Intel Arc A380E x2 vs NVIDIA RTX A1000 Comparison

The Intel Arc A380E x2 and NVIDIA RTX A1000 occupy very different positions in the database, and the recorded data shows a clear performance hierarchy despite the Arc card’s dual-GPU configuration. The RTX A1000 holds a massive advantage in raw compute throughput, while the Arc A380E x2 counters with higher clock speeds and a more modern memory interface.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between these two cards, so the comparison relies on their individual recorded scores and architectural specifications. The RTX A1000 delivers 6.737 TFLOPS of FP32 performance, which is 64% higher than the Arc A380E x2’s 4.096 TFLOPS. This gap stems from the NVIDIA card’s 2304 shading units versus 1024 on the Intel part, despite the Arc card’s higher boost clock of 2000 MHz compared to the RTX A1000’s 1462 MHz boost.

In the available benchmark suite, the RTX A1000 posts a 3DMark Steel Nomad DX12 score of 969, a Geekbench OpenCL score of 52078, and a Geekbench Vulkan score of 49574. Its average benchmark score of 34207 places it in the 79th percentile of all GPUs in the database. The Arc A380E x2 has no recorded benchmark scores, which means its percentile ranking of 50 reflects only its specification-based position rather than measured performance.

The RTX A1000’s nearest rivals in the database provide context for its standing. It sits 0.2% ahead of the NVIDIA RTX A2000 12 GB (average score 34154) and 0.2% ahead of the AMD Radeon RX 560 XT (34133). It trails the NVIDIA TITAN V by 0.4% (34355) and leads the AMD Radeon RX 480 by 0.6% (33997). These tight margins indicate the RTX A1000 performs in a well-established performance tier, whereas the Arc A380E x2 has no comparable measured data to anchor its position.

The memory subsystem tells a more nuanced story. The Arc A380E x2 uses 6 GB of GDDR6 on a 96-bit bus, delivering 186.0 GB/s of bandwidth. The RTX A1000 uses 8 GB of GDDR6 on a 128-bit bus, delivering 192.0 GB/s. The NVIDIA card’s bandwidth advantage is modest at 3.2%, but its larger capacity and wider bus give it a practical edge for workloads that exceed 6 GB. The Arc card compensates with a memory clock of 1937 MHz (15.5 Gbps effective) versus the RTX A1000’s 1500 MHz (12 Gbps effective), though the narrower bus limits the benefit.

FAQ

Q: Which card has higher raw FP32 compute performance?

A: The NVIDIA RTX A1000 delivers 6.737 TFLOPS, which is 64% higher than the Intel Arc A380E x2’s 4.096 TFLOPS. The RTX A1000’s 2304 shading units outnumber the Arc card’s 1024 by more than two to one.

Q: How do their memory configurations compare?

A: The RTX A1000 has 8 GB of GDDR6 on a 128-bit bus with 192.0 GB/s bandwidth. The Arc A380E x2 has 6 GB of GDDR6 on a 96-bit bus with 186.0 GB/s bandwidth. The NVIDIA card provides 33% more capacity and 3.2% more bandwidth.

Q: What are their power requirements?

A: The RTX A1000 has a 50 W TDP and requires no power connectors, with a suggested PSU of 250 W. The Arc A380E x2 has a 130 W TDP and requires a 6-pin power connector, with a suggested PSU of 300 W.

Q: Which card has higher pixel and texture throughput?

A: The Arc A380E x2 achieves 64.00 GPixel/s and 128.0 GTexel/s. The RTX A1000 achieves 46.78 GPixel/s and 105.3 GTexel/s. The Intel card leads by 37% in pixel rate and 22% in texture rate.

Q: Do both cards support the same graphics APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The RTX A1000 additionally includes 72 tensor cores and 18 RT cores, while the Arc A380E x2 has 8 RT cores and no tensor cores listed.

Q: How does the RTX A1000 rank among all GPUs in the database?

A: It sits in the 79th percentile with an average benchmark score of 34207. Its nearest rivals are the RTX A2000 12 GB, Radeon RX 560 XT, TITAN V, and Radeon RX 480, all within 0.6% of its score.

Architecture Differences

The two cards come from different architectural generations and foundries. The Arc A380E x2 uses Intel’s Xe-HPG architecture on the DG2-128 chip, built on TSMC’s 6 nm process with 7,200 million transistors on a 157 mm² die, yielding a transistor density of 45.9M per mm². The RTX A1000 uses NVIDIA’s Ampere architecture on the GA107 chip, built on Samsung’s 8 nm process with 8,700 million transistors on a 200 mm² die, yielding 43.5M per mm². The Intel chip packs more transistors per square millimeter despite having fewer total transistors and a smaller die.

The RTX A1000 includes 72 tensor cores and 18 RT cores, reflecting Ampere’s dedicated AI and ray tracing hardware. The Arc A380E x2 includes 8 RT cores and no tensor cores in the recorded data, which means its ray tracing and machine learning capabilities are substantially more limited. The Intel card’s FP16 performance is 8.192 TFLOPS with a 2:1 ratio, meaning it doubles FP32 throughput when using FP16. The RTX A1000’s FP16 performance is 6.737 TFLOPS at a 1:1 ratio, so it does not gain a throughput advantage from reduced precision.

Both cards support identical graphics API levels: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The Arc A380E x2 offers 8x mini-DisplayPort 2.0 outputs, while the RTX A1000 offers 4x mini-DisplayPort 1.4a outputs. The newer DisplayPort 2.0 standard on the Intel card supports higher bandwidth than the older 1.4a standard on the NVIDIA card, which matters for driving high-resolution, high-refresh-rate displays.

Specification Differences

The two cards differ across almost every major specification field. The Arc A380E x2 uses the DG2-128 chip from Intel’s Alchemist (Arc 3) generation, while the RTX A1000 uses the GA107 chip from NVIDIA’s Workstation Ampere (Ax000) generation. The Intel card’s base and boost clocks are both 2000 MHz, while the RTX A1000 runs at 727 MHz base and 1462 MHz boost. The Arc card’s clock advantage is significant, but its lower core count prevents it from translating that into higher FP32 throughput.

Memory capacity favors the RTX A1000 at 8 GB versus 6 GB, and the bus width favors NVIDIA at 128-bit versus 96-bit. The Intel card uses a faster memory clock (1937 MHz versus 1500 MHz), but the bandwidth difference remains small due to the bus width gap. The RTX A1000 has 2304 shading units, 72 TMUs, and 32 ROPs. The Arc A380E x2 has 1024 shading units, 64 TMUs, and 32 ROPs. The NVIDIA card has more than double the shading units and 12.5% more TMUs, while both have equal ROP counts.

Power consumption differs dramatically. The RTX A1000 has a 50 W TDP with no power connectors and a suggested PSU of 250 W. The Arc A380E x2 has a 130 W TDP with a 6-pin connector and a suggested PSU of 300 W. The NVIDIA card uses 62% less power while delivering higher compute performance. Physical dimensions also diverge: the Intel card measures 265 mm in length, 127 mm in height, and 20 mm in width, while the RTX A1000 measures 163 mm in length and 69 mm in height. Both are single-slot cards, but the Arc A380E x2 is substantially larger.

Production status separates the two as well. The Arc A380E x2 is marked as end-of-life with a release date of March 2024 and a successor listed as Battlemage. The RTX A1000 is active with a release date of April 2024 and a successor listed as Workstation Ada. The Intel card’s predecessor is Xe Graphics, while the NVIDIA card’s predecessor is Quadro Turing.

The Verdict

The recorded data points to the NVIDIA RTX A1000 as the stronger card for compute-heavy workloads. Its 6.737 TFLOPS FP32 performance, 8 GB memory capacity, and 192.0 GB/s bandwidth exceed the Arc A380E x2’s figures across all three categories. The RTX A1000 also includes tensor cores and more RT cores, which the Intel card lacks entirely. The NVIDIA card’s 79th percentile ranking among all GPUs, backed by an average benchmark score of 34207, provides measured evidence of its capability. The Arc A380E x2 has no benchmark scores in the database, leaving its 50th percentile ranking as a specification-only estimate.

The Arc A380E x2 does hold advantages in specific areas. Its 64.00 GPixel/s pixel rate and 128.0 GTexel/s texture rate exceed the RTX A1000’s 46.78 GPixel/s and 105.3 GTexel/s. Its 2000 MHz clock speed across base and boost is substantially higher than the NVIDIA card’s 1462 MHz boost. The Intel card’s 8x mini-DisplayPort 2.0 outputs outnumber the RTX A1000’s 4x mini-DisplayPort 1.4a outputs, and the newer standard supports higher display bandwidth. For users prioritizing rasterization throughput at lower resolutions or multi-display setups, the Arc card has measurable strengths.

Power efficiency strongly favors the RTX A1000. It delivers higher FP32 performance at 50 W TDP versus the Arc card’s 130 W TDP, and it requires no external power connector. The Intel card’s 6-pin connector and higher suggested PSU of 300 W versus 250 W make it a heavier burden on system power delivery. The RTX A1000’s smaller physical footprint (163 mm versus 265 mm) also simplifies installation in compact chassis.

Where Each One Wins

The RTX A1000 wins in FP32 compute, offering 64% more throughput than the Arc A380E x2. It wins in memory capacity with 8 GB versus 6 GB, and in bandwidth with 192.0 GB/s versus 186.0 GB/s. It wins in shading unit count with 2304 versus 1024, in tensor cores with 72 versus none, and in RT cores with 18 versus 8. It wins in power efficiency, delivering higher performance at 50 W versus 130 W. It wins in production status as an active product versus the Intel card’s end-of-life designation.

The Arc A380E x2 wins in clock speed with 2000 MHz base and boost versus 727 MHz base and 1462 MHz boost. It wins in pixel rate with 64.00 GPixel/s versus 46.78 GPixel/s. It wins in texture rate with 128.0 GTexel/s versus 105.3 GTexel/s. It wins in FP16 throughput with 8.192 TFLOPS versus 6.737 TFLOPS, though this comes from the 2:1 ratio rather than raw core capability. It wins in display outputs with 8x mini-DisplayPort 2.0 versus 4x mini-DisplayPort 1.4a. It wins in transistor density with 45.9M per mm² versus 43.5M per mm², and in process node with 6 nm versus 8 nm.

For use cases, the RTX A1000 suits compute-heavy tasks such as CUDA-accelerated rendering, machine learning inference, and general workstation workloads where FP32 performance and tensor cores matter. The Arc A380E x2 suits display-wall configurations and high-pixel-rate rasterization tasks where its 8 display outputs and higher pixel throughput provide tangible benefits. The data does not support using the Arc card for compute workloads that can leverage the RTX A1000’s 72 tensor cores, as the Intel card has no such hardware. The RTX A1000’s measured benchmark presence and 79th percentile standing make it the safer choice for general-purpose GPU work, while the Arc A380E x2’s specification advantages remain untested in the database.