Apple M2 Pro vs Apple M2
The M2 Pro delivers 90% more FP32 throughput than the M2 (6.8 vs 3.6 TFLOPS dense). The M2 Pro also carries 8 GB more memory (32 GB vs 24 GB).
Apple M2 Pro
Full specs →Apple M2
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The M2 Pro is the newer part: Apple M2, launched in 2023, against the M2's Apple M2 from 2022. 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 M2 Pro against the M2: FP32 6.8 vs 3.6 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 32 GB against 24 GB, fed at 200 GB/s versus 100 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?
At FP32 precision the M2 Pro reaches 6.8 TFLOPS dense against 3.6 TFLOPS for the M2. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the M2 Pro or the M2?
The M2 Pro carries 32 GB of VRAM versus 24 GB for the M2. Memory bandwidth is 200 GB/s for the M2 Pro and 100 GB/s for the M2.
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