Intel Arc Pro B65 vs NVIDIA H20 Comparison

Head-to-Head Benchmarks

The database currently holds no recorded head-to-head benchmark results for the Intel Arc Pro B65 versus the NVIDIA H20. Both entries show zero benchmark scores, zero average benchmark scores, and zero wins in direct comparisons. This means the quantitative comparison must rely entirely on the recorded specification data and the performance indicators derived from it.

What the data does show is a stark contrast in compute capability. The NVIDIA H20 delivers 39.54 TFLOPS of FP32 performance, which is 3.2 times the 12.29 TFLOPS recorded for the Intel Arc Pro B65. In FP16 workloads, the gap widens further: the H20 reaches 79.07 TFLOPS versus 24.58 TFLOPS for the Arc Pro B65, a 3.2x advantage as well. These figures place the H20 in a different performance tier entirely, consistent with its server-oriented positioning.

Memory bandwidth tells a similar story. The H20's HBM3 memory subsystem provides 4.03 TB/s of bandwidth across a 6144-bit bus, compared to the Arc Pro B65's 608.0 GB/s over a 256-bit GDDR6 interface. That is a 6.6x bandwidth advantage for the NVIDIA part. The H20 also carries 96 GB of memory versus 32 GB on the Intel card, a 3x capacity lead that matters for large model residency.

Texture rate favors the H20 as well: 617.8 GTexel/s versus 384.0 GTexel/s, a 1.6x margin. The Arc Pro B65 counters in pixel throughput, posting 192.0 GPixel/s against the H20's 47.52 GPixel/s. That 4.0x advantage in pixel fill rate reflects the Intel card's rasterization-oriented design, which pairs 80 ROPs with a 2400 MHz boost clock. The H20, by contrast, uses only 24 ROPs and a 1980 MHz boost clock.

Clock speeds show the Intel part running higher: 2400 MHz base and boost on the Arc Pro B65 versus 1830 MHz base and 1980 MHz boost on the H20. The Intel card's boost clock is 21.2% higher, and its base clock is 31.1% higher. This explains part of the pixel rate disparity, though the architectural differences are more decisive.

The transistor counts reveal the scale gap: the H20 packs 80,000 million transistors on an 814 mm² die, while the Arc Pro B65 uses 19,600 million on a 272 mm² die. Both are fabricated by TSMC on a 5 nm process, but the H20's die is 3.0x larger and carries 4.1x more transistors. Transistor density also differs: 98.3M per mm² for the H20 versus 72.1M per mm² for the Arc Pro B65.

The Verdict

The recorded data indicates two fundamentally different products serving different workloads. The NVIDIA H20 is the clear compute leader: its FP32 throughput is 3.2x higher, its FP16 throughput is 3.2x higher, its memory bandwidth is 6.6x higher, and its memory capacity is 3x larger. Any workload that scales with raw compute or memory bandwidth will favor the H20 decisively.

The Intel Arc Pro B65 wins in specific rasterization metrics. Its pixel rate of 192.0 GPixel/s is 4.0x that of the H20, and its 80 ROPs dwarf the H20's 24. The Intel card also operates at higher clocks: 2400 MHz boost versus 1980 MHz boost. For traditional graphics rendering tasks that depend on pixel throughput, the Arc Pro B65 has the measurable advantage.

The H20 draws 500 W against 200 W for the Arc Pro B65, and it requires a 900 W suggested PSU versus 550 W. The H20 is an SXM module with no display outputs, while the Arc Pro B65 is a dual-slot card with 4x DisplayPort 2.1 outputs. These are not interchangeable products; they occupy different market segments.

The percentile data places both at the 50th percentile among all GPUs in the database, but this reflects the absence of benchmark scores rather than measured performance parity. Until benchmark results are recorded, the specification comparison is the only evidence available.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA H20 delivers 39.54 TFLOPS of FP32 performance, which is 3.2 times the 12.29 TFLOPS recorded for the Intel Arc Pro B65.

Q: How does memory bandwidth compare between the two?

A: The H20 provides 4.03 TB/s of memory bandwidth over a 6144-bit HBM3 interface, while the Arc Pro B65 offers 608.0 GB/s over a 256-bit GDDR6 bus. The H20's bandwidth is 6.6x higher.

Q: Which card has higher pixel fill rate?

A: The Intel Arc Pro B65 posts 192.0 GPixel/s, which is 4.0x the 47.52 GPixel/s recorded for the NVIDIA H20. The Intel card's 80 ROPs and higher 2400 MHz boost clock drive this advantage.

Q: What are the memory capacity differences?

A: The H20 carries 96 GB of HBM3 memory, while the Arc Pro B65 has 32 GB of GDDR6. The H20 offers 3x the capacity.

Q: Do both cards support display outputs?

A: No. The Intel Arc Pro B65 has 4x DisplayPort 2.1 outputs, while the NVIDIA H20 has no display outputs at all, consistent with its server module design.

Q: What are the power requirements?

A: The H20 has a 500 W TDP and a suggested PSU of 900 W. The Arc Pro B65 has a 200 W TDP and a suggested PSU of 550 W.

Specification Differences

The two cards differ across nearly every recorded specification. The NVIDIA H20 uses the GH100 chip with the Hopper architecture, while the Intel Arc Pro B65 uses the BMG-G21 chip with the Xe2-HPG architecture. The H20 is from the Server Hopper (Hxx) generation; the Arc Pro B65 is from the Battlemage (Pro Series) generation.

Clock speeds differ significantly. The Arc Pro B65 runs at 2400 MHz base and 2400 MHz boost. The H20 runs at 1830 MHz base and 1980 MHz boost. Memory clocks also diverge: the Intel card uses 2375 MHz (19 Gbps effective) GDDR6, while the H20 uses 1313 MHz (5.3 Gbps effective) HBM3.

The H20 has 9984 shading units, 312 TMUs, 24 ROPs, and 312 tensor cores. The Arc Pro B65 has 2560 shading units, 160 TMUs, 80 ROPs, and 20 ray tracing cores. The H20 records no RT core count, and the Intel card records no tensor core count.

Power and physical specifications differ sharply. The H20 is an SXM module with a 500 W TDP and no power connector listing. The Arc Pro B65 is a dual-slot card with a 200 W TDP and a 1x 8-pin power connector. Suggested PSU ratings are 900 W for the H20 and 550 W for the Arc Pro B65.

Display outputs distinguish them completely: the Arc Pro B65 provides 4x DisplayPort 2.1, while the H20 has no outputs. API support also diverges: the Intel card supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the H20 lists N/A for all three.

Release dates differ by roughly two years: the H20 launched on 2024-01-31, and the Arc Pro B65 on 2026-03-31. The H20 lists "Server Ada" as its predecessor and "Server Blackwell" as its successor; the Arc Pro B65 lists no predecessor or successor.

Architecture Differences

The architectures target different workloads. The NVIDIA H20 uses the Hopper architecture, designed for server compute and AI acceleration. It relies on 312 tensor cores to deliver 79.07 TFLOPS of FP16 performance. The Intel Arc Pro B65 uses the Xe2-HPG architecture, built for graphics and professional visualization, with 20 RT cores for ray tracing workloads.

The process nodes are identical: both use TSMC's 5 nm process. Die sizes differ substantially: the H20 measures 814 mm², while the Arc Pro B65 measures 272 mm². Transistor counts follow: 80,000 million for the H20 versus 19,600 million for the Arc Pro B65. Transistor density is higher on the H20 at 98.3M per mm², compared to 72.1M per mm² for the Intel part.

Memory architectures are fundamentally different. The H20 uses HBM3 with a 6144-bit bus width and 4.03 TB/s bandwidth, optimized for high-bandwidth data access patterns common in server workloads. The Arc Pro B65 uses GDDR6 with a 256-bit bus and 608.0 GB/s bandwidth, a more conventional configuration for graphics cards.

Cache and feature differences are not recorded in the database beyond the compute and memory structures. The H20's tensor core count of 312 indicates a heavy focus on matrix operations. The Arc Pro B65's 20 RT cores and 80 ROPs indicate a focus on rasterization and ray tracing.

The H20's API support is listed as N/A for DirectX, OpenGL, and Vulkan, confirming its non-graphics server role. The Arc Pro B65 supports current graphics APIs, confirming its workstation graphics positioning. The H20 has no display outputs; the Arc Pro B65 has four DisplayPort 2.1 outputs.

Where Each One Wins

The NVIDIA H20 wins decisively in compute-bound workloads. Its FP32 throughput of 39.54 TFLOPS and FP16 throughput of 79.07 TFLOPS make it the choice for any task dominated by floating-point math. The 4.03 TB/s memory bandwidth and 96 GB capacity give it a strong advantage for large datasets that must reside in GPU memory. The 312 tensor cores indicate readiness for matrix-heavy operations such as neural network training or inference.

The Intel Arc Pro B65 wins in rasterization-oriented workloads. Its 192.0 GPixel/s pixel rate is 4.0x the H20's 47.52 GPixel/s, and its 80 ROPs provide 3.3x the pixel processing units. The 2400 MHz boost clock is 21.2% higher than the H20's 1980 MHz, which helps in latency-sensitive graphics tasks. The 4x DisplayPort 2.1 outputs make it directly usable for multi-display professional visualization.

Texture-heavy workloads show a mixed picture. The H20's 617.8 GTexel/s texture rate is 1.6x the Arc Pro B65's 384.0 GTexel/s, favoring the NVIDIA part for tasks that stress texture sampling. However, the Arc Pro B65's higher clock speeds and larger ROP count may compensate in scenarios where pixel output is the bottleneck.

Power efficiency favors the Intel card. The Arc Pro B65 delivers its performance at 200 W, while the H20 requires 500 W. The suggested PSU ratings follow: 550 W for the Intel card versus 900 W for the NVIDIA module. For deployments where power delivery is constrained, the Arc Pro B65 presents a lower-demand option.

The H20's SXM module form factor suits dense server installations, while the Arc Pro B65's dual-slot design with a conventional 8-pin power connector suits workstation builds. The H20's lack of display outputs means it cannot drive monitors directly; the Arc Pro B65 can drive up to four DisplayPort 2.1 displays.

The data supports a clear split: the H20 for compute and AI workloads, the Arc Pro B65 for graphics and visualization. No benchmark results exist to challenge this specification-based conclusion.