M5 Outpaces Intel

Apple says M5 Pro and M5 Max use an 18‑core CPU configuration with up to a 40‑core GPU, support up to 128 GB unified memory and list peak AI GPU compute at “over 4x” the previous generation in its March 2026 press release. (apple.com)) Apple and reviewers describe the M5 family’s new three‑core CPU design as “super,” “performance,” and “efficiency” cores, with the M5 Pro/Max adding a distinct performance‑core variant aimed at multi‑thread throughput and die density. (9to5mac.com)) Apple’s MLX benchmarks publicly show M5 systems running Qwen 1.7B and 8B models natively and report large performance gains over M4 on those LLM workloads, using the same BF16 and quantized pipelines many inference toolchains employ. (machinelearning.apple.com)) Early community LLM tests on M5 Max laptops configured with 128 GB unified memory have demonstrated the ability to load and run 70B–122B models in quantized setups (MLX/llama.cpp backends), with authors noting unified memory and 614 GB/s bandwidth remove common VRAM bottlenecks seen on discrete‑GPU laptops. (hardware-corner.net)) Independent reviewers have found Intel’s Panther Lake Core Ultra X9 388H ahead in multi‑core CPU benchmarks (Cinebench 24: ~1,285 vs M5’s ~922) and in some 3DMark tests, while several labs still record Apple leads in single‑thread scores and LLM inference per‑watt efficiency. (9to5mac.com)) Review coverage is converging on a split conclusion: Panther Lake shows a multi‑thread and integrated‑GPU uplift in synthetic CPU/3D tests, whereas Apple’s M5 Pro/Max leverage Neural Accelerators per GPU core plus high‑bandwidth unified memory to prioritize compact LLM inference and mixed workloads on laptops. (pcworld.com))