Intel Arc G3 Extreme vs NVIDIA RTX 4000 Mobile Ada Generation Comparison

Head-to-Head Benchmarks

The database records no direct head-to-head benchmark results for the Intel Arc G3 Extreme and the NVIDIA RTX 4000 Mobile Ada Generation. With zero wins recorded for either part in the headToHeadBenchmarks field, the comparison must be built from the architectural and specification data available for each product. The Intel part sits at the 50th percentile among all GPUs, and the NVIDIA part also sits at the 50th percentile, which indicates that neither has accumulated a distinguishing performance record in the database at this time. The raw compute figures, however, tell a more decisive story than the empty benchmark ledger. The NVIDIA GPU delivers 24.72 TFLOPS of FP32 throughput, while the Intel GPU delivers 7.680 TFLOPS, making the NVIDIA part 3.22 times higher in raw single-precision compute. The pixel throughput gap is similarly lopsided: NVIDIA reaches 133.2 GPixel/s against Intel's 60.00 GPixel/s, a 2.22 times advantage. Texture rate favors NVIDIA by an even wider margin, with 386.3 GTexel/s versus 120.0 GTexel/s, a 3.22 times difference that mirrors the FP32 ratio.

The FP16 comparison is where the architectures diverge sharply in character. The NVIDIA part runs FP16 at 24.72 TFLOPS with a 1:1 ratio to FP32, meaning there is no rate advantage for reduced-precision workloads. The Intel part reaches 15.36 TFLOPS FP16 using a 2:1 ratio, doubling its FP32 rate. Even with that doubling, the NVIDIA GPU still leads by a factor of 1.61 in raw FP16 throughput. The memory subsystem reinforces the NVIDIA lead. The RTX 4000 Mobile Ada Generation uses 12 GB of GDDR6 on a 192-bit bus, delivering 432.0 GB/s of bandwidth. The Intel Arc G3 Extreme shares system memory, with bandwidth listed as system dependent and a bus width of system shared, so no fixed bandwidth figure can be compared directly. The absence of dedicated VRAM on the Intel part places it at a structural disadvantage in any memory-bandwidth-bound scenario, though the exact magnitude depends on the host platform's memory configuration.

Clock behavior differs as well. The Intel GPU has a base clock of 300 MHz and a boost clock of 2500 MHz, a wide range that suggests aggressive power scaling. The NVIDIA GPU runs a base clock of 1290 MHz and a boost of 1665 MHz, a much narrower range. The NVIDIA part's higher base clock means it sustains more performance at idle-to-moderate loads, while the Intel part's high boost ceiling only matters when the integrated design can sustain it within its 80 W envelope. The NVIDIA GPU's 110 W TDP is 30 W higher, a 37.5% increase over the Intel part, which reflects the power cost of its larger compute and memory resources.

Architecture Differences

The two GPUs come from different foundries and process nodes. Intel builds the Arc G3 Extreme on a 3 nm process at Intel, using the Panther Lake chip with the Xe3-LPG architecture, part of the Arc Graphics-M (Panther Lake) generation. NVIDIA builds the RTX 4000 Mobile Ada Generation on a 5 nm process at TSMC, using the AD104 chip with the Ada Lovelace architecture, part of the Ada-MW generation. The Intel node is smaller by process name, but the NVIDIA part compensates with a much larger physical implementation. The NVIDIA chip contains 35,800 million transistors on a 294 mm² die, giving a transistor density of 121.8 million transistors per square millimeter. The Intel chip's transistor count and die size are listed as unknown in the database, so no density comparison is possible. The Intel GPU is an integrated graphics processor (IGP) with no slot width, no power connectors, and an IGP bus interface. The NVIDIA GPU is also listed with IGP slot width and no power connectors, but it uses a PCIe 4.0 x16 bus interface, which indicates it is a discrete-class mobile part connected through the standard PCIe link rather than living on the CPU package.

The execution resource counts differ substantially. The NVIDIA GPU has 7,424 shading units, 232 texture mapping units, 80 raster operation units, 58 ray tracing cores, and 232 tensor cores. The Intel GPU has 1,536 shading units, 48 TMUs, 24 ROPs, and 12 ray tracing cores, with tensor cores listed as null, meaning no tensor core count is recorded. The NVIDIA part has 4.83 times the shading units, 4.83 times the TMUs, 3.33 times the ROPs, and 4.83 times the ray tracing cores compared to Intel. The NVIDIA GPU's 232 tensor cores provide dedicated AI acceleration hardware, while the Intel part has no recorded tensor core array, so any AI-related workloads on the Intel GPU would rely on its general-purpose shader units.

Memory architecture is the most fundamental divergence. The Intel Arc G3 Extreme uses system shared memory for both capacity and type, with no fixed bus width and bandwidth that varies with the host system. The NVIDIA RTX 4000 Mobile Ada Generation has a dedicated 12 GB GDDR6 frame buffer on a 192-bit bus with 432.0 GB/s of bandwidth. The memory clock is listed at 2250 MHz with 18 Gbps effective data rate for the NVIDIA part, while the Intel part's memory clock is simply marked as system shared. The API support is identical on paper: both parts support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Both are listed as active production parts in the database. The NVIDIA GPU was released in 2023 and has a recorded predecessor in Ampere-MW and a successor in Blackwell-MW. The Intel part has no predecessor or successor listed in the database.

Where Each One Wins

The NVIDIA RTX 4000 Mobile Ada Generation wins every quantitative comparison in the database. It leads in FP32 compute by 3.22 times, in pixel rate by 2.22 times, in texture rate by 3.22 times, in FP16 compute by 1.61 times, and in every execution resource category from shading units to ray tracing cores. It has a dedicated 12 GB GDDR6 frame buffer with 432.0 GB/s of bandwidth, while the Intel part depends on system memory with no fixed bandwidth figure. The NVIDIA GPU's 110 W TDP and PCIe 4.0 x16 interface position it as a higher-power, higher-performance discrete mobile solution. Its 232 tensor cores give it a hardware path for AI acceleration that the Intel part lacks entirely.

The Intel Arc G3 Extreme wins the power efficiency comparison in absolute terms. Its 80 W TDP is 30 W lower than the NVIDIA part's 110 W, a 27.3% reduction in power draw. It also has a significantly higher boost clock at 2500 MHz versus 1665 MHz, which indicates a design tuned to reach high frequencies in short bursts. The Intel part's system shared memory means no dedicated VRAM allocation is required, which can reduce overall system cost and complexity in integrated designs. Its 3 nm process node is smaller than NVIDIA's 5 nm node, which suggests a denser logic process, though the lack of transistor count and die size data for the Intel chip prevents a full density comparison.

For use cases, the data splits cleanly. The NVIDIA GPU suits workloads that demand sustained high throughput: FP32-heavy rendering, high pixel fill rates, texture-bound scenes, and ray-traced content where its 58 RT cores and 232 tensor cores provide dedicated hardware. The Intel GPU suits power-constrained integrated systems where the 80 W TDP and system shared memory keep the design simple, and where the 2:1 FP16 ratio offers a modest boost for reduced-precision workloads. The Intel part's 12 RT cores provide some ray tracing capability, but the 4.83 times advantage in RT core count for NVIDIA suggests a large gap in ray-traced performance.

FAQ

Q: How many times faster is the NVIDIA RTX 4000 Mobile Ada Generation in FP32 compute compared to the Intel Arc G3 Extreme?

A: The NVIDIA GPU delivers 24.72 TFLOPS FP32, while the Intel GPU delivers 7.680 TFLOPS, making the NVIDIA part 3.22 times faster in raw single-precision throughput.

Q: What memory configurations do the two GPUs use?

A: The NVIDIA RTX 4000 Mobile Ada Generation uses 12 GB of GDDR6 on a 192-bit bus with 432.0 GB/s bandwidth. The Intel Arc G3 Extreme uses system shared memory for capacity, type, and bus width, with bandwidth listed as system dependent.

Q: Which GPU has more ray tracing cores and by how much?

A: The NVIDIA GPU has 58 ray tracing cores, while the Intel GPU has 12, giving NVIDIA a 4.83 times advantage in RT core count.

Q: What is the power draw difference between the two parts?

A: The NVIDIA GPU has a 110 W TDP, and the Intel GPU has an 80 W TDP, so the NVIDIA part draws 30 W more, a 37.5% increase over the Intel part.

Q: Do both GPUs support the same graphics APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: Does the Intel Arc G3 Extreme have tensor cores?

A: The database lists tensor cores as null for the Intel part. The NVIDIA GPU has 232 tensor cores.

The Verdict

The recorded data shows a decisive performance hierarchy. The NVIDIA RTX 4000 Mobile Ada Generation leads in every measurable compute, memory, and feature category. Its 24.72 TFLOPS FP32, 432.0 GB/s dedicated bandwidth, 7,424 shading units, 58 RT cores, and 232 tensor cores make it the stronger part for any workload that fits within its 110 W envelope. The Intel Arc G3 Extreme cannot match those figures in any category where a direct number exists. Its 7.680 TFLOPS FP32, 60.00 GPixel/s pixel rate, and 120.0 GTexel/s texture rate are all roughly one-third to under half of the NVIDIA part's corresponding values.

The Intel part's advantages are limited to integration-level characteristics. Its 80 W TDP is lower, its 2500 MHz boost clock is higher, its 3 nm process node is smaller, and its system shared memory removes the need for dedicated VRAM. These traits suit a compact, power-conscious integrated design, but they do not translate into a compute win in any benchmark category recorded in the database. The NVIDIA GPU also carries a later architecture generation designation with a recorded successor, Blackwell-MW, while the Intel part has no successor listed.

For buyers who need maximum mobile graphics performance, the data points entirely to the NVIDIA RTX 4000 Mobile Ada Generation. For systems where the 30 W power difference and integrated memory model matter more than raw throughput, the Intel Arc G3 Extreme is the only part of the two that fits that profile. The percentile ranking of both parts sits at 50, and the benchmark score for both is 0 in the database, so no sampled performance data exists to refine this comparison further. Based on the specification data alone, the NVIDIA part is the higher-performing mobile GPU by every recorded metric.