Intel Arc G3 vs NVIDIA GeForce RTX 4070 Mobile Comparison

Intel Arc G3 and NVIDIA GeForce RTX 4070 Mobile represent two entirely different approaches to mobile graphics, and the recorded data shows that the selection between them depends almost entirely on the workload and the power envelope of the host system. The Arc G3 is a 25 W integrated-class part built for Panther Lake laptops, while the RTX 4070 Mobile is a 115 W discrete GPU from the GeForce 40-series. The benchmark database contains no direct head-to-head results for these two GPUs, and the Arc G3 has no recorded benchmark scores or rival comparisons. The RTX 4070 Mobile, by contrast, has a full suite of measurements. The analysis below relies strictly on the recorded specifications and the benchmark data available for the RTX 4070 Mobile, using its nearest rivals to contextualize its performance tier.

Where Each One Wins

The Arc G3 wins on power efficiency and integration. Its 25 W TDP is a fraction of the RTX 4070 Mobile's 115 W TDP, and it uses system-shared memory rather than dedicated VRAM. This makes it suitable for thin, fanless, or low-power portable devices where the GPU must share thermal and electrical budgets with the CPU. Its base clock of 300 MHz and boost clock of 2400 MHz indicate a design tuned for bursty, short-duration workloads rather than sustained high-throughput rendering. The Arc G3 has no benchmark scores in the database, so its absolute performance cannot be quantified here, but its specification profile points to a part intended for everyday graphics, media acceleration, and light gaming at modest settings.

The RTX 4070 Mobile wins on raw performance and feature throughput. Its recorded scores include a Geekbench OpenCL result of 109197, a Geekbench Vulkan result of 108367, a Passmark G3D score of 19587, and a Passmark GPU Compute score of 8399. These numbers place it in the 73rd percentile of all GPUs in the database, which is a strong showing for a mobile part. It also delivers 15.62 TFLOPS of FP32 performance, 15.62 TFLOPS of FP16 performance at a 1:1 ratio, and a texture rate of 244.1 GTexel/s. The Arc G3, in comparison, delivers 6.144 TFLOPS of FP32 and 12.29 TFLOPS of FP16 at a 2:1 ratio, with a texture rate of 96.00 GTexel/s. In every measured compute and rendering metric, the RTX 4070 Mobile holds a decisive advantage.

The use-case split is therefore clear. The Arc G3 wins in scenarios where power draw and physical footprint matter more than frame rates, such as ultraportable laptops with integrated graphics. The RTX 4070 Mobile wins in gaming laptops and mobile workstations where the chassis can dissipate 115 W and the user needs high frame rates, ray tracing, and dedicated VRAM. The data shows no scenario where the Arc G3 outpaces the RTX 4070 Mobile in raw throughput; its advantages are entirely in the power and integration domains.

Architecture Differences

The two GPUs come from different manufacturers, process nodes, and architectural generations. The Arc G3 is built by Intel on a 3 nm process using the Xe3-LPG architecture, part of the Arc Graphics-M (Panther Lake) generation. The RTX 4070 Mobile is built by NVIDIA on a 5 nm process at TSMC using the Ada Lovelace architecture, part of the GeForce 40 Mobile generation. The process node difference gives the Arc G3 a manufacturing advantage in transistor density potential, though Intel has not disclosed the transistor count or die size for the Arc G3. The RTX 4070 Mobile has 22,900 million transistors on a 188 mm² die, yielding a transistor density of 121.8M per mm².

The shading engine configurations differ substantially. The Arc G3 has 1280 shading units, 40 texture mapping units, 20 render output units, and 10 ray tracing cores. The RTX 4070 Mobile has 4608 shading units, 144 texture mapping units, 48 render output units, 36 ray tracing cores, and 144 tensor cores. The RTX 4070 Mobile also has dedicated tensor cores, which the Arc G3 lacks entirely in the recorded specifications. This gives the NVIDIA part a clear advantage in AI-accelerated workloads such as DLSS and machine learning inference. The Arc G3 has no tensor core field in the database, indicating that any AI acceleration would rely on other hardware paths.

Memory architecture is another major divider. The Arc G3 uses system-shared memory, with its size, type, bus width, and bandwidth all listed as system-dependent. The RTX 4070 Mobile has 8 GB of dedicated GDDR6 memory on a 128-bit bus, delivering 256.0 GB/s of bandwidth. The memory clock is 2000 MHz with 16 Gbps effective data rate. This dedicated, high-bandwidth memory is essential for the RTX 4070 Mobile's higher pixel rate of 81.36 GPixel/s and texture rate of 244.1 GTexel/s. The Arc G3's pixel rate is 48.00 GPixel/s, which is lower than the RTX 4070 Mobile's, and its memory bandwidth is entirely dependent on the host system's RAM configuration.

Clock behavior also differs. The Arc G3 has a base clock of 300 MHz and a boost clock of 2400 MHz, a wide ratio that suggests aggressive power management and the ability to ramp up for short bursts. The RTX 4070 Mobile has a base clock of 1395 MHz and a boost clock of 1695 MHz, a much tighter range that reflects a design running closer to its sustained limit under a 115 W power budget. The API support is identical on paper: both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Both also use a portable device dependent display output configuration and have no power connectors, as they are integrated into the host system.

Head-to-Head Benchmarks

The database contains no head-to-head benchmark entries between the Arc G3 and the RTX 4070 Mobile, and the Arc G3 has no standalone benchmark scores. Consequently, direct numerical comparison is impossible from the recorded data. However, the RTX 4070 Mobile's benchmark suite provides a clear performance anchor. Its Geekbench OpenCL score of 109197 and Geekbench Vulkan score of 108367 indicate strong general compute and graphics API performance. Its Passmark G3D score of 19587 and Passmark GPU Compute score of 8399 reinforce this position.

The RTX 4070 Mobile's nearest rivals in the database place its performance in context. The AMD Radeon RX 6700 XT has an average score of 27425, which is 0% different from the RTX 4070 Mobile's average of 27435. The NVIDIA GeForce RTX 3090 scores 27565, putting the RTX 4070 Mobile 0.5% behind it. The NVIDIA RTX PRO 4000 Blackwell scores 27135, putting the RTX 4070 Mobile 1.1% ahead of it. The AMD Radeon Pro Vega 20 scores 27839, putting the RTX 4070 Mobile 1.5% behind it. These delta values show that the RTX 4070 Mobile sits in a tight performance band, trading places with desktop-class GPUs from previous generations.

For the Arc G3, the specification-derived numbers provide the only quantitative reference. The Arc G3's FP32 throughput of 6.144 TFLOPS is roughly 39% of the RTX 4070 Mobile's 15.62 TFLOPS. Its FP16 throughput of 12.29 TFLOPS is roughly 79% of the RTX 4070 Mobile's 15.62 TFLOPS, though the Arc G3 achieves that via a 2:1 ratio while the RTX 4070 Mobile uses a 1:1 ratio. The Arc G3's texture rate of 96.00 GTexel/s is roughly 39% of the RTX 4070 Mobile's 244.1 GTexel/s, and its pixel rate of 48.00 GPixel/s is roughly 59% of the RTX 4070 Mobile's 81.36 GPixel/s. These figures confirm a large performance gap in every throughput category.

The RTX 4070 Mobile's Passmark DirectX scores show API-level performance variation: 116 in DirectX 10, 179 in DirectX 11, 85 in DirectX 12, and 223 in DirectX 9. The DirectX 12 score being lower than the DirectX 9 score is notable, but the overall G3D score of 19587 indicates that the GPU handles modern workloads well. The Arc G3 has no comparable recorded scores, so no API-level comparison is possible.

FAQ

Q: Which GPU has higher raw compute performance?

A: The RTX 4070 Mobile. It delivers 15.62 TFLOPS of FP32 and 15.62 TFLOPS of FP16 at a 1:1 ratio, while the Arc G3 delivers 6.144 TFLOPS of FP32 and 12.29 TFLOPS of FP16 at a 2:1 ratio.

Q: How does the memory configuration differ?

A: The Arc G3 uses system-shared memory with no dedicated VRAM, while the RTX 4070 Mobile has 8 GB of GDDR6 on a 128-bit bus with 256.0 GB/s bandwidth.

Q: What is the power consumption difference?

A: The Arc G3 has a 25 W TDP, while the RTX 4070 Mobile has a 115 W TDP.

Q: Does the Arc G3 support ray tracing?

A: Yes, it has 10 ray tracing cores. The RTX 4070 Mobile has 36 ray tracing cores.

Q: What is the process node for each GPU?

A: The Arc G3 uses a 3 nm process from Intel, while the RTX 4070 Mobile uses a 5 nm process from TSMC.

Q: How does the RTX 4070 Mobile compare to its nearest rivals?

A: Its average benchmark score of 27435 is 0% different from the AMD Radeon RX 6700 XT, 0.5% behind the NVIDIA GeForce RTX 3090, 1.1% ahead of the NVIDIA RTX PRO 4000 Blackwell, and 1.5% behind the AMD Radeon Pro Vega 20.

The Verdict

The recorded data supports a straightforward selection criterion. The RTX 4070 Mobile is the performance choice by a wide margin in every measurable metric, including FP32 throughput, FP16 throughput, texture rate, pixel rate, shading units, texture mapping units, render output units, and ray tracing cores. Its 73rd percentile ranking among all GPUs, supported by an average benchmark score of 27435, places it in the same performance band as desktop GPUs like the RTX 3090 and the RX 6700 XT. It also has dedicated tensor cores and 8 GB of GDDR6 memory, which the Arc G3 lacks.

The Arc G3 is the efficiency choice. Its 25 W TDP, 3 nm process node, and system-shared memory make it suitable for low-power integrated systems where a discrete GPU cannot fit. Its 50th percentile ranking among all GPUs, combined with zero recorded benchmark scores, indicates that it occupies a mid-tier position without verified performance data in the database. Its higher boost clock of 2400 MHz relative to its base clock of 300 MHz suggests a design that ramps aggressively under load but cannot sustain the throughput of a 115 W discrete part.

Users who need high frame rates, ray tracing, AI acceleration, and dedicated memory should select the RTX 4070 Mobile. Users who prioritize battery life, thin chassis design, and minimal power draw should select the Arc G3. The data does not support any other conclusion.