Intel Arc A730M vs NVIDIA RTX A1000 Comparison

Intel Arc A730M and NVIDIA RTX A1000 occupy different tiers of the mobile and workstation GPU landscape, and the recorded benchmark data shows a clear overall winner: the Intel Arc A730M. Across all three head-to-head tests in the database, the Arc A730M posts higher scores, with margins ranging from roughly 30% to nearly 79%. However, the two cards are not interchangeable; the RTX A1000 is a lower-power, single-slot solution with a different architectural focus, while the Arc A730M is a larger, more heavily equipped part with higher raw throughput. The data indicates that anyone prioritizing raw performance in compute and graphics workloads should lean toward the Intel part, while the NVIDIA card remains a compact option with a distinct feature set for specific workstation environments.

Where Each One Wins

The Intel Arc A730M wins every benchmark in the head-to-head comparison, making it the straightforward choice for performance-oriented tasks. Its most dominant victory comes in 3DMark Steel Nomad DX12, where it scores 1732 against the RTX A1000’s 969, a 78.7% advantage. This test stresses modern DirectX 12 rendering pipelines, and the Arc A730M’s higher pixel rate, texture rate, and FP32 throughput translate directly into a massive lead. For users running demanding 3D applications, game engines, or real-time rendering workloads, the Arc A730M is clearly the faster option.

The RTX A1000 does not win any of the three recorded benchmarks, but its strengths lie elsewhere. It draws only 50 W compared to the Arc A730M’s 80 W, and it is a single-slot card with no power connectors, making it far easier to integrate into compact workstations or small-form-factor systems. The data shows that its average benchmark score of 34207 is lower than the Arc A730M’s 45592, but it also sits in the 79th percentile of all GPUs, which means it is still a capable performer for its class. The RTX A1000 also has 72 tensor cores, which the Arc A730M lacks entirely, suggesting an edge in AI-accelerated workloads that the current benchmark suite does not directly measure.

For compute tasks like OpenCL and Vulkan, the Arc A730M’s wins are substantial but less extreme. In Geekbench OpenCL, it scores 70352 versus 52078, a 35.1% lead, and in Geekbench Vulkan it scores 64693 versus 49574, a 30.5% lead. These results indicate that the Arc A730M’s advantage is not confined to a single API; it consistently outperforms across different compute frameworks. The RTX A1000, meanwhile, offers a balanced feature set with 1:1 FP16 performance, which could be preferable for workloads that require precise half-precision math, though the Arc A730M has much higher raw FP16 throughput at 25.19 TFLOPS versus 6.737 TFLOPS.

Architecture Differences

The two GPUs come from different architectural generations and process nodes. Intel’s Arc A730M uses the DG2-512 chip built on Xe-HPG architecture, manufactured on a 6 nm process at TSMC. The die is large at 406 mm² and packs 21,700 million transistors, resulting in a density of 53.4 million transistors per mm². NVIDIA’s RTX A1000 uses the GA107 chip based on Ampere architecture, fabricated on an 8 nm process at Samsung. Its die is smaller at 200 mm² with 8,700 million transistors, giving a density of 43.5 million per mm². The Intel part is fundamentally a bigger, more transistor-rich design.

Memory configurations also differ significantly. The Arc A730M has 12 GB of GDDR6 on a 192-bit bus, delivering 336.0 GB/s of bandwidth. The RTX A1000 has 8 GB of GDDR6 on a 128-bit bus, with 192.0 GB/s of bandwidth. This means the Intel card offers 50% more memory capacity and 75% more bandwidth, which is critical for large datasets, high-resolution textures, and multi-application workflows. The RTX A1000’s smaller memory pool may constrain performance in memory-heavy tasks, even if its compute architecture is efficient.

The compute units diverge in scale. The Arc A730M has 3072 shading units, 192 TMUs, and 96 ROPs, while the RTX A1000 has 2304 shading units, 72 TMUs, and 32 ROPs. The Intel card also has 24 ray tracing cores, compared to 18 on the NVIDIA part. However, the RTX A1000 includes 72 tensor cores, which the Arc A730M does not have, giving NVIDIA a hardware advantage for deep learning inference and training tasks. The Arc A730M’s FP32 throughput is 12.60 TFLOPS versus 6.737 TFLOPS for the RTX A1000, and its FP16 output is 25.19 TFLOPS (2:1) versus 6.737 TFLOPS (1:1). The Intel card also has a higher boost clock at 2050 MHz versus 1462 MHz, and a higher pixel rate at 196.8 GPixel/s versus 46.78 GPixel/s.

Head-to-Head Benchmarks

The 3DMark Steel Nomad DX12 test delivers the largest gap. The Arc A730M scores 1732, while the RTX A1000 scores 969, a 78.7% delta. This is a decisive margin that reflects the Intel card’s superior pixel rate and texture rate, which are roughly 4.2x and 3.7x higher respectively. In real-world terms, this means the Arc A730M is far more capable at handling modern rendering effects like ray tracing and high-detail geometry, though the test itself does not isolate those features.

Geekbench OpenCL shows a 35.1% lead for the Arc A730M, with scores of 70352 versus 52078. OpenCL is a general-purpose compute API, and the Arc A730M’s higher shading unit count and FP32 output contribute to its advantage. The RTX A1000’s tensor cores do not accelerate OpenCL in the same way they accelerate CUDA-based AI workloads, so this test largely measures raw shader throughput, where Intel wins decisively.

Geekbench Vulkan shows a 30.5% lead for the Arc A730M, with scores of 64693 versus 49574. Vulkan is a low-overhead graphics and compute API, and the Intel part’s larger memory bandwidth and higher clock speeds help it maintain a solid edge. The RTX A1000’s 1:1 FP16 ratio does not provide a benefit here, as Vulkan workloads typically rely on FP32 performance. Across all three tests, the Arc A730M wins by an average margin that aligns with its 33% higher average benchmark score (45592 versus 34207).

FAQ

Q: Which GPU has a higher average benchmark score?

A: The Intel Arc A730M has an average benchmark score of 45592, while the NVIDIA RTX A1000 has 34207. The Arc A730M also ranks in the 84th percentile of all GPUs, compared to the 79th percentile for the RTX A1000.

Q: How much faster is the Arc A730M in DirectX 12 workloads?

A: In the 3DMark Steel Nomad DX12 test, the Arc A730M scores 1732 versus 969 for the RTX A1000, a 78.7% improvement. This is the largest head-to-head margin in the recorded data.

Q: Does the RTX A1000 have any hardware features that the Arc A730M lacks?

A: Yes, the RTX A1000 has 72 tensor cores, while the Arc A730M has none. The RTX A1000 also supports FP16 at a 1:1 ratio, whereas the Arc A730M uses a 2:1 ratio.

Q: What are the memory capacity and bandwidth differences?

A: The Arc A730M has 12 GB of GDDR6 memory with 336.0 GB/s bandwidth on a 192-bit bus. The RTX A1000 has 8 GB of GDDR6 with 192.0 GB/s bandwidth on a 128-bit bus.

Q: Which card is more power-efficient based on the data?

A: The RTX A1000 has a lower TDP of 50 W compared to 80 W for the Arc A730M. The RTX A1000 also has no power connectors and a suggested PSU of 250 W, while the Arc A730M is an IGP with no external power connector listed.

Q: How do their closest rivals compare?

A: The Arc A730M’s nearest rival is the NVIDIA RTX A2000, which scores 46043, a 1% delta from the Intel card. The RTX A1000’s nearest rival is the NVIDIA RTX A2000 12 GB, with a score of 34154 and a 0.2% delta, indicating the RTX A1000 is closely matched with other mid-range workstation cards.

Specification Differences

The two GPUs differ in nearly every measurable specification. The Arc A730M uses a 6 nm process from TSMC, while the RTX A1000 uses an 8 nm process from Samsung. The Intel chip has 21,700 million transistors on a 406 mm² die, versus 8,700 million on 200 mm² for NVIDIA. The Arc A730M has a base clock of 1100 MHz and a boost clock of 2050 MHz, while the RTX A1000 runs at 727 MHz base and 1462 MHz boost. Memory differs: 12 GB versus 8 GB, 192-bit versus 128-bit bus, and 336.0 GB/s versus 192.0 GB/s bandwidth. The Arc A730M has 3072 shading units, 192 TMUs, and 96 ROPs, compared to 2304, 72, and 32 respectively. Ray tracing cores number 24 versus 18, and only the RTX A1000 has tensor cores at 72. Pixel rate is 196.8 GPixel/s versus 46.78 GPixel/s, and texture rate is 393.6 GTexel/s versus 105.3 GTexel/s. FP32 output is 12.60 TFLOPS versus 6.737 TFLOPS, and FP16 output is 25.19 TFLOPS versus 6.737 TFLOPS. TDP is 80 W versus 50 W, and the slot width is IGP versus single-slot. The bus interface is PCIe 4.0 x16 versus PCIe 4.0 x8, and display outputs are portable device dependent versus 4x mini-DisplayPort 1.4a. The Arc A730M is end-of-life, while the RTX A1000 is active with a release date of 2024-04-15.

The Verdict

The Intel Arc A730M is the performance winner in every recorded benchmark, making it the obvious choice for users who need maximum speed in DirectX 12, OpenCL, and Vulkan workloads. Its 78.7% lead in 3DMark Steel Nomad DX12 is especially compelling for 3D rendering and gaming applications, and its larger memory capacity and bandwidth provide headroom for complex scenes and large datasets. The Arc A730M also ranks higher overall, sitting in the 84th percentile of all GPUs versus the 79th percentile for the RTX A1000.

The NVIDIA RTX A1000 is not without merit. It operates at a lower 50 W TDP, fits in a single slot, and requires no power connectors, making it ideal for compact workstations or systems with tight power budgets. Its 72 tensor cores offer acceleration for AI workloads that the Arc A730M cannot match, and its 1:1 FP16 ratio means precise half-precision math is available without performance penalties. For users who prioritize these features over raw compute throughput, the RTX A1000 remains a relevant option, especially in professional environments where NVIDIA’s software ecosystem is preferred.

The data does not support choosing the RTX A1000 for performance alone; the Arc A730M is faster by double-digit percentages across the board. However, the choice ultimately depends on the workload. If the priority is maximum speed in graphics and compute, the Arc A730M wins. If the priority is a low-power, single-slot form factor with tensor core support, the RTX A1000 is the better fit. The recorded benchmarks are unambiguous: the Arc A730M leads in all measurable tests, and the RTX A1000’s advantages are architectural and physical, not performance-based.