Apple M2 Pro vs Apple M2 Max
The M2 Max delivers 2.0x the FP32 throughput of the M2 Pro (14 vs 6.8 TFLOPS dense). The M2 Max also carries 64 GB more memory (96 GB vs 32 GB).
Apple M2 Pro
Full specs →Apple M2 Max
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2023: the M2 Pro on Apple M2 and the M2 Max on Apple M2.
Dense throughput for the M2 Pro against the M2 Max: FP32 6.8 vs 14 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 32 GB against 96 GB, fed at 200 GB/s versus 400 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.
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.
Frequently asked questions
Is the M2 Pro faster than the M2 Max?
At FP32 precision the M2 Max reaches 14 TFLOPS dense against 6.8 TFLOPS for the M2 Pro. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the M2 Pro or the M2 Max?
The M2 Max carries 96 GB of VRAM versus 32 GB for the M2 Pro. Memory bandwidth is 200 GB/s for the M2 Pro and 400 GB/s for the M2 Max.
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