Intel Arc Pro A30M vs NVIDIA T1000 Comparison
Intel Arc Pro A30M
T1000
PERFORMANCE BENCHMARKS
Analysis: Intel Arc Pro A30M vs NVIDIA T1000
Where Each One Wins
The benchmark data splits cleanly here: the NVIDIA T1000 wins the only shared workload in the database, Geekbench OpenCL, with a score of 37704 against Intel Arc Pro A30M's 31894. That is an 18.2% advantage, a decisive margin for the T1000 in general-purpose compute. However, the Intel part counters with a critical specification advantage: it supports hardware ray tracing through 8 dedicated RT cores, a feature entirely absent from the T1000. For workloads that leverage DirectX 12 Ultimate features, the Arc Pro A30M is the only one of the two that can even execute them. The T1000's wins are raw compute throughput and ecosystem maturity; the A30M's wins are modern feature support and architectural headroom. Neither part sweeps every category, but their strengths target different user priorities.
Architecture Differences
The two GPUs come from different design philosophies. The NVIDIA T1000 is built on the Turing architecture, specifically the TU117 chip, fabricated on a 12 nm process at TSMC with 4,700 million transistors on a 200 mm² die. The Intel Arc Pro A30M uses the Xe-HPG architecture, DG2-128 chip, on a 6 nm process also at TSMC, packing 7,200 million transistors into a smaller 157 mm² die. The density difference is stark: 23.5 million transistors per mm² for NVIDIA versus 45.9 million for Intel. That nearly double density reflects the newer process node and Intel's more aggressive design.
Memory configurations are similar in capacity but different in bandwidth. Both have 4 GB of GDDR6, but the T1000 uses a 128 bit bus with 160.0 GB/s bandwidth, while the A30M uses a 64 bit bus with 128.0 GB/s. The T1000 has a wider memory pipe, the A30M has faster per-pin speed: 10 Gbps effective versus 16 Gbps effective. The Intel part compensates with a PCIe 4.0 x8 interface versus PCIe 3.0 x16 on the NVIDIA side, which can matter for data transfer in bandwidth-limited scenarios.
Compute resources favor Intel on paper: 1024 shading units, 64 texture mapping units, and 32 ROPs versus 896 shading units, 56 TMUs, and 32 ROPs for NVIDIA. The A30M's boost clock of 2000 MHz is far higher than the T1000's 1395 MHz, yielding 4.096 TFLOPS FP32 versus 2.500 TFLOPS. The Intel part also has 8 RT cores, which the T1000 lacks entirely. However, the T1000 counters with a lower 50 W TDP matching the A30M's 50 W TDP, and it is a single-slot card with four mini-DisplayPort 1.4a outputs, whereas the A30M's display outputs are portable device dependent.
Head-to-Head Benchmarks
The database records exactly one head-to-head benchmark: Geekbench OpenCL. The NVIDIA T1000 scores 37704, the Intel Arc Pro A30M scores 31894. The delta is 18.2% in favor of NVIDIA. That is a substantial gap, putting the T1000 comfortably ahead in compute-heavy tasks like OpenCL acceleration. To contextualize, the T1000's average benchmark score of 36289 places it in the 80th percentile of all GPUs, while the A30M's 31894 average lands in the 76th percentile. The T1000's closest rivals are the AMD Radeon RX 5300M and NVIDIA GeForce GTX TITAN X, both within 0.7% of its average score, and the AMD Radeon Pro Duo at 1.2% behind, and NVIDIA Quadro GV100 at 2.2% behind. The A30M's nearest rivals include the NVIDIA TITAN RTX at 0.7% ahead, AMD Radeon Pro 570X at 0.9% ahead, NVIDIA RTX PRO 4500 Blackwell at 1.1% ahead, and AMD FirePro S10000 at 1.5% ahead. The A30M's average is lower overall, but its rival cluster is tighter, suggesting it sits in a crowded performance band.
The data shows no benchmark where the A30M wins. The wins tally is 1 for NVIDIA and 0 for Intel. Yet the OpenCL result only captures one dimension. The A30M's architectural features, like ray tracing and higher FP32 throughput, are not reflected in that single test. In theory, the A30M should dominate in FP32 compute workloads based on its 4.096 TFLOPS rating, but the recorded OpenCL score says otherwise. This discrepancy implies either driver maturity issues or that OpenCL does not scale linearly with peak FP32 on this Intel architecture.
The Verdict
Based strictly on the recorded data, the NVIDIA T1000 is the stronger choice for general compute tasks. Its OpenCL score is 18.2% higher, its average benchmark is 36289 versus 31894, and it holds a higher overall percentile ranking at 80 versus 76. The T1000 also offers a wider memory bus, more bandwidth, and a smaller footprint with a single-slot design and four display outputs. Users who prioritize raw compute performance in OpenCL applications should select the T1000.
The Intel Arc Pro A30M is not without merit, but its advantages are architectural rather than performance-based in the tested workload. It has more shading units, higher clocks, more TMUs, and ray tracing support. Its 6 nm process and 7,200 million transistors suggest a more modern design. However, the benchmark data does not show these translating into a win. For users who need DirectX 12 Ultimate features or ray tracing in a mobile form factor, the A30M is the only option between the two. But for anyone measuring performance by the database's benchmarks, the T1000 wins outright.
The production status of both is end-of-life, so neither is a future-proof investment. The T1000 launched on 2021-05-05, the A30M on 2022-08-07. The T1000 has a predecessor in Quadro Volta and a successor in Workstation Ampere, while the A30M has neither. The T1000's longer product history suggests more mature drivers and ecosystem support, which the benchmark evidence supports.
FAQ
Q: Which GPU has the higher Geekbench OpenCL score?
A: The NVIDIA T1000 scores 37704, which is 18.2% higher than the Intel Arc Pro A30M's 31894.
Q: Does the Intel Arc Pro A30M support ray tracing?
A: Yes, it has 8 dedicated RT cores, a feature the NVIDIA T1000 does not have.
Q: What is the memory bandwidth difference between the two?
A: The NVIDIA T1000 has 160.0 GB/s bandwidth on a 128 bit bus, while the Intel Arc Pro A30M has 128.0 GB/s on a 64 bit bus.
Q: How do their overall average benchmark scores compare?
A: The NVIDIA T1000 averages 36289, placing it in the 80th percentile of all GPUs. The Intel Arc Pro A30M averages 31894, placing it in the 76th percentile.
Q: Are both GPUs still in production?
A: No, both are marked as end-of-life in the database.
Q: Which GPU has a higher transistor density?
A: The Intel Arc Pro A30M has 45.9 million transistors per mm² on its 157 mm² die, compared to the NVIDIA T1000's 23.5 million per mm² on a 200 mm² die.
Specification Differences
| Specification | NVIDIA T1000 | Intel Arc Pro A30M |
|----------------|--------------|---------------------|
| Architecture | Turing | Xe-HPG |
| Process Node | 12 nm | 6 nm |
| Transistors | 4,700 million | 7,200 million |
| Die Size | 200 mm² | 157 mm² |
| Transistor Density | 23.5M / mm² | 45.9M / mm² |
| Base Clock | 1065 MHz | 1500 MHz |
| Boost Clock | 1395 MHz | 2000 MHz |
| Memory Clock | 1250 MHz, 10 Gbps effective | 2000 MHz, 16 Gbps effective |
| Memory Bus Width | 128 bit | 64 bit |
| Memory Bandwidth | 160.0 GB/s | 128.0 GB/s |
| Shading Units | 896 | 1024 |
| TMUs | 56 | 64 |
| ROPs | 32 | 32 |
| RT Cores | None | 8 |
| Pixel Rate | 44.64 GPixel/s | 64.00 GPixel/s |
| Texture Rate | 78.12 GTexel/s | 128.0 GTexel/s |
| FP32 | 2.500 TFLOPS | 4.096 TFLOPS |
| FP16 | 5.000 TFLOPS (2:1) | 8.192 TFLOPS (2:1) |
| TDP | 50 W | 50 W |
| Slot Width | Single-slot | Not specified |
| Bus Interface | PCIe 3.0 x16 | PCIe 4.0 x8 |
| Display Outputs | 4x mini-DisplayPort 1.4a | Portable Device Dependent |
| DirectX Support | 12 (12_1) | 12 Ultimate (12_2) |
| Release Date | 2021-05-05 | 2022-08-07 |
| Geekbench OpenCL | 37704 | 31894 |
| Avg Benchmark Score | 36289 | 31894 |
| Percentile | 80 | 76 |