Intel Arc Pro B70 vs NVIDIA GeForce RTX 4090 Max-Q Comparison
Intel Arc Pro B70
GeForce RTX 4090 Max-Q
Analysis: Intel Arc Pro B70 vs NVIDIA GeForce RTX 4090 Max-Q
# Where Each One Wins
The Intel Arc Pro B70 and NVIDIA GeForce RTX 4090 Max-Q occupy distinctly different positions in the mobile and workstation graphics landscape. The recorded data shows a clear division of strengths based on workload characteristics, memory capacity, and power envelope.
The Intel Arc Pro B70 targets professional compute and content creation workloads that demand large memory pools. Its 32 GB GDDR6 configuration doubles the 16 GB of the RTX 4090 Max-Q, making it the clear choice for datasets, rendering scenes, and AI inference tasks that exceed 16 GB capacity. The Arc Pro B70 also delivers substantially higher pixel throughput at 358.4 GPixel/s versus 163.0 GPixel/s for the NVIDIA part, indicating a decisive advantage in fill-rate-bound scenarios such as high-resolution rasterization, multisample anti-aliasing, and compositing operations.
The RTX 4090 Max-Q, by contrast, wins in raw compute throughput and feature density. Its FP32 performance of 28.31 TFLOPS surpasses the Arc Pro B70's 22.94 TFLOPS by roughly 23%. The NVIDIA chip also carries 9,728 shading units, 304 texture mapping units, 76 ray tracing cores, and 304 tensor cores, versus 4,096 shading units, 256 TMUs, 32 RT cores, and no dedicated tensor core count listed for the Intel part. This hardware advantage translates to wins in general-purpose shader workloads, ray-traced scenes, and any application that leverages NVIDIA's tensor core ecosystem for deep learning acceleration.
The power envelope separates these products further. The RTX 4090 Max-Q operates at 80 W TDP, while the Arc Pro B70 draws 230 W. This nearly threefold difference in power consumption means the NVIDIA part fits into thin-and-light mobile platforms, whereas the Intel card requires a dual-slot cooling solution with a single 8-pin power connector. For battery-constrained or thermally limited environments, the RTX 4090 Max-Q holds the advantage. For performance-per-watt in compute-heavy tasks, the data suggests the Arc Pro B70's higher absolute performance in certain metrics comes at a significant power cost.
# Architecture Differences
The two GPUs derive from fundamentally different architectures and design philosophies. The Intel Arc Pro B70 uses the BMG-G31 chip built on the Xe2-HPG architecture, part of the Battlemage (Pro Series) generation. It is fabricated on a 5 nm process at TSMC with a die size of 368 mm². The NVIDIA GeForce RTX 4090 Max-Q uses the AD103 chip based on Ada Lovelace architecture, belonging to the GeForce 40 Mobile generation. This die measures 379 mm² on the same 5 nm TSMC process node, and the database records 45,900 million transistors, resulting in a transistor density of 121.1 million transistors per mm². Intel's transistor count is listed as unknown.
Clock behavior differs substantially. The Arc Pro B70 runs at a base clock of 2280 MHz and boosts to 2800 MHz. The RTX 4090 Max-Q operates at a much lower 930 MHz base and 1455 MHz boost, reflecting its power-constrained mobile design. Despite lower clocks, the NVIDIA chip achieves higher FP32 throughput due to its larger shader array.
Memory architecture shows both similarities and contrasts. Both GPUs use a 256-bit memory bus and GDDR6 memory. The Arc Pro B70 pairs this bus with 32 GB of memory at 2375 MHz (19 Gbps effective), yielding 608.0 GB/s of bandwidth. The RTX 4090 Max-Q uses 16 GB at 2250 MHz (18 Gbps effective), producing 576.0 GB/s. The Intel card therefore offers both double the capacity and roughly 5.6% more bandwidth.
Feature sets differ in ray tracing and tensor capabilities. The Arc Pro B70 includes 32 ray tracing cores, while the RTX 4090 Max-Q includes 76 RT cores. NVIDIA also lists 304 tensor cores, whereas Intel's tensor core count is not recorded in the database. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical.
Physical design and interface also diverge. The Arc Pro B70 is a dual-slot, 267 mm long, 110 mm tall, and 39 mm wide card using PCIe 5.0 x16, with display outputs of 1x HDMI 2.1a and 3x DisplayPort 2.1. The RTX 4090 Max-Q is an integrated graphics package (IGP) with no dedicated power connectors, portable-device-dependent display outputs, and PCIe 4.0 x16. The Intel card requires a 550 W suggested power supply; NVIDIA does not list a suggested PSU.
# Head-to-Head Benchmarks
The database contains no measured head-to-head benchmark entries for these two GPUs, and both have zero average benchmark scores and zero wins in direct comparison testing. The percentile rank for both is 50 relative to all GPUs, indicating they occupy similar overall positions in the performance distribution, though this metric does not capture workload-specific behavior.
Given the absence of direct benchmark data, the analysis must rely on the recorded specifications to infer relative performance. The most significant gap appears in FP32 compute. The RTX 4090 Max-Q delivers 28.31 TFLOPS versus 22.94 TFLOPS for the Arc Pro B70, a difference of 5.37 TFLOPS or approximately 23.4% in favor of NVIDIA. This suggests the NVIDIA part will complete general-purpose shader workloads, physics simulations, and non-tensor compute tasks faster.
FP16 performance presents a more complex picture. The Arc Pro B70 achieves 45.88 TFLOPS in FP16 with a 2:1 ratio relative to FP32, effectively doubling its throughput. The RTX 4090 Max-Q achieves 28.31 TFLOPS in FP16 with a 1:1 ratio, meaning no throughput gain over FP32. For workloads that can use FP16 arithmetic, the Intel card offers 62% higher peak FP16 throughput. This could translate to advantages in AI inference, certain rendering pipelines, and scientific computing that tolerate reduced precision.
Texture and pixel rates favor Intel. The Arc Pro B70 processes 716.8 GTexel/s versus 442.3 GTexel/s for the RTX 4090 Max-Q, a 62% advantage in texture fill rate. Pixel rate shows an even larger gap: 358.4 GPixel/s versus 163.0 GPixel/s, a 120% advantage for Intel. These metrics indicate the Arc Pro B70 excels in rasterization-heavy scenes, high-resolution rendering, and any workload limited by texture sampling or pixel output.
Memory bandwidth slightly favors Intel at 608.0 GB/s versus 576.0 GB/s, a 5.6% difference. Combined with double the capacity, the Intel card holds a clear memory advantage for large working sets.
Clock speeds tell a power story. The Arc Pro B70 runs at 2280 MHz base and 2800 MHz boost, while the RTX 4090 Max-Q runs at 930 MHz base and 1455 MHz boost. The Intel card's boost clock is 92% higher than NVIDIA's. Yet the NVIDIA part still achieves higher FP32 due to its 2.4x larger shader count.
# The Verdict
The recorded data points to a bifurcated recommendation based on workload and platform constraints.
For users who need maximum FP32 shader throughput, ray tracing performance, tensor core acceleration, and minimal power draw, the RTX 4090 Max-Q is the superior choice. Its 28.31 TFLOPS FP32 output, 76 RT cores, and 304 tensor cores provide a comprehensive feature set for gaming, DCC applications, and AI workloads that can exploit NVIDIA's tensor core ecosystem. The 80 W TDP enables deployment in slim mobile chassis where the 230 W Arc Pro B70 cannot physically fit. The NVIDIA part also carries an active production status, suggesting ongoing availability.
For users who prioritize memory capacity, FP16 throughput, and raw rasterization fill rates, the Arc Pro B70 delivers clear advantages. Its 32 GB memory capacity is double the RTX 4090 Max-Q's 16 GB, eliminating out-of-memory issues for large models and scenes. The 45.88 TFLOPS FP16 output exceeds the NVIDIA part by 62%, and the 358.4 GPixel/s pixel rate more than doubles the competition. The Intel card's PCIe 5.0 x16 interface also provides double the bandwidth of the NVIDIA part's PCIe 4.0 x16 connection, which can benefit data transfers in workstation environments.
The release timeline shows the Arc Pro B70 launching on 2026-03-25, while the RTX 4090 Max-Q launched on 2023-01-02. The Intel part is the newer design by more than three years. The RTX 4090 Max-Q has a predecessor in GeForce 30 Mobile and a successor in GeForce 50 Mobile, indicating an established product lifecycle. The Intel card has no recorded predecessor or successor.
The absence of direct benchmark data and the zero win counts in head-to-head testing means these conclusions rest on specification analysis rather than measured performance. Users with workloads that stress memory capacity or FP16 arithmetic should favor the Arc Pro B70. Users with power constraints or reliance on tensor cores should favor the RTX 4090 Max-Q.
# FAQ
Q: Which GPU has more memory?
A: The Intel Arc Pro B70 has 32 GB of GDDR6 memory, while the NVIDIA RTX 4090 Max-Q has 16 GB. The Intel card provides double the capacity.
Q: Which GPU has higher FP32 compute performance?
A: The RTX 4090 Max-Q achieves 28.31 TFLOPS FP32, compared to 22.94 TFLOPS for the Arc Pro B70, a difference of approximately 23% in NVIDIA's favor.
Q: Which GPU is more power-efficient?
A: The RTX 4090 Max-Q operates at 80 W TDP, while the Arc Pro B70 consumes 230 W. The NVIDIA part draws roughly one-third the power of the Intel card.
Q: Do both GPUs support the same APIs?
A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
Q: Which GPU has higher memory bandwidth?
A: The Arc Pro B70 delivers 608.0 GB/s bandwidth versus 576.0 GB/s for the RTX 4090 Max-Q, giving Intel a 5.6% advantage.
Q: What is the release date difference?
A: The RTX 4090 Max-Q launched on 2023-01-02, while the Arc Pro B70 launches on 2026-03-25. The Intel part is newer by over three years.
# Specification Differences
| Specification | Intel Arc Pro B70 | NVIDIA RTX 4090 Max-Q |
|---|---|---|
| Architecture | Xe2-HPG | Ada Lovelace |
| Generation | Battlemage (Pro Series) | GeForce 40 Mobile |
| Process Node | 5 nm | 5 nm |
| Foundry | TSMC | TSMC |
| Die Size | 368 mm² | 379 mm² |
| Transistors | Unknown | 45,900 million |
| Transistor Density | Not listed | 121.1M / mm² |
| Base Clock | 2280 MHz | 930 MHz |
| Boost Clock | 2800 MHz | 1455 MHz |
| Memory Size | 32 GB | 16 GB |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus Width | 256 bit | 256 bit |
| Memory Clock | 2375 MHz 19 Gbps effective | 2250 MHz 18 Gbps effective |
| Memory Bandwidth | 608.0 GB/s | 576.0 GB/s |
| Shading Units | 4096 | 9728 |
| TMUs | 256 | 304 |
| ROPs | 128 | 112 |
| RT Cores | 32 | 76 |
| Tensor Cores | Not listed | 304 |
| Pixel Rate | 358.4 GPixel/s | 163.0 GPixel/s |
| Texture Rate | 716.8 GTexel/s | 442.3 GTexel/s |
| FP32 Performance | 22.94 TFLOPS | 28.31 TFLOPS |
| FP16 Performance | 45.88 TFLOPS (2:1) | 28.31 TFLOPS (1:1) |
| TDP | 230 W | 80 W |
| Slot Width | Dual-slot | IGP |
| Power Connectors | 1x 8-pin | None |
| Suggested PSU | 550 W | Not listed |
| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x16 |
| Display Outputs | 1x HDMI 2.1a, 3x DisplayPort 2.1 | Portable Device Dependent |
| Release Date | 2026-03-25 | 2023-01-02 |
| Predecessor | Not listed | GeForce 30 Mobile |
| Successor | Not listed | GeForce 50 Mobile |
| Production Status | Not listed | Active |
| Launch MSRP | 949 USD | Not listed |