Intel Arc Pro B370 vs NVIDIA RTX A1000 Comparison

The Intel Arc Pro B370 and NVIDIA RTX A1000 occupy very different positions in the hardware landscape, and the recorded data makes those differences explicit. The Arc Pro B370 is an integrated graphics processor built for Panther Lake mobile platforms, while the RTX A1000 is a discrete workstation card. The benchmark information in the database includes only one side of this comparison, but the specification sheets provide enough detail for a direct analysis.

Head-to-Head Benchmarks

Direct head-to-head benchmark results are not recorded in the database for this pairing, so the comparison rests on the available performance data for the RTX A1000 and the theoretical output figures for the Arc Pro B370.

The RTX A1000 has three recorded benchmark scores. In 3DMark Steel Nomad DX12, it scores 969 points. Its Geekbench OpenCL result is 52078, and its Geekbench Vulkan result is 49574. The average benchmark score across these tests is 34207, placing the card at the 79th percentile among all GPUs in the database. This is a strong showing for a 50 W workstation card, and the nearest rivals confirm the positioning: the NVIDIA RTX A2000 12 GB sits 0.2% ahead with an average score of 34154, the AMD Radeon RX 560 XT is also 0.2% ahead at 34133, the NVIDIA TITAN V trails by 0.4% with a score of 34355, and the AMD Radeon RX 480 is 0.6% behind at 33997. The delta values are tight, meaning the RTX A1000 sits in a crowded performance band where small variations in workload can reorder results.

The Arc Pro B370 has no recorded benchmark scores and an average benchmark score of 0. Its percentileVsAllGpus is 50, which places it at the median of all GPUs in the database, but that figure is not supported by measured results. The data instead provides theoretical throughput numbers. The Arc Pro B370 delivers 6.144 TFLOPS of FP32 performance, 12.29 TFLOPS of FP16 (2:1), a pixel rate of 48.00 GPixel/s, and a texture rate of 96.00 GTexel/s. The RTX A1000 delivers 6.737 TFLOPS FP32, 6.737 TFLOPS FP16 (1:1), 46.78 GPixel/s, and 105.3 GTexel/s.

The FP32 comparison is close: the RTX A1000 leads by roughly 9.7% in raw shader throughput. The texture rate favors the RTX A1000 by about 9.7% as well, with 105.3 GTexel/s against 96.00 GTexel/s. The pixel rate is nearly identical, with the Arc Pro B370 slightly ahead at 48.00 GPixel/s versus 46.78 GPixel/s, a margin of about 2.6%. The FP16 comparison shows a major divergence: the Arc Pro B370 reaches 12.29 TFLOPS through a 2:1 ratio, doubling its FP32 rate, while the RTX A1000 maintains a 1:1 ratio at 6.737 TFLOPS. In workloads that use FP16 heavily, the Arc Pro B370 has a theoretical advantage of about 82% over the RTX A1000. That is the single largest numerical win in the available data.

The RTX A1000’s recorded benchmark scores provide context that the Arc Pro B370 lacks. The Geekbench scores, 52078 OpenCL and 49574 Vulkan, represent real-world execution across a broad set of compute tasks. The 3DMark Steel Nomad score of 969 indicates a modest DirectX 12 result for a workstation card, but the percentile ranking at 79 shows that the card outperforms most GPUs in the database overall.

FAQ

Q: Which GPU has higher FP32 throughput?

A: The NVIDIA RTX A1000 leads with 6.737 TFLOPS compared to 6.144 TFLOPS for the Intel Arc Pro B370, a difference of approximately 9.7%.

Q: How do the two compare in FP16 performance?

A: The Intel Arc Pro B370 delivers 12.29 TFLOPS via a 2:1 FP16 ratio, while the NVIDIA RTX A1000 delivers 6.737 TFLOPS at 1:1. The Arc Pro B370 offers about 82% higher FP16 throughput on paper.

Q: What is the RTX A1000’s average benchmark score and percentile?

A: The RTX A1000 has an average benchmark score of 34207 across three tests (3DMark Steel Nomad DX12, Geekbench OpenCL, Geekbench Vulkan) and sits at the 79th percentile among all GPUs in the database.

Q: Does the Intel Arc Pro B370 have any recorded benchmark results?

A: No, the database shows no benchmark scores for the Arc Pro B370. Its average benchmark score is 0, and its percentile of 50 is not derived from measured tests.

Q: Which GPU supports a larger memory capacity?

A: The NVIDIA RTX A1000 has 8 GB of GDDR6 memory on a 128-bit bus with 192.0 GB/s bandwidth. The Intel Arc Pro B370 uses system shared memory, with size, type, bus width, and bandwidth all listed as system dependent.

Q: What are the power requirements for each GPU?

A: The Intel Arc Pro B370 has a 25 W TDP and uses no power connectors, while the NVIDIA RTX A1000 has a 50 W TDP, no power connectors, and a suggested PSU rating of 250 W.

Where Each One Wins

The Intel Arc Pro B370 wins in specific theoretical compute categories. Its FP16 throughput of 12.29 TFLOPS is the standout figure, more than double the RTX A1000’s 6.737 TFLOPS. Workloads that leverage packed FP16 math, such as certain machine learning inference paths or graphics shaders with half-precision intermediates, would see a clear advantage on this architecture. The pixel rate of 48.00 GPixel/s also edges out the RTX A1000’s 46.78 GPixel/s, a small but measurable win in fill-rate bound scenarios. The Arc Pro B370 also runs at a lower 25 W TDP, which is half the power draw of the RTX A1000. For integrated graphics, this is a notable efficiency figure, although the comparison is not apples-to-apples since the Arc Pro B370 relies on system shared memory and has no dedicated VRAM.

The NVIDIA RTX A1000 wins in most other measured or specified categories. Its FP32 throughput of 6.737 TFLOPS beats the Arc Pro B370, and its texture rate of 105.3 GTexel/s is higher. The memory subsystem is a decisive advantage: 8 GB of GDDR6 on a 128-bit bus delivers 192.0 GB/s of dedicated bandwidth, whereas the Arc Pro B370’s memory performance is entirely system dependent. The RTX A1000 also brings 2304 shading units against 1280, 72 texture mapping units against 40, 32 ROPs against 20, 18 ray tracing cores against 10, and 72 tensor cores where the Arc Pro B370 has none listed. The tensor core count is particularly relevant for AI workloads, as the Arc Pro B370 lacks a dedicated tensor core array.

The RTX A1000’s benchmark scores confirm real-world capability. The average score of 34207 and 79th percentile ranking place it above the median GPU. The nearest rival data shows it trading blows with the RTX A2000 12 GB and TITAN V, both of which are discrete desktop-class parts. The Arc Pro B370 has no such validation in the database.

Specification Differences

The two GPUs differ across nearly every major specification. The Intel Arc Pro B370 uses a 3 nm process node from Intel, while the NVIDIA RTX A1000 uses an 8 nm node from Samsung. The RTX A1000 has a known transistor count of 8,700 million on a 200 mm² die with a transistor density of 43.5M per mm². The Arc Pro B370’s transistor count and die size are unknown. Clock speeds diverge sharply: the Arc Pro B370 runs at a 300 MHz base and 2400 MHz boost, while the RTX A1000 runs at 727 MHz base and 1462 MHz boost. The higher boost clock on the Arc Pro B370 partially offsets its lower shader count.

Memory is the most fundamental split. The RTX A1000 has 8 GB of GDDR6 on a 128-bit bus with 192.0 GB/s bandwidth and a memory clock of 1500 MHz (12 Gbps effective). The Arc Pro B370 uses system shared memory, with no dedicated VRAM, no fixed bus width, and bandwidth that varies with the host platform. This makes the RTX A1000 a self-contained solution for graphics workloads, while the Arc Pro B370 depends on the memory bandwidth of the accompanying CPU.

The RTX A1000 has a 50 W TDP and is a single-slot card measuring 163 mm by 69 mm. It uses a PCIe 4.0 x8 interface and has four mini-DisplayPort 1.4a outputs. The Arc Pro B370 has a 25 W TDP, is an integrated graphics processor (IGP), uses no power connectors, and has display outputs that are portable device dependent. The bus interface is listed as IGP, meaning it communicates through the host processor rather than an expansion slot. The RTX A1000 has a suggested PSU of 250 W; the Arc Pro B370 has no suggested PSU listed. The RTX A1000 was released on 2024-04-15, while the Arc Pro B370 was released on 2026-01-26.

Architecture Differences

The architectural split is significant. The Intel Arc Pro B370 uses the Xe3-LPG architecture on the Panther Lake chip, part of the Arc Graphics-WM generation. The NVIDIA RTX A1000 uses the Ampere architecture on the GA107 chip, part of the Workstation Ampere generation. The process nodes differ: 3 nm Intel versus 8 nm Samsung. The Arc Pro B370 has 1280 shading units, 40 TMUs, 20 ROPs, and 10 ray tracing cores, with no tensor cores listed. The RTX A1000 has 2304 shading units, 72 TMUs, 32 ROPs, 18 ray tracing cores, and 72 tensor cores.

The FP16 handling is a key architectural difference. The Arc Pro B370 doubles its FP32 rate to 12.29 TFLOPS in FP16, indicating a packed execution path. The RTX A1000 maintains a 1:1 ratio at 6.737 TFLOPS, meaning it does not gain throughput from half-precision math in the same way. The ray tracing cores also differ: 10 on the Arc Pro B370 versus 18 on the RTX A1000. The RTX A1000’s tensor cores are a distinct feature for AI acceleration, while the Arc Pro B370 has no tensor core count in the data. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The Arc Pro B370’s predecessor is HD Graphics-WM; the RTX A1000’s predecessor is Quadro Turing and its successor is Workstation Ada.

The Verdict

The data points to a clear recommendation for most users, but it depends on the intended workload. The NVIDIA RTX A1000 is the more complete and validated GPU. It has recorded benchmark scores, an average of 34207, and a 79th percentile ranking. It offers higher FP32 throughput, higher texture rate, dedicated 8 GB GDDR6 memory with 192.0 GB/s bandwidth, more shading units, more ray tracing cores, and tensor cores. For professional graphics, rendering, and compute tasks that rely on standard FP32 pipelines, the RTX A1000 is the stronger choice. Its nearest rivals include the RTX A2000 12 GB and TITAN V, which puts it in a competitive league for a low-power discrete card.

The Intel Arc Pro B370 is a different kind of product. As integrated graphics, it is not a direct substitute for a discrete card. Its advantages are limited to FP16 throughput, a slightly higher pixel rate, and a lower TDP. In scenarios where the host system already has ample shared memory bandwidth and the workload is FP16-heavy, the Arc Pro B370 could outperform the RTX A1000 on paper. The 12.29 TFLOPS FP16 figure is substantial, and the 25 W TDP is half that of the RTX A1000. However, the absence of any benchmark scores means there is no measured evidence to confirm real-world behavior. The 50th percentile ranking is not backed by test data, unlike the RTX A1000’s 79th percentile.

The choice between them is not really a choice for a builder selecting a discrete GPU. The RTX A1000 is a standalone card with a fixed memory configuration and proven performance. The Arc Pro B370 is an integrated processor that will appear inside Panther Lake laptops and portable devices, where its performance is tied to the system memory and cooling. For anyone assembling a workstation with a PCIe slot, the RTX A1000 is the only option of the two that fits. For a mobile or ultra-compact platform, the Arc Pro B370 offers integrated graphics with a strong theoretical FP16 capability. The recorded data favors the RTX A1000 in almost every category that matters for general GPU work, and its benchmark results confirm that lead.