Intel Arc Pro B70 Beats RTX 5090D In AI LLM Benchmarks For $999

Intel's Arc Pro B70 delivers AI inference speeds that challenge NVIDIA's top-tier desktop GPUs, offering a high-throughput option for local large language model deployments at a fraction of the cost. Buyers running AI workloads on a budget can now access over 2,300 tokens per second for under $1,000, a performance tier previously reserved for hardware costing four times as much. This shift in price-to-performance ratio makes the Arc Pro B70 a practical choice for developers and enthusiasts who need to run complex models without enterprise-grade budgets.

Intel card delivers higher token throughput than NVIDIA flagship at fraction of the price

The graphics card features 32 GB of VRAM, which allows it to load and run the DeepSeek R1 (Distill Qwen 32B FP16) model effectively. Gunnir tested the card in a quad-GPU configuration to simulate high-concurrency server environments, pitting the Intel hardware against the NVIDIA RTX 5090D 32 GB and the RTX 4090D 24 GB. The test setup focused on token throughput, measuring how many tokens the system could generate per second under varying loads.

Specifications

• VRAM: 32 GB
• Tested LLM: DeepSeek R1 (Distill Qwen 32B FP16)
• Max Token Throughput: 2320.76 tokens/s
• Price: $999 US

At a concurrency level of 128, the Arc Pro B70 achieved a token throughput that was 8.6% higher than the RTX 5090D and 34.2% higher than the RTX 4090D. As the load increased to 256 and 512 concurrent requests, the Intel card maintained its lead, running up to 7.5% faster than the RTX 5090D and 48.7% faster than the RTX 4090D. The hardware maxed out at a peak speed of 2320.76 tokens/s during these tests, demonstrating strong scaling under heavy AI workloads.

The Arc Pro B70 is listed for $999 US at Newegg, which sits significantly below the RTX 5090D that costs over $4,000 and the RTX 4090D that costs over $2,000. This pricing strategy positions the Intel card as a high-value alternative for users who prioritize raw LLM throughput per dollar spent. We've been tracking Arc Pro B70 closely — see our earlier coverage on Sparkle Intel Arc Pro B70 32.

The Arc Pro B70 offers a compelling entry point for local AI inference, combining 32 GB of memory with competitive throughput speeds at a sub-$1,000 price point. The benchmark results suggest that Intel's architecture can outperform NVIDIA's flagship desktop GPUs in specific high-concurrency LLM scenarios, providing a viable path for cost-conscious AI builders.