Apple M1 Max vs Apple M1
The M1 Max delivers 4.0x the FP32 throughput of the M1 (10 vs 2.6 TFLOPS dense). The M1 Max also carries 48 GB more memory (64 GB vs 16 GB).
Apple M1 Max
Full specs →Apple M1
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The M1 Max is the newer part: Apple M1, launched in 2021, against the M1's Apple M1 from 2020. 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 M1 Max against the M1: FP32 10 vs 2.6 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 64 GB against 16 GB, fed at 400 GB/s versus 67 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 Max faster than the M1?
At FP32 precision the M1 Max reaches 10 TFLOPS dense against 2.6 TFLOPS for the M1. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the M1 Max or the M1?
The M1 Max carries 64 GB of VRAM versus 16 GB for the M1. Memory bandwidth is 400 GB/s for the M1 Max and 67 GB/s for the M1.
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