Intel Arc Pro B65 vs NVIDIA RTX 4000 SFF Ada Generation Comparison
Intel Arc Pro B65
RTX 4000 SFF Ada Generation
PERFORMANCE BENCHMARKS
Analysis: Intel Arc Pro B65 vs NVIDIA RTX 4000 SFF Ada Generation
Head-to-Head Benchmarks
The recorded data for these two workstation cards is asymmetrical. The Intel Arc Pro B65 has no benchmark scores listed in the database, while the NVIDIA RTX 4000 SFF Ada Generation has two: a Geekbench OpenCL score of 124,812 and a Geekbench Vulkan score of 109,364. This absence of comparable data for the Intel card means a direct numerical head-to-head comparison cannot be constructed from the database. The analysis must therefore rely on the architectural specifications and the relative standing of the NVIDIA card within the wider benchmark database.
The NVIDIA RTX 4000 SFF Ada Generation's average benchmark score is 117,088 across its two recorded tests. The database places this card in the 95th percentile of all GPUs, which indicates it outperforms the vast majority of recorded hardware. Its nearest rivals in the database provide useful context for this score. The NVIDIA GB10 sits 0.3% below with an average score of 117,393, effectively a statistical tie. The AMD Radeon PRO W7700 is 1.6% lower, scoring 118,976, which shows the RTX 4000 SFF Ada is competitive with a high-end workstation alternative. Conversely, the NVIDIA Tesla V100 SXM2 16 GB trails by 2.4% with a score of 114,395, and the NVIDIA RTX A5500 Mobile trails by 2.8% with 113,944. These deltas show that the RTX 4000 SFF Ada Generation sits in a tight performance cluster, with only a few percentage points separating it from several capable rivals.
The Intel Arc Pro B65, by contrast, has an average benchmark score of zero and holds the 50th percentile rank. The database shows no recorded workload results for this card. This does not imply the hardware is incapable, but it does mean the database cannot substantiate any performance claims for it. The GPU's theoretical specifications, such as 12.29 TFLOPS FP32 performance, provide a baseline for what the silicon might deliver, but without recorded scores, any comparison to the NVIDIA card's 19.17 TFLOPS FP32 remains an inference from paper specifications rather than a measured outcome.
Given the absence of benchmark data for the Intel card, the head-to-head section must rely on the only measurable data available: the NVIDIA card's recorded scores and its position relative to other GPUs in the database. The Geekbench OpenCL score of 124,812 is notably higher than its Vulkan score of 109,364, a 14.1% gap that suggests the card performs differently depending on the API workload. This variance is a point of interest for application developers, as it implies the card's compute capabilities are not uniform across all rendering or compute paths.
The Verdict
From the database's perspective, the choice between these two cards is straightforward but unsatisfying. The NVIDIA RTX 4000 SFF Ada Generation has recorded benchmark results that place it in the 95th percentile, with an average score of 117,088. Its nearest rivals are all within a few percentage points, confirming it is a top-tier performer in the database's recorded results. The Intel Arc Pro B65 has no recorded benchmarks, placing it in the 50th percentile by default, which is the median position rather than a reflection of measured performance.
For users who rely on database-verified performance, the NVIDIA card is the only one with substantiated results. The data shows it delivers 19.17 TFLOPS FP32, has 48 RT cores, and includes 192 tensor cores, all of which are recorded specifications. The Intel card offers 12.29 TFLOPS FP32, 20 RT cores, and no tensor core count listed. The NVIDIA card's architectural feature set is more comprehensively documented, which aids in making a data-driven decision.
The Intel Arc Pro B65 does hold advantages in memory capacity and bandwidth on paper: 32 GB of GDDR6 with 608.0 GB/s bandwidth versus the NVIDIA card's 20 GB with 280.0 GB/s. However, the database provides no evidence that these specifications translate into faster or more reliable performance. The NVIDIA card's 95th percentile rank and its proximity to rivals like the AMD Radeon PRO W7700, which is only 1.6% behind, suggest it is a known quantity in terms of expected performance. The Intel card, while architecturally interesting with its Xe2-HPG design, remains unproven in the database's measurements.
FAQ
Q: What is the average benchmark score for the NVIDIA RTX 4000 SFF Ada Generation?
A: The average benchmark score is 117,088, derived from two recorded tests: Geekbench OpenCL at 124,812 and Geekbench Vulkan at 109,364.
Q: How does the Intel Arc Pro B65's benchmark performance compare to the NVIDIA card?
A: The Intel Arc Pro B65 has no recorded benchmark scores in the database, so a direct comparison is not possible. Its percentile rank is 50, while the NVIDIA card ranks in the 95th percentile.
Q: What is the memory configuration difference between the two cards?
A: The Intel Arc Pro B65 uses 32 GB of GDDR6 with a 256-bit bus and 608.0 GB/s bandwidth. The NVIDIA RTX 4000 SFF Ada Generation uses 20 GB of GDDR6 with a 160-bit bus and 280.0 GB/s bandwidth.
Q: Which card has a higher FP32 compute rating?
A: The NVIDIA RTX 4000 SFF Ada Generation has a higher FP32 rating at 19.17 TFLOPS, while the Intel Arc Pro B65 is rated at 12.29 TFLOPS.
Q: What are the closest rivals to the NVIDIA RTX 4000 SFF Ada Generation?
A: The nearest rivals are the NVIDIA GB10 at 0.3% below, the AMD Radeon PRO W7700 at 1.6% below, the NVIDIA Tesla V100 SXM2 16 GB at 2.4% behind, and the NVIDIA RTX A5500 Mobile at 2.8% behind.
Q: What is the power consumption difference?
A: The Intel Arc Pro B65 has a TDP of 200 W with a suggested PSU of 550 W, while the NVIDIA RTX 4000 SFF Ada Generation has a TDP of 70 W with a suggested PSU of 250 W.
Specification Differences
The two cards differ across nearly every major specification field. The Intel Arc Pro B65 uses a BMG-G21 chip on the Xe2-HPG architecture, while the NVIDIA RTX 4000 SFF Ada Generation uses the AD104 chip on the Ada Lovelace architecture. Both are fabricated on a 5 nm process at TSMC, but the transistor counts diverge sharply: the Intel chip contains 19,600 million transistors on a 272 mm² die, while the NVIDIA chip contains 35,800 million transistors on a 294 mm² die. The transistor density reflects this: 72.1M per mm² for Intel versus 121.8M per mm² for NVIDIA.
Clock speeds differ substantially. The Intel card has a base clock of 2400 MHz and a boost clock of 2400 MHz, indicating a fixed clock rate. The NVIDIA card has a base clock of 720 MHz and a boost clock of 1560 MHz, showing a much wider dynamic range. Memory clocks also differ: Intel runs at 2375 MHz with 19 Gbps effective, while NVIDIA runs at 1750 MHz with 14 Gbps effective.
Memory capacity and bandwidth are major differentiators. The Intel card offers 32 GB of GDDR6 on a 256-bit bus with 608.0 GB/s bandwidth. The NVIDIA card offers 20 GB of GDDR6 on a 160-bit bus with 280.0 GB/s bandwidth. The Intel card has a clear advantage in memory volume and throughput on paper.
Compute unit counts diverge significantly. The Intel card has 2560 shading units, 160 TMUs, and 80 ROPs. The NVIDIA card has 6144 shading units, 192 TMUs, and 64 ROPs. The NVIDIA card has more shading units and TMUs, while the Intel card has more ROPs. The RT core counts differ: 20 for Intel versus 48 for NVIDIA. The NVIDIA card also has 192 tensor cores, while the Intel card has no tensor core count listed.
Pixel and texture rates reflect these differences. The Intel card achieves 192.0 GPixel/s and 384.0 GTexel/s, while the NVIDIA card achieves 99.84 GPixel/s and 299.5 GTexel/s. The Intel card has higher fill rates despite lower raw compute, which suggests different workload strengths.
Power requirements are markedly different. The Intel card has a TDP of 200 W and requires a 1x 8-pin power connector with a suggested 550 W PSU. The NVIDIA card has a TDP of 70 W, requires no power connectors, and suggests a 250 W PSU. The bus interface also differs: PCIe 5.0 x16 for Intel versus PCIe 4.0 x16 for NVIDIA.
Display outputs are distinct. The Intel card provides 4x DisplayPort 2.1, while the NVIDIA card provides 4x mini-DisplayPort 1.4a. Physical dimensions are only listed for the NVIDIA card: 168 mm in length and 69 mm in height. The Intel card's dimensions are not recorded.
Architecture Differences
The architectural split between these two cards is fundamental. Intel's Arc Pro B65 uses the Xe2-HPG architecture on the Battlemage generation, built around the BMG-G21 chip. NVIDIA's RTX 4000 SFF Ada Generation uses the Ada Lovelace architecture, built around the AD104 chip. Both use a 5 nm process at TSMC, but the design philosophies differ.
The transistor count tells a story of complexity. NVIDIA packs 35,800 million transistors into a 294 mm² die, achieving a density of 121.8M per mm². Intel fits 19,600 million transistors into a 272 mm² die, with a density of 72.1M per mm². The NVIDIA chip is significantly denser, which aligns with its higher shading unit count of 6144 versus Intel's 2560.
Compute capabilities diverge in both scale and type. The NVIDIA card has 48 RT cores and 192 tensor cores, supporting hardware-accelerated ray tracing and AI workloads. The Intel card has 20 RT cores and no listed tensor cores, indicating a different focus. The FP32 ratings reflect this: NVIDIA at 19.17 TFLOPS versus Intel at 12.29 TFLOPS. The FP16 figures are also telling: NVIDIA maintains a 1:1 ratio at 19.17 TFLOPS, while Intel doubles its FP32 rate to 24.58 TFLOPS with a 2:1 ratio, suggesting a different approach to mixed-precision compute.
Memory architecture differs in both size and bus width. The Intel card uses a 256-bit interface to its 32 GB of GDDR6, enabling 608.0 GB/s bandwidth. The NVIDIA card uses a 160-bit interface to its 20 GB of GDDR6, yielding 280.0 GB/s. The Intel card's wider bus and larger capacity point toward memory-intensive workloads, while the NVIDIA card's smaller memory footprint is offset by higher compute density.
Power efficiency is a stark contrast. The NVIDIA card operates at 70 W TDP, while the Intel card draws 200 W. The NVIDIA card requires no external power connectors, while the Intel card needs a 1x 8-pin connector. The suggested PSU ratings reflect this gap: 250 W for NVIDIA versus 550 W for Intel. The NVIDIA card also uses PCIe 4.0 x16, while the Intel card uses the newer PCIe 5.0 x16 interface.
Where Each One Wins
Based strictly on the recorded data, the NVIDIA RTX 4000 SFF Ada Generation wins in every measurable category. It has benchmark scores that place it in the 95th percentile, with an average score of 117,088. It delivers 19.17 TFLOPS FP32, has 48 RT cores, and includes 192 tensor cores. Its nearest rivals are all within 2.8% of its average score, confirming it sits at the top of a tight competitive cluster. Its 70 W TDP and lack of power connectors make it a low-power option that requires only a 250 W PSU. The card's recorded dimensions of 168 mm by 69 mm fit a compact SFF form factor.
The Intel Arc Pro B65 wins on paper in memory-related specifications. Its 32 GB of GDDR6 is 60% larger than the NVIDIA card's 20 GB. Its 608.0 GB/s bandwidth is more than double the NVIDIA card's 280.0 GB/s. Its pixel rate of 192.0 GPixel/s and texture rate of 384.0 GTexel/s exceed the NVIDIA card's 99.84 GPixel/s and 299.5 GTexel/s. These figures suggest the Intel card is designed for workloads that are bandwidth-bound or fill-rate-bound, such as high-resolution rendering or large dataset processing.
The database shows no benchmark results for the Intel card, which means its theoretical advantages remain unverified. The NVIDIA card's recorded results confirm its standing in the 95th percentile, alongside rivals like the AMD Radeon PRO W7700 at 1.6% behind and the NVIDIA GB10 at 0.3% behind. For users who prioritize verified performance, low power draw, and a compact physical footprint, the NVIDIA RTX 4000 SFF Ada Generation is the data-supported choice. For users who require maximum memory capacity and bandwidth, the Intel Arc Pro B65 presents a compelling specification sheet, but the database cannot confirm how those specifications translate into actual performance.