For the baseline you need SIMDe headers: https://github.com/simd-everywhere/simde/tree/master/simde. These alias x86 intrinsics to ARM intrinsics. The baseline is based on the previous State-of-The-Art (https://arxiv.org/abs/1209.2137) which happens to be x86-based; using SIMDe to compile was the highest-integrity way I could think of to compare with the previous SOTA.
Note: M1 chips specifically have notoriously bad small-shift performance, so the benchmark results will be very bad on your machine. M3 partially fixed this, M4 fixed completely. My primary target is server-class rather than consumer-class hardware so I'm not too worried about this.
The benchmark results were cpy-pasted from the terminal. The README prose was AI generated from my rough notes (I'm confident when communicating with other experts/researchers, but less-so with communication to a general audience).
$ ./out/bytepack_eval
Bytepack Bench — 16 KiB, reps=20000 (pinned if available)
Throughput GB/s
K NEON pack NEON unpack Baseline pack Baseline unpack
1 94.77 84.05 45.01 63.12
2 123.63 94.74 52.70 66.63
3 94.62 83.89 45.32 68.43
4 112.68 77.91 58.10 78.20
5 86.96 80.02 44.32 60.77
6 93.50 92.08 51.22 67.20
7 87.10 79.53 43.94 57.95
8 90.49 92.36 68.99 83.88
I think part of the issue with architects and designers today is that they use CAD too much. It's easy to design boxes and basic roof lines in CAD. It's harder to put in curves and more craftsman features. Nano Banana's renders have more organic design features IMO.
Our house is looking great and we're very happy how it's going so far with a lot of the thanks to Nano Banana.
I find it does a good job at isometric views from floor plans. However, I needed Gemini 3.1 Pro to be able to have a chance at rendering 3D human point of view images from floor plans.