Apple M2 Max vs Apple M2 Ultra
The M2 Ultra delivers 2.0x the FP32 throughput of the M2 Max (27 vs 14 TFLOPS dense). The M2 Ultra also carries 96 GB more memory (192 GB vs 96 GB).
Apple M2 Max
Full specs →Apple M2 Ultra
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2023: the M2 Max on Apple M2 and the M2 Ultra on Apple M2.
Dense throughput for the M2 Max against the M2 Ultra: FP32 14 vs 27 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 96 GB against 192 GB, fed at 400 GB/s versus 800 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 Max faster than the M2 Ultra?
At FP32 precision the M2 Ultra reaches 27 TFLOPS dense against 14 TFLOPS for the M2 Max. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the M2 Max or the M2 Ultra?
The M2 Ultra carries 192 GB of VRAM versus 96 GB for the M2 Max. Memory bandwidth is 400 GB/s for the M2 Max and 800 GB/s for the M2 Ultra.
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