistor counts are not comparable from the data: the Arc G3’s transistor count is listed as unknown, while the RTX 4090 D has 76,300 million transistors on a 609 mm² die, giving a density of 125.3M per mm².

Memory architecture is another major divergence. The Arc G3 uses system shared memory, meaning its memory size, type, and bus width are all system dependent, with bandwidth also system dependent. The RTX 4090 D has dedicated 24 GB of GDDR6X on a 384-bit bus, achieving 1.01 TB/s of bandwidth. The NVIDIA part’s memory clock is 1313 MHz, translating to 21 Gbps effective. The Arc G3’s clock behavior is also distinct: a base clock of 300 MHz and a boost clock of 2400 MHz, versus the RTX 4090 D’s base of 2280 MHz and boost of 2520 MHz.

Feature sets differ as well. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The RTX 4090 D has 456 tensor cores and 114 RT cores, while the Arc G3 has no tensor cores and 10 RT cores. The Arc G3’s FP16 performance is 12.29 TFLOPS with a 2:1 ratio, while the RTX 4090 D’s FP16 is 73.54 TFLOPS with a 1:1 ratio, indicating the NVIDIA part does not halve its throughput for half-precision work. The RTX 4090 D also has a PCIe 4.0 x16 interface and display outputs including 1x HDMI 2.1 and 3x DisplayPort 1.4a, while the Arc G3 uses an IGP bus interface and portable device dependent display outputs.

FAQ

Q: Which GPU has a higher benchmark percentile in the database?

A: The NVIDIA GeForce RTX 4090 D sits in the 98th percentile of all GPUs, while the Intel Arc G3 sits in the 50th percentile.

Q: What is the power consumption difference between the two?

A: The Arc G3 has a 25 W TDP and requires no power connectors, while the RTX 4090 D has a 425 W TDP and requires a 1x 16-pin power connector with an 800 W suggested PSU.

Q: How much memory does each GPU have?

A: The RTX 4090 D has 24 GB of GDDR6X on a 384-bit bus. The Arc G3 has no dedicated memory; it uses system shared memory, with size, type, and bandwidth all system dependent.

Q: Does the Arc G3 have tensor cores?

A: No, the Arc G3 has no tensor cores. The RTX 4090 D has 456 tensor cores.

Q: What are the RT core counts?

A: The Arc G3 has 10 RT cores, while the RTX 4090 D has 114 RT cores.

Q: Which GPU is currently in production?

A: The Intel Arc G3 is listed as active in production, while the NVIDIA GeForce RTX 4090 D is listed as end-of-life.

Head-to-Head Benchmarks

The head-to-head benchmark table is empty in the recorded data, but the individual benchmark scores for the RTX 4090 D provide a clear picture. In 3DMark Steel Nomad DX12, the RTX 4090 D scores 8,587. The Arc G3 has no recorded score for this test, and its average benchmark score is zero. The RTX 4090 D’s Geekbench OpenCL score of 278,621 and Vulkan score of 246,941 are the only recorded performance metrics in the database for either product. The Arc G3 has no benchmarks at all, meaning no direct comparison can be made from the data.

The nearest rivals for the RTX 4090 D give context to its performance. The NVIDIA RTX PRO 5000 Blackwell has an average score of 182,109, which is 2.2% ahead of the RTX 4090 D’s 178,050 average. The A100 SXM4 80 GB is 3.1% ahead with 183,725. The RTX 5000 Ada Generation is 3.6% ahead with 184,664. The A100 SXM4 40 GB is 4.9% ahead with 187,147. This indicates the RTX 4090 D, while powerful, is not the absolute top of the database, trailing these four accelerators by small margins. The Arc G3’s percentile of 50 places it in the middle of the database, but with no benchmark scores, its relative standing is based on its specifications alone, not measured results.

The FP32 compute difference is the most telling: the RTX 4090 D’s 73.54 TFLOPS is exactly 12 times the Arc G3’s 6.144 TFLOPS. The pixel rate follows a similar pattern, with the RTX 4090 D’s 443.5 GPixel/s being about 9.2 times the Arc G3’s 48.00 GPixel/s. The texture rate gap is smaller but still substantial, with the RTX 4090 D’s 1,149.1 GTexel/s versus the Arc G3’s 96.00 GTexel/s, a factor of roughly 12. These ratios are consistent across the board, confirming that the RTX 4090 D is designed for a completely different performance class. The Arc G3’s boost clock of 2400 MHz is within 120 MHz of the RTX 4090 D’s 2520 MHz boost, but the architectural and hardware resource differences make the clock similarity irrelevant to actual performance. The data shows a decisive victory for the NVIDIA part in every measurable aspect of GPU throughput.