Intel Arc Pro B70 32GB vs Intel Arc Pro B50 16GB

The Arc Pro B70 is the newer part: Battlemage, launched in 2026, against the Arc Pro B50's Battlemage from 2025. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Dense throughput for the Arc Pro B70 against the Arc Pro B50: FP32 23 vs 11 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 32 GB against 16 GB, fed at 608 GB/s versus 224 GB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

Power budgets are 230 W for the Arc Pro B70 and 70 W for the Arc Pro B50. At FP32 that works out to 0.10 against 0.15 TFLOPS per watt.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.