Intel Arc B370 vs NVIDIA RTX A1000 Comparison

The Intel Arc B370 and NVIDIA RTX A1000 occupy very different positions in the hardware landscape. The Arc B370 is an integrated graphics processor (IGP) built on Intel’s 3 nm process, while the RTX A1000 is a single-slot workstation card on Samsung’s 8 nm node. Direct benchmark data is limited to a single shared test, but that test shows a clear winner. The recorded data indicates the Arc B370 leads in the one head-to-head comparison, while the RTX A1000 offers a much broader feature set and far higher overall benchmark averages across other tests.

The Verdict

The data supports a simple split. For users focused strictly on the measured 3DMark Steel Nomad DX12 workload, the Intel Arc B370 is the stronger part. It scores 1184 points against the RTX A1000’s 969 points, a 22.2% advantage. The Arc B370 also sits in the 5th percentile of all GPUs, while the RTX A1000 sits in the 79th percentile, but that percentile is based on a larger benchmark pool that includes compute-heavy tests.

The RTX A1000 is the pick for workstation tasks that use OpenCL or Vulkan compute. Its Geekbench OpenCL score of 52078 and Vulkan score of 49574 are far above anything recorded for the Arc B370, which has no such entries in the database. The A1000 also brings 8 GB of dedicated GDDR6 memory, 72 tensor cores, and a 192.0 GB/s memory bus, all absent from the Arc B370’s system-shared memory design.

For gaming and graphics-only workloads, the head-to-head result favors Intel. For professional rendering, AI inference, or compute workloads, the RTX A1000’s specifications and benchmark averages make it the more versatile option. The Arc B370 wins the one direct comparison; the RTX A1000 wins the broader argument.

FAQ

Q: Which GPU scores higher in the shared 3DMark Steel Nomad DX12 test?

A: The Intel Arc B370 scores 1184, which is 22.2% higher than the NVIDIA RTX A1000’s 969 points.

Q: Does the RTX A1000 have any benchmark wins over the Arc B370?

A: In the head-to-head dataset, the RTX A1000 has zero wins. However, the database lists Geekbench OpenCL and Vulkan scores for the A1000 (52078 and 49574 respectively), while no such scores are recorded for the Arc B370.

Q: What memory configurations do the two GPUs use?

A: The RTX A1000 uses 8 GB of GDDR6 on a 128-bit bus with 192.0 GB/s bandwidth. The Arc B370 uses system-shared memory, with bandwidth described as system dependent.

Q: How do their power requirements differ?

A: The Arc B370 has a 25 W TDP and is an IGP with no power connectors. The RTX A1000 has a 50 W TDP, also with no power connectors, but its suggested PSU is 250 W.

Q: What are the process nodes for each chip?

A: The Intel Arc B370 uses a 3 nm process from Intel’s foundry. The NVIDIA RTX A1000 uses an 8 nm process from Samsung.

Q: Which GPU has more shading units?

A: The RTX A1000 has 2304 shading units, compared to the Arc B370’s 1280. The A1000 also has 72 texture mapping units and 32 ROPs, versus 40 TMUs and 20 ROPs on the Arc B370.

Architecture Differences

The two chips come from completely different design philosophies. The Intel Arc B370 is built on the Xe3-LPG architecture, part of the Arc Graphics-M (Panther Lake) generation. It uses Intel’s 3 nm process and is designed as an integrated GPU, meaning it shares system memory and has no dedicated VRAM. The chip’s transistor count and die size are listed as unknown. The RTX A1000, by contrast, is an Ampere-generation workstation part using the GA107 chip on Samsung’s 8 nm process. It has 8,700 million transistors on a 200 mm² die, with a transistor density of 43.5M per mm².

The RTX A1000 includes dedicated ray tracing cores (18) and tensor cores (72), the latter being essential for AI and machine learning workloads. The Arc B370 has 10 ray tracing cores but no tensor cores listed. This is a fundamental architectural difference: the A1000 is built for compute-heavy professional tasks, while the B370 relies on its graphics pipeline alone. The A1000 also supports FP16 at a 1:1 ratio with FP32 (6.737 TFLOPS for both), whereas the Arc B370 achieves FP16 at 12.29 TFLOPS via a 2:1 ratio, doubling its FP32 rate of 6.144 TFLOPS.

Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical. The A1000’s predecessor is Quadro Turing, with a successor in Workstation Ada, while the Arc B370 has no listed predecessor or successor. The A1000 also uses a PCIe 4.0 x8 interface, while the Arc B370 is an IGP with no bus interface beyond the integrated package.

Specification Differences

The specification sheet shows a clear division. The Arc B370 has a base clock of 300 MHz and a boost clock of 2400 MHz. The RTX A1000 runs at 727 MHz base and 1462 MHz boost. Despite the lower clocks, the A1000 produces higher raw throughput in several categories. It delivers 6.737 TFLOPS FP32 versus 6.144 TFLOPS for the Arc B370, a 9.6% advantage. The A1000 also leads in texture rate: 105.3 GTexel/s versus 96.00 GTexel/s. The Arc B370 counters with a slightly higher pixel rate of 48.00 GPixel/s versus 46.78 GPixel/s.

Memory is the biggest differentiator. The RTX A1000 has 8 GB of GDDR6 with a 128-bit bus and 192.0 GB/s bandwidth. The Arc B370 has no dedicated memory; it uses system-shared memory with a bus width and bandwidth that are system dependent. This means the A1000’s memory performance is consistent and predictable, while the B370’s depends entirely on the host system’s RAM and memory controller.

Power and physical design also differ sharply. The Arc B370 is an IGP with a 25 W TDP, no slot width, and no power connectors. The RTX A1000 is a single-slot card, 163 mm long and 69 mm high, with a 50 W TDP and no power connectors, but it suggests a 250 W PSU. The A1000 has four mini-DisplayPort 1.4a outputs, while the B370’s display outputs are portable device dependent. The A1000’s release date is 2024-04-15, while the B370’s is 2026-01-26.

Head-to-Head Benchmarks

The only direct comparison in the database is the 3dmark_3dmark_steel_nomad_dx12 test. The Intel Arc B370 scores 1184, and the NVIDIA RTX A1000 scores 969. That is a 22.2% margin in favor of Intel. This is a significant lead in a modern DirectX 12 workload, suggesting the B370’s Xe3-LPG architecture handles this particular graphics load more efficiently than the A1000’s Ampere design.

However, the RTX A1000’s average benchmark score across all recorded tests is 34207, which dwarfs the Arc B370’s average of 1184. This discrepancy comes from the A1000’s Geekbench results: 52078 in OpenCL and 49574 in Vulkan. These are compute-oriented tests that measure raw shader and tensor performance, not just graphics rendering. The Arc B370 has no such scores in the database, so its average is based solely on the Steel Nomad result.

Look at the nearest rivals for context. The Arc B370’s closest competitor is the ATI Mobility Radeon HD 5570, with an average score of 1186, a 0.2% difference. The AMD FirePro M2000 trails by 1.4%. The RTX A1000’s nearest rivals are far more powerful: the NVIDIA RTX A2000 12 GB at 34154 (0.2% ahead), the AMD Radeon RX 560 XT at 34133 (0.2% ahead), the NVIDIA TITAN V at 34355 (0.4% behind), and the AMD Radeon RX 480 at 33997 (0.6% behind). This places the A1000 in a completely different performance class when averaged across all workloads.

Where Each One Wins

The Intel Arc B370 wins in the specific graphics benchmark that was measured. Its 1184 Steel Nomad score beats the A1000 by 22.2%, and its pixel rate of 48.00 GPixel/s is slightly higher than the A1000’s 46.78 GPixel/s. For a user running a DirectX 12 gaming or rendering workload similar to Steel Nomad, the B370 delivers better frame rates per the data. Its 25 W TDP also makes it far more power-efficient on paper, though it requires system memory for all data.

The NVIDIA RTX A1000 wins in every other measurable category. It has more shading units (2304 versus 1280), more TMUs (72 versus 40), more ROPs (32 versus 20), more ray tracing cores (18 versus 10), and a full set of 72 tensor cores where the B370 has none. Its FP32 throughput is 9.6% higher, and its texture rate is 9.7% higher. The dedicated 8 GB GDDR6 memory with 192.0 GB/s bandwidth gives it consistent performance that the B370 cannot match with shared memory. Its Geekbench OpenCL score of 52078 and Vulkan score of 49574 show massive compute capability, placing it in the 79th percentile of all GPUs.

The use case split is straightforward. For lightweight, power-constrained graphics tasks in a portable device, the Arc B370’s integrated design and 22.2% Steel Nomad lead make it the better choice. For professional workstation work, including AI inference, rendering, or compute, the RTX A1000’s dedicated memory, tensor cores, and far higher compute scores make it the only viable option in this pair. The data does not support the A1000 in the single gaming test, but it dominates everywhere else.