Intel Arc A380E vs NVIDIA B300 SXM6 AC Comparison

Intel Arc A380E and NVIDIA B300 SXM6 AC occupy opposite ends of the hardware spectrum. The A380E is a compact, low-power desktop graphics card built for display output and entry-level rendering. The B300 SXM6 AC is a massive server accelerator with no display outputs, designed for compute-heavy data center workloads. The recorded data shows no direct head-to-head benchmark overlap, but their individual scores and specifications reveal distinct purposes. The following analysis breaks down where each part wins based on the available database information.

Where Each One Wins

The Intel Arc A380E wins in any scenario requiring a physical display connection. It provides 4x DisplayPort 2.0 outputs, making it suitable for multi-monitor setups, digital signage, or workstation visualization. Its 75 W power draw and lack of power connectors allow it to run in systems with a 250 W suggested PSU, enabling installation in compact chassis. The A380E also supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, which makes it functional for legacy graphics APIs and modern game workloads. Its 50th percentile ranking among all GPUs in the database indicates it sits at the midpoint of the performance distribution, adequate for basic graphics tasks.

The NVIDIA B300 SXM6 AC wins in raw compute throughput. Its average benchmark score of 369,831 in Geekbench OpenCL places it at the 100th percentile, meaning it outperforms every other GPU in the database. The data shows it leads the NVIDIA B200 by 7%, the NVIDIA H200 NVL by 10.4%, the AMD Instinct MI300X by 16.3%, and the NVIDIA L40S by 25%. These deltas are substantial for a single-generation server part. The B300 SXM6 AC also wins on memory capacity and bandwidth, offering 288 GB of HBM3e with 8.19 TB/s throughput, which is critical for large language model inference and training datasets that exceed the 6 GB frame buffer of the A380E.

The B300 SXM6 AC also wins in FP16 compute. It delivers 76.99 TFLOPS with a 1:1 ratio, meaning FP16 and FP32 performance are identical. The A380E offers 8.192 TFLOPS FP16 but with a 2:1 ratio, meaning its FP16 rate is achieved through packed operations rather than native throughput. For neural network inference that relies on FP16, the B300 SXM6 AC provides nearly ten times the raw throughput. Additionally, the B300 SXM6 AC includes 592 tensor cores, which are absent from the A380E specification sheet, giving it a dedicated path for matrix math acceleration.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA B300 SXM6 AC has an average benchmark score of 369,831 in Geekbench OpenCL, while the Intel Arc A380E has no recorded benchmark score in the database. The B300 SXM6 AC ranks at the 100th percentile among all GPUs.

Q: How much faster is the B300 SXM6 AC than its nearest rival, the NVIDIA B200?

A: The B300 SXM6 AC scores 369,831, which is 7% higher than the NVIDIA B200's average score of 345,482. It is also 10.4% higher than the NVIDIA H200 NVL (334,891), 16.3% higher than the AMD Instinct MI300X (317,994), and 25% higher than the NVIDIA L40S (295,763).

Q: Can the Intel Arc A380E be used for multi-display output?

A: Yes, the A380E includes 4x DisplayPort 2.0 outputs. The NVIDIA B300 SXM6 AC has no display outputs, so it cannot drive monitors directly.

Q: What memory configurations do the two GPUs use?

A: The A380E uses 6 GB of GDDR6 on a 96-bit bus with 186.0 GB/s bandwidth. The B300 SXM6 AC uses 288 GB of HBM3e on an 8192-bit bus with 8.19 TB/s bandwidth.

Q: Which GPU has a higher FP32 compute rate?

A: The NVIDIA B300 SXM6 AC delivers 76.99 TFLOPS FP32, while the Intel Arc A380E delivers 4.096 TFLOPS FP32. The B300 SXM6 AC provides roughly 18.8 times the FP32 throughput.

Q: What are the power requirements for each card?

A: The A380E has a TDP of 75 W and requires a 250 W suggested PSU, with no power connectors needed. The B300 SXM6 AC has a TDP of 1100 W and requires a 1500 W suggested PSU, and it uses an SXM module slot rather than a standard PCIe slot.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between the Intel Arc A380E and the NVIDIA B300 SXM6 AC. This absence is expected given their different market positions. The A380E has zero recorded benchmark scores, while the B300 SXM6 AC has one entry: Geekbench OpenCL at 369,831.

Using the nearest rival data for the B300 SXM6 AC provides context for its performance tier. The NVIDIA B200 scores 345,482, which is 7% lower. The NVIDIA H200 NVL scores 334,891, 10.4% lower. The AMD Instinct MI300X scores 317,994, 16.3% lower. The NVIDIA L40S scores 295,763, 25% lower. These deltas indicate that the B300 SXM6 AC is not just marginally ahead of its peers; it establishes a clear performance gap that widens as the comparison moves down the stack.

The A380E's percentile ranking of 50 places it exactly at the median of all GPUs in the database. This means half of all recorded GPUs perform better and half perform worse. For a low-profile card with 1024 shading units and 64 texture mapping units, this position is consistent with its role as an entry-level part. The B300 SXM6 AC's 100th percentile ranking means no GPU in the database exceeds its score, which is a definitive statement of top-tier compute capability.

The FP32 and FP16 figures further illustrate the gap. The A380E's 4.096 TFLOPS FP32 is suited for basic 3D rendering and video processing. The B300 SXM6 AC's 76.99 TFLOPS FP32 is geared toward scientific simulation and AI training. Similarly, the A380E's 8.192 TFLOPS FP16 (2:1 ratio) is a fraction of the B300 SXM6 AC's 76.99 TFLOPS FP16 (1:1 ratio), which is significant for workloads that prefer reduced precision.

Specification Differences

The two GPUs differ in nearly every measurable specification. The Intel Arc A380E uses a DG2-128 chip with 7,200 million transistors on a 157 mm² die. The NVIDIA B300 SXM6 AC uses a GB110 chip with 208,000 million transistors on a 1628 mm² die. The transistor density is 45.9M per mm² for the A380E and 127.8M per mm² for the B300 SXM6 AC, reflecting the newer 5 nm process versus 6 nm.

Clock speeds are close, with the A380E running at 2000 MHz base and boost, while the B300 SXM6 AC runs at 1665 MHz base and 2032 MHz boost. Memory clocks differ: the A380E uses 1937 MHz (15.5 Gbps effective) GDDR6, while the B300 SXM6 AC uses 2000 MHz (8 Gbps effective) HBM3e. The effective bandwidth difference is massive: 186.0 GB/s versus 8.19 TB/s.

The shading unit count is 1024 for the A380E and 18944 for the B300 SXM6 AC. Texture mapping units are 64 versus 592. Render output units are 32 versus 24, an unusual case where the smaller card has more ROPs. The A380E has 8 ray tracing cores and no tensor cores. The B300 SXM6 AC has no specified ray tracing cores but includes 592 tensor cores. Pixel rate is 64.00 GPixel/s for the A380E and 48.77 GPixel/s for the B300 SXM6 AC. Texture rate is 128.0 GTexel/s versus 1,202.9 GTexel/s.

Bus interface differs: PCIe 4.0 x8 for the A380E versus PCIe 6.0 x16 for the B300 SXM6 AC. The A380E is single-slot with no power connectors and a 75 W TDP. The B300 SXM6 AC is an SXM module with a 1100 W TDP and a 1500 W suggested PSU. API support is complete for the A380E (DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4) and entirely absent for the B300 SXM6 AC, which lists N/A for all three APIs.

Architecture Differences

The Intel Arc A380E is built on the Xe-HPG architecture, specifically the Alchemist generation (Arc 3). It uses a 6 nm TSMC process and features a DG2-128 chip. The architecture includes dedicated ray tracing units, which are used for hardware-accelerated real-time ray tracing in gaming and rendering applications. The A380E also supports DirectX 12 Ultimate, which enables features like mesh shaders and variable rate shading. Its predecessor is Xe Graphics, and its successor is Battlemage, placing it in Intel's consumer-oriented graphics roadmap.

The NVIDIA B300 SXM6 AC is built on the Blackwell Ultra architecture, part of the Server Blackwell (Bxx) generation. It uses a 5 nm TSMC process and features a GB110 chip. This architecture prioritizes tensor core performance for AI and machine learning workloads, with 592 tensor cores dedicated to matrix operations. The FP16 1:1 ratio indicates that the tensor cores and standard CUDA cores operate at the same throughput, which is unusual and beneficial for mixed-precision training. The B300 SXM6 AC has no display outputs, no graphics API support, and no ray tracing cores listed, confirming its role as a compute-only accelerator. Its predecessor is Server Hopper, and its successor is Server Rubin, showing a clear server-focused lineage.

The architectural divergence is fundamental. The A380E is a graphics-first design with a complete display pipeline and rasterization hardware. The B300 SXM6 AC is a compute-first design that sacrifices graphics functionality entirely to maximize FP32, FP16, and tensor throughput. The die size difference (157 mm² versus 1628 mm²) reflects this specialization, as does the memory subsystem: GDDR6 for the A380E is optimized for latency-sensitive graphics, while HBM3e for the B300 SXM6 AC is optimized for bandwidth-hungry data movement. The production status also differs, with the A380E marked as end-of-life and the B300 SXM6 AC marked as active, indicating that the server part is current generation while the desktop part has been superseded.