Intel Arc Pro B60 Dual vs NVIDIA GeForce RTX 4090 Max-Q Comparison

Head-to-Head Benchmarks

The database records no direct head-to-head benchmark comparisons between the Intel Arc Pro B60 Dual and the NVIDIA GeForce RTX 4090 Max-Q. Both products have empty benchmark arrays, zero average benchmark scores, and identical percentile rankings at 50 percent of all GPUs. The wins counter shows zero for each side. This means a direct performance comparison cannot be established from measured results in the database.

Without benchmark scores, the analysis must rely on the recorded architectural and specification data. The NVIDIA GeForce RTX 4090 Max-Q carries a significantly higher FP32 throughput at 28.31 TFLOPS, while the Intel Arc Pro B60 Dual records 12.29 TFLOPS. That difference represents roughly 2.3 times the raw single-precision compute capacity in favor of NVIDIA. The RTX 4090 Max-Q also leads in texture rate with 442.3 GTexel/s versus 384.0 GTexel/s on the Intel card, a 15 percent advantage. Its memory bandwidth of 576.0 GB/s exceeds the Intel card's 456.0 GB/s by approximately 26 percent.

The Intel Arc Pro B60 Dual counters in several specific metrics. Its pixel rate of 192.0 GPixel/s surpasses the NVIDIA card's 163.0 GPixel/s, an 18 percent lead. The Intel card's base clock of 2000 MHz and boost clock of 2400 MHz are substantially higher than the NVIDIA part's 930 MHz base and 1455 MHz boost. The Intel card also offers 24 GB of GDDR6 memory versus 16 GB on the NVIDIA part, a 50 percent capacity advantage. The Intel card's memory clock of 2375 MHz (19 Gbps effective) exceeds the NVIDIA card's 2250 MHz (18 Gbps effective).

The RTX 4090 Max-Q holds clear leads in shading units (9728 versus 2560), texture mapping units (304 versus 160), render output units (112 versus 80), ray tracing cores (76 versus 20), and tensor cores (304 versus none listed on the Intel card). The FP16 comparison shows the Intel card delivering 24.58 TFLOPS with a 2:1 ratio, while NVIDIA delivers 28.31 TFLOPS with a 1:1 ratio. The NVIDIA card's FP16 output equals its FP32 output, indicating a different execution model.

FAQ

Q: Which GPU has more memory capacity?

A: The Intel Arc Pro B60 Dual has 24 GB of GDDR6 memory, while the NVIDIA GeForce RTX 4090 Max-Q has 16 GB of GDDR6 memory. The Intel card provides 50 percent more memory capacity.

Q: How do the two cards compare in power consumption?

A: The Intel Arc Pro B60 Dual has a TDP of 400 W and requires a 1x 16-pin power connector with a suggested 800 W power supply. The NVIDIA GeForce RTX 4090 Max-Q has a TDP of 80 W, uses no power connector, and has no suggested PSU listed in the database.

Q: What are the form factor differences?

A: The Intel Arc Pro B60 Dual is a dual-slot card measuring 300 mm in length, 110 mm in height, and 40 mm in width. The NVIDIA GeForce RTX 4090 Max-Q is an IGP (integrated graphics processor) with no listed dimensions, designed for portable devices.

Q: Which GPU has higher boost clocks?

A: The Intel Arc Pro B60 Dual has a boost clock of 2400 MHz, which is 65 percent higher than the NVIDIA GeForce RTX 4090 Max-Q's boost clock of 1455 MHz. The Intel card's base clock of 2000 MHz is also more than double the NVIDIA card's 930 MHz base clock.

Q: How do the bus interfaces differ?

A: The Intel Arc Pro B60 Dual uses PCIe 5.0 x8, while the NVIDIA GeForce RTX 4090 Max-Q uses PCIe 4.0 x16. The NVIDIA card has twice the lane count but an older protocol generation.

Q: What display outputs does each card provide?

A: The Intel Arc Pro B60 Dual provides 4x mini-DisplayPort 2.1 outputs. The NVIDIA GeForce RTX 4090 Max-Q's display outputs are listed as "Portable Device Dependent," meaning they vary by the laptop or mobile device implementation.

The Verdict

The database shows two GPUs designed for fundamentally different purposes. The NVIDIA GeForce RTX 4090 Max-Q is a mobile part with an 80 W TDP, IGP form factor, and no power connector, targeting portable devices. The Intel Arc Pro B60 Dual is a desktop-oriented dual-slot card with a 400 W TDP, a 1x 16-pin power connector, and a suggested 800 W power supply.

For raw compute throughput, the RTX 4090 Max-Q leads decisively. Its 28.31 TFLOPS FP32 output is 2.3 times the Intel card's 12.29 TFLOPS. It also has 3.8 times the shading units, 3.8 times the ray tracing cores, and 304 tensor cores where the Intel card lists none. The NVIDIA part's memory bandwidth advantage of 576.0 GB/s versus 456.0 GB/s further supports compute-heavy workloads.

The Intel Arc Pro B60 Dual wins on memory capacity (24 GB versus 16 GB), pixel fill rate (192.0 GPixel/s versus 163.0 GPixel/s), and clock speeds (2400 MHz boost versus 1455 MHz boost). It also uses a newer PCIe 5.0 x8 interface versus PCIe 4.0 x16 on the NVIDIA card.

The verdict from the recorded data: the RTX 4090 Max-Q is the superior choice for compute-bound tasks requiring high FP32 throughput, ray tracing, and tensor operations. The Arc Pro B60 Dual suits workloads that need larger memory capacity, higher pixel throughput, or display output flexibility with four mini-DisplayPort 2.1 connections. Neither product has benchmark scores to confirm real-world performance, so the analysis rests entirely on specification data.

Specification Differences

| Specification | Intel Arc Pro B60 Dual | NVIDIA GeForce RTX 4090 Max-Q |

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

| Chip | BMG-G21 | AD103 |

| Architecture | Xe2-HPG | Ada Lovelace |

| Generation | Battlemage (Pro Series) | GeForce 40 Mobile |

| Transistors | 19,600 million | 45,900 million |

| Die Size | 272 mm² | 379 mm² |

| Transistor Density | 72.1M / mm² | 121.1M / mm² |

| Base Clock | 2000 MHz | 930 MHz |

| Boost Clock | 2400 MHz | 1455 MHz |

| Memory Clock | 2375 MHz (19 Gbps effective) | 2250 MHz (18 Gbps effective) |

| Memory Size | 24 GB | 16 GB |

| Memory Type | GDDR6 | GDDR6 |

| Memory Bus Width | 192 bit | 256 bit |

| Memory Bandwidth | 456.0 GB/s | 576.0 GB/s |

| Shading Units | 2560 | 9728 |

| TMUs | 160 | 304 |

| ROPs | 80 | 112 |

| RT Cores | 20 | 76 |

| Tensor Cores | None listed | 304 |

| Pixel Rate | 192.0 GPixel/s | 163.0 GPixel/s |

| Texture Rate | 384.0 GTexel/s | 442.3 GTexel/s |

| FP32 | 12.29 TFLOPS | 28.31 TFLOPS |

| FP16 | 24.58 TFLOPS (2:1) | 28.31 TFLOPS (1:1) |

| TDP | 400 W | 80 W |

| Slot Width | Dual-slot | IGP |

| Power Connectors | 1x 16-pin | None |

| Suggested PSU | 800 W | None listed |

| Bus Interface | PCIe 5.0 x8 | PCIe 4.0 x16 |

| Display Outputs | 4x mini-DisplayPort 2.1 | Portable Device Dependent |

| Dimensions | 300 mm x 110 mm x 40 mm | Not listed |

| Release Date | 2025-09-04 | 2023-01-02 |

| Predecessor | None listed | GeForce 30 Mobile |

| Successor | None listed | GeForce 50 Mobile |

Architecture Differences

The two GPUs use different architectures from different manufacturers. The Intel Arc Pro B60 Dual uses the Xe2-HPG architecture on the BMG-G21 chip, part of the Battlemage (Pro Series) generation. The NVIDIA GeForce RTX 4090 Max-Q uses the Ada Lovelace architecture on the AD103 chip, part of the GeForce 40 Mobile generation.

Both chips are fabricated on a 5 nm process by TSMC. The NVIDIA chip has substantially more transistors at 45,900 million versus 19,600 million on the Intel chip. The NVIDIA die is also larger at 379 mm² versus 272 mm². Transistor density favors NVIDIA at 121.1M per mm² compared to Intel's 72.1M per mm².

The NVIDIA chip employs 9728 shading units, 304 TMUs, 112 ROPs, 76 RT cores, and 304 tensor cores. The Intel chip uses 2560 shading units, 160 TMUs, 80 ROPs, and 20 RT cores, with no tensor cores listed. The NVIDIA part's tensor core count indicates support for AI-accelerated workloads, while the Intel card's architecture does not list this feature.

Memory architecture differs notably. The Intel card uses a 192-bit bus with GDDR6 memory at 456.0 GB/s bandwidth. The NVIDIA card uses a wider 256-bit bus with GDDR6 memory at 576.0 GB/s. Despite the Intel card's higher memory clock (2375 MHz versus 2250 MHz), the NVIDIA card's wider bus delivers more bandwidth.

FP16 execution also differs. The Intel card achieves 24.58 TFLOPS FP16 with a 2:1 ratio, meaning it halves its FP32 throughput for FP16 work. The NVIDIA card achieves 28.31 TFLOPS FP16 with a 1:1 ratio, meaning FP16 performance equals FP32 performance. This suggests different execution paths for lower-precision arithmetic.

Where Each One Wins

The NVIDIA GeForce RTX 4090 Max-Q wins in compute-heavy scenarios. Its 28.31 TFLOPS FP32 output, 304 tensor cores, and 76 ray tracing cores make it the stronger candidate for workloads involving AI inference, ray-traced rendering, and high-precision floating-point calculations. The 576.0 GB/s memory bandwidth supports data-intensive operations. The 304 TMUs and 442.3 GTexel/s texture rate provide an edge in texture-bound rendering. Its 80 W TDP makes it suitable for portable devices where power constraints apply.

The Intel Arc Pro B60 Dual wins in memory capacity and pixel throughput. Its 24 GB GDDR6 memory exceeds the NVIDIA card's 16 GB, benefiting workloads that require large working sets such as certain professional visualization or rendering tasks. The 192.0 GPixel/s pixel rate outperforms the NVIDIA card's 163.0 GPixel/s, indicating an advantage in fill-rate-bound operations. The card's higher base and boost clocks (2000 MHz and 2400 MHz) contribute to its pixel throughput advantage. Four mini-DisplayPort 2.1 outputs provide multi-display flexibility. The PCIe 5.0 x8 interface offers a newer bus generation, though with fewer lanes than the NVIDIA card's PCIe 4.0 x16.

The release timeline also differs. The Intel card was released on 2025-09-04, while the NVIDIA card was released on 2023-01-02. The NVIDIA card has a documented predecessor (GeForce 30 Mobile) and successor (GeForce 50 Mobile), while the Intel card lists neither. Both cards share the same API support: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The recorded data supports a clear split: the RTX 4090 Max-Q for compute and AI workloads where its tensor cores and higher FP32 throughput matter, and the Arc Pro B60 Dual for memory-capacity-sensitive tasks and high pixel fill rates. Neither card has benchmark scores to validate real-world performance, leaving specification analysis as the sole basis for comparison.