Intel Arc A380E x2 vs NVIDIA RTX 5000 Ada Generation Comparison

The Verdict

The data presents a stark contrast between two professional graphics solutions. The Intel Arc A380E x2 occupies the 50th percentile among all GPUs, while the NVIDIA RTX 5000 Ada Generation sits at the 98th percentile. This places the NVIDIA adapter in the upper echelon of performance, with benchmark scores that place it within 0.5% of the NVIDIA A100 SXM4 80 GB and 1.4% ahead of the NVIDIA RTX PRO 5000 Blackwell. The Intel card, by comparison, has no recorded benchmark scores in the database, leaving its performance profile defined primarily by its architectural specifications rather than measured results.

The NVIDIA RTX 5000 Ada Generation delivers 65.28 TFLOPS of FP32 compute, which is approximately 15.9 times the 4.096 TFLOPS offered by the Intel Arc A380E x2. This massive computational gap, combined with 32 GB of memory versus 6 GB, establishes the NVIDIA card as the clear choice for compute-heavy workloads. The Intel solution, however, offers eight mini-DisplayPort 2.0 outputs, which presents a distinctive multi-display advantage that the NVIDIA card cannot match with its four DisplayPort 1.4a connections.

For users requiring maximum compute throughput, extensive memory capacity, or high-bandwidth data processing, the RTX 5000 Ada Generation is the only defensible selection from the recorded data. For specialized multi-display environments where eight simultaneous video outputs are essential, the Intel Arc A380E x2 provides a connectivity profile that the NVIDIA card lacks, though with substantially lower compute resources.

Architecture Differences

The two GPUs derive from fundamentally different design philosophies. Intel employs the DG2-128 chip built on the Xe-HPG architecture, part of the Alchemist generation for Arc 3 products. This chip uses a 6 nm process at TSMC and contains 7,200 million transistors on a 157 mm² die, yielding a transistor density of 45.9 million per square millimeter. NVIDIA counters with the AD102 chip using Ada Lovelace architecture, manufactured on a 5 nm TSMC process. The AD102 packs 76,300 million transistors into a 609 mm² die, achieving a transistor density of 125.3 million per square millimeter.

Memory architecture diverges sharply. The Intel card uses 6 GB of GDDR6 on a 96-bit bus, producing 186.0 GB/s of bandwidth. The NVIDIA card uses 32 GB of GDDR6 on a 256-bit bus, generating 576.0 GB/s of bandwidth, more than three times the Intel figure. Clock behavior also differs: Intel runs a flat 2000 MHz base and boost, while NVIDIA operates at 1155 MHz base with a 2550 MHz boost. Memory clocks are 1937 MHz (15.5 Gbps effective) for Intel and 2250 MHz (18 Gbps effective) for NVIDIA.

Compute resources show the scale of the gap. Intel provides 1,024 shading units, 64 TMUs, 32 ROPs, and 8 ray tracing cores, with no tensor core count recorded. NVIDIA provides 12,800 shading units, 400 TMUs, 176 ROPs, 100 ray tracing cores, and 400 tensor cores. The resulting pixel rate is 64.00 GPixel/s for Intel versus 448.8 GPixel/s for NVIDIA. Texture rate stands at 128.0 GTexel/s versus 1,020.0 GTexel/s. FP16 output is 8.192 TFLOPS at a 2:1 ratio for Intel, while NVIDIA achieves 65.28 TFLOPS at a 1:1 ratio, meaning NVIDIA's FP16 throughput equals its FP32 throughput rather than halving it.

Power and physical specifications also contrast. Intel draws 130 W with a 300 W suggested power supply, using a single 6-pin connector and a single-slot cooler. NVIDIA draws 250 W with a 600 W suggested power supply, using a 16-pin connector and a dual-slot cooler. Both use PCIe 4.0, but Intel employs an x8 interface while NVIDIA uses x16. API support is identical: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 for both.

FAQ

Q: How much faster is the NVIDIA RTX 5000 Ada Generation than the Intel Arc A380E x2 in FP32 compute?

A: The NVIDIA card delivers 65.28 TFLOPS of FP32 performance, which is approximately 15.9 times the 4.096 TFLOPS of the Intel Arc A380E x2.

Q: Which card has more memory bandwidth and by how much?

A: The NVIDIA RTX 5000 Ada Generation provides 576.0 GB/s of bandwidth from its 32 GB GDDR6 memory on a 256-bit bus. The Intel Arc A380E x2 provides 186.0 GB/s from 6 GB GDDR6 on a 96-bit bus. NVIDIA's bandwidth is over three times higher.

Q: What display output advantages does each card offer?

A: The Intel Arc A380E x2 provides eight mini-DisplayPort 2.0 outputs, supporting more simultaneous displays. The NVIDIA RTX 5000 Ada Generation provides four DisplayPort 1.4a outputs.

Q: How do the transistor counts compare between these two GPUs?

A: The Intel DG2-128 chip contains 7,200 million transistors on a 157 mm² die, while the NVIDIA AD102 contains 76,300 million transistors on a 609 mm² die. NVIDIA's chip has more than ten times the transistor count.

Q: What is the production status of each card?

A: The Intel Arc A380E x2 is listed as end-of-life, with a release date of March 2024 and a successor named Battlemage. The NVIDIA RTX 5000 Ada Generation is listed as active, released in August 2023, with a successor named Blackwell PRO W.

Q: How does the RTX 5000 Ada Generation compare to the NVIDIA A100 SXM4 80 GB?

A: The RTX 5000 Ada Generation scores 184,664 average in recorded benchmarks, which is 0.5% higher than the A100 SXM4 80 GB's average score of 183,725.

Specification Differences

The recorded specifications show differences in nearly every measurable category. The process node differs at 6 nm for Intel versus 5 nm for NVIDIA. Transistor count is 7,200 million versus 76,300 million. Die size is 157 mm² versus 609 mm². Transistor density is 45.9M per mm² versus 125.3M per mm². Base clocks are 2000 MHz versus 1155 MHz, boost clocks are 2000 MHz versus 2550 MHz, and memory clocks are 1937 MHz versus 2250 MHz.

Memory capacity differs at 6 GB versus 32 GB, bus width at 96-bit versus 256-bit, and bandwidth at 186.0 GB/s versus 576.0 GB/s. Shading units number 1,024 versus 12,800, TMUs 64 versus 400, ROPs 32 versus 176, ray tracing cores 8 versus 100, and tensor cores are absent versus 400. Pixel rate is 64.00 GPixel/s versus 448.8 GPixel/s, texture rate is 128.0 GTexel/s versus 1,020.0 GTexel/s, FP32 is 4.096 TFLOPS versus 65.28 TFLOPS, and FP16 is 8.192 TFLOPS versus 65.28 TFLOPS.

TDP is 130 W versus 250 W, slot width is single-slot versus dual-slot, power connectors are 1x 6-pin versus 1x 16-pin, and suggested PSU is 300 W versus 600 W. Bus interface is PCIe 4.0 x8 versus PCIe 4.0 x16. Display outputs are 8x mini-DisplayPort 2.0 versus 4x DisplayPort 1.4a. Dimensions vary: length is 265 mm versus 267 mm, height is 127 mm versus 112 mm, and width is 20 mm for Intel while NVIDIA's width is not recorded. Production status is end-of-life versus active, release dates are March 2024 versus August 2023, predecessor is Xe Graphics versus Workstation Ampere, and successor is Battlemage versus Blackwell PRO W.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark comparisons between the Intel Arc A380E x2 and the NVIDIA RTX 5000 Ada Generation. The Intel card has no recorded benchmark entries, while the NVIDIA card has two: a Geekbench OpenCL score of 175,286 and a Geekbench Vulkan score of 194,041. The NVIDIA card's average benchmark score is 184,664.

The absence of Intel benchmark data means the comparison must rely on specification-derived capabilities rather than measured performance. The FP32 delta is the most striking: NVIDIA's 65.28 TFLOPS versus Intel's 4.096 TFLOPS represents a 15.9-fold advantage. Texture rate shows a similar disparity at 1,020.0 GTexel/s versus 128.0 GTexel/s, an 8-fold difference. Pixel rate is 448.8 GPixel/s versus 64.00 GPixel/s, a 7-fold difference. Memory bandwidth is 576.0 GB/s versus 186.0 GB/s, a 3.1-fold difference.

The NVIDIA card's positioning among rivals reinforces its performance tier. Its average benchmark score of 184,664 places it 0.5% above the NVIDIA A100 SXM4 80 GB at 183,725, 1.4% above the NVIDIA RTX PRO 5000 Blackwell at 182,109, and 3.7% above the NVIDIA GeForce RTX 4090 D at 178,050. It trails only the NVIDIA A100 SXM4 40 GB among listed rivals, which scores 187,147 and leads by 1.3%.

Where Each One Wins

The NVIDIA RTX 5000 Ada Generation dominates compute-intensive applications based on the recorded data. Its FP32 throughput of 65.28 TFLOPS, FP16 throughput of 65.28 TFLOPS at 1:1 ratio, and 400 tensor cores position it for AI inference, scientific simulation, and rendering workloads that scale with raw compute. The 32 GB memory capacity and 576.0 GB/s bandwidth support large datasets and high-resolution textures without capacity constraints. The 100 ray tracing cores provide substantial hardware acceleration for ray-traced rendering tasks.

The Intel Arc A380E x2 wins exclusively in display connectivity. Its eight mini-DisplayPort 2.0 outputs allow connection of more displays than the NVIDIA card's four DisplayPort 1.4a outputs. DisplayPort 2.0 also represents a newer interface standard than DisplayPort 1.4a, which may matter for certain high-resolution or high-refresh-rate display configurations. The Intel card's lower 130 W TDP and single-slot design also indicate a more compact physical footprint, with a 20 mm width versus NVIDIA's unrecorded width in a dual-slot format.

The benchmark percentile data reinforces this split. NVIDIA's 98th percentile placement among all GPUs indicates top-tier performance, while Intel's 50th percentile placement indicates mid-range positioning. For workloads where compute, memory, or ray tracing dominate, the RTX 5000 Ada Generation is the clear winner. For environments requiring the maximum number of display outputs from a single card, the Intel Arc A380E x2 offers a unique capability that the NVIDIA card does not provide. The production status difference, with Intel end-of-life and NVIDIA active, also suggests different long-term availability considerations.