Intel Arc A370M vs NVIDIA RTX A1000 Comparison

# NVIDIA RTX A1000 vs Intel Arc A370M: Workstation-Class Showdown

The database comparison between the NVIDIA RTX A1000 and the Intel Arc A370M is a study in contrasting design philosophies. The RTX A1000 is a workstation-focused Ampere part, built on the GA107 chip using Samsung's 8 nm process. The Arc A370M is Intel's Alchemist generation mobile part, built on the DG2-128 die using TSMC's 6 nm process. The recorded data shows a clear performance gap, but the architecture story is just as revealing.

Head-to-Head Benchmarks

The benchmark results are decisive in this matchup. In the Geekbench OpenCL test, the RTX A1000 scores 52,078 points, while the Arc A370M manages 29,676 points. That is a 75.5% advantage for the NVIDIA card. The Vulkan test tells a similar story: the RTX A1000 scores 49,574, and the Arc A370M scores 28,673, a 72.9% lead for NVIDIA.

Across all recorded workloads, the RTX A1000 wins both head-to-head comparisons. The average benchmark score across all tests is 34,207 for the RTX A1000 versus 29,175 for the Arc A370M. The RTX A1000 also sits in the 79th percentile of all GPUs in the database, while the Arc card sits in the 74th percentile. The consistency is notable: the RTX card wins by a massive margin in compute-heavy API tests, and the closest rivals in the database for both cards are within 0.6% of their scores, making the delta between these two cards a true generational gap rather than a measurement anomaly.

Architecture Differences

The architectural split is significant. The RTX A1000 is built on NVIDIA's Ampere architecture, using the GA107 chip. It packs 8.7 billion transistors on a 200 mm² die, giving a transistor density of 43.5 million per square millimeter. The Arc A370M, in contrast, uses the Xe-HPG architecture with 7.2 billion transistors on a 157 mm² die, a density of 45.9 million per square millimeter. The NVIDIA chip is fabricated at Samsung, while Intel uses TSMC.

The RTX A1000 features 2,304 shading units, 72 tensor cores, 18 ray tracing cores, and 32 ROPs. The Arc A370M carries 1,024 shading units, 64 texture mapping units, 32 ROPs, and 8 ray tracing units. Notably, the Arc card has no tensor cores listed in the recorded specifications, a significant omission for AI-adjacent workloads.

Memory configurations are equally divergent. The RTX A1000 carries 8 GB of GDDR6 memory on a 128-bit bus, delivering 192.0 GB/s of bandwidth. The Arc A370M has 4 GB of GDDR6 on a 64-bit bus, delivering 112.0 GB/s. Clock speeds tell the rest of the story. The RTX A1000 runs a 727 MHz base clock with a 1462 MHz boost, with memory at 1500 MHz (12 Gbps effective). The Arc A370M runs a much higher 1550 MHz base and 2050 MHz boost, with memory at 1750 MHz (14 Gbps effective). The Arc card compensates with raw clocks, but the NVIDIA card wins on sheer scale of compute units and memory bandwidth.

Where Each One Wins

The RTX A1000 is the clear winner in raw compute. The Geekbench OpenCL score of 52,078 means a 75.5% lead over the Arc A370M's 29,676. In Geekbench Vulkan, the lead is 72.9% (49,574 versus 28,673). This is a workstation card designed for sustained compute. The 6.737 TFLOPS of FP32 performance and the 1:1 FP16 ratio (6.737 TFLOPS) mean it handles compute workloads without compromise. The 72 tensor cores are also an advantage.

The Arc A370M has its own strengths. It draws only 35 W TDP versus the RTX A1000's 50 W, which is a significant efficiency win. It is also a mobile IGP, which means it does not need a separate slot width or power connectors in the same way. The RTX A1000 does not need power connectors either, and is a single-slot card. However, the Arc is listed as End-of-life in the database, while the RTX A1000 is said to be active. For a system that is not limited by CUDA or OptiX, or where power needs are tight, the Arc card's lower TDP and higher clocks could be a more interesting option.

The RTX A1000 counters with far more memory (8 GB versus 4 GB), a wider 128-bit bus, and 192.0 GB/s bandwidth versus 112.0 GB/s. The shading unit count is more than double: 2,304 versus 1,024. The pixel rate is also higher, though the fill rate is higher on the Arc. The RTX A1000 is the card to get if the workload is compute-bound, especially if the workload uses FP16 or Tensor Cores. Arc is a sales card for those who want basic rendering with high efficiency and are on the mobile form factor.

FAQ

Q: How much faster is the RTX A1000 in Geekbench OpenCL?

A: The RTX A1000 scores 52,078 points, while the Arc A370M scores 29,676 points. That is a 75.5% lead for the NVIDIA card.

Q: Does the RTX A1000 support Tensor Cores?

A: Yes. The data shows 72 Tensor Cores on the RTX A1000. The Arc A370M has no recorded Tensor core count.

Q: What is the TDP of the Arc A370M?

A: The Arc A370M has a 35W TDP, which is lower than the RTX A1000's 50W. It is the more power efficient card.

Q: What is the memory configuration of each?

A: The RTX A1000 has 8 GB of GDDR6 memory on a 128-bit bus, with 192.0 GB/s of bandwidth. The Arc A370M has 4GB of GDDR6 on a 64-bit bus, with 112.0 GB/s of bandwidth.

Q: Which one is the best for a workstation?

A: Based on the benchmark data, the RTX A1000 is the strongest, with twice the shading units, more VRAM, more bandwidth and higher compute scores. The Arc is best suited for power-efficient or mobile builds.

The Verdict

From the measured data alone, the NVIDIA RTX A1000 is the clear winner. It wins both head-to-head benchmarks, with 75.5% and 72.9% leads respectively. It has more shading units, more memory, more bandwidth, more tensor cores, and a higher percentile ranking among all GPUs in the database. The Arc A370M has higher clocks and a lower TDP, making it an interesting niche product for power-constrained or compact systems, but as a compute engine, the RTX A1000 is in a different class. The recorded data supports a simple conclusion: if the workload uses the APIs and features the RTX A1000 supports, take the NVIDIA; if it can't, and you're constrained by space or power, the Arc's efficiency gives it a good reason. For raw performance in the database, the RTX A1000 is the choice.

Specification Differences

| Field | NVIDIA RTX A1000 | Intel Arc A370M |

| --- | --- | --- |

| Chip | GA107 | DG2-128 |

| Architecture | Ampere | Xe-HPG |

| Process | 8nm | 6nm |

| Foundry | Samsung | TSMC |

| Transistors | 8,700 million | 7,200 million |

| Die Size | 200 mm² | 157 mm² |

| Transistor Density | 43.5M / mm² | 45.9M / mm² |

| Base Clock | 723 MHz | 1550 MHz |

| Boost Clock | 1462 MHz | 2050 MHz |

| Memory | 8 GB GDDR6 | 4 GB GDDR6 |

| Memory Bus | 192 bit | 64 bit |

| Memory Bandwidth | 192.0 GB/s | 112.0 GB/s |

| Shading Units | 2304 | 1024 |

| TMUs | 72 | 64 |

| ROPs | 32 | 32 |

| RT Cores | 18 | 8 |

| Tensor Cores | 72 | N/A |

| Pixel Rate | 46.78 GPixel/s | 65.60 GPixel/s |

| Texture Rate | 105.3 GTexel/s | 131.2 GTexel/s |

| FP32 | 6.737 TFLOPS | 4.198 TFLOPS |

| FP16 | 6.737 TFLOPS (1:1) | 8.397 TFLOPS (2:1) |