Apple M5 Ultra vs Apple M3 Ultra
The M5 and the M3 Ultra deliver near-identical FP32 throughput (33 vs 33 TFLOPS dense).
Apple M5 Ultra
Full specs →Apple M3 Ultra
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The M5 is the newer part: Apple M5, launched in 2026, against the M3 Ultra's Apple M3 from 2025. 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 M5 against the M3 Ultra: FP32 33 vs 33 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 512 GB against 512 GB, fed at 1.2 TB/s versus 819 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 M5 faster than the M3 Ultra?
They are close on paper: both deliver about 33 TFLOPS of dense FP32 throughput. Memory, bandwidth, and power are the deciding differences.
Which has more memory, the M5 or the M3 Ultra?
Both GPUs carry 512 GB of VRAM. Memory bandwidth is 1.2 TB/s for the M5 and 819 GB/s for the M3 Ultra.
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