Apple M1 Pro vs Apple M1 Max
The M1 Max delivers 96% more FP32 throughput than the M1 Pro (10 vs 5.3 TFLOPS dense). The M1 Max also carries 32 GB more memory (64 GB vs 32 GB).
Apple M1 Pro
Full specs →Apple M1 Max
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2021: the M1 Pro on Apple M1 and the M1 Max on Apple M1.
Dense throughput for the M1 Pro against the M1 Max: FP32 5.3 vs 10 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 32 GB against 64 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 M1 Pro faster than the M1 Max?
At FP32 precision the M1 Max reaches 10 TFLOPS dense against 5.3 TFLOPS for the M1 Pro. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the M1 Pro or the M1 Max?
The M1 Max carries 64 GB of VRAM versus 32 GB for the M1 Pro. Memory bandwidth is 200 GB/s for the M1 Pro and 400 GB/s for the M1 Max.
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