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Benchmark results, Pi 4.

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Robin E. R. Davies
2026-04-21 03:50:26 -04:00
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Benchmark Results: Benchmark Results:
amd64 (Ubuntu 24.04) The benchmark is to run TooB NAM with an A1 model to generate 100s of audio. Lower times are better.
TooB NAM has a compile-time switch that uses either the NeuralAudio NAM implementation or
the Neural Modeler Core NAM implementation.
Results
amd64 (AMD Ryzen 7 7735HS, Ubuntu 24.04 amd64)
NeuralAudio x64: 5.416s NeuralAudio x64: 5.416s
Neural Modeler Core: 7.965s Neural Modeler Core: 7.965s
Compiler options /Ofast, MMX, SSE, SSE2, no AVX.
CPU: AMD Ryzen 7 7735HS with Radeon Graphics aarch64 (Raspberry PI 4, ARM Cortex A72, Raspberry PI OS Bookworm)
OS: Ubuntu 24.04 (amd64) Neural Modeler Core: 92.677s
Neural Modeler Core: 31.589s
Compiler options: -Ofast -march=-mcpu=cortex-a72 -mtune=cortex-a72 -DEIGEN_DEFAULT_L1_CACHE_SIZE=32768
aarch64 (Raspberry PI 5, ARM Cortex A76, Rasperry PI OS Trixie)
Compiler options: -mcpu=cortex-a76 -mtune=cortex-a76 -DEIGEN_DEFAULT_L1_CACHE_SIZE=65536
The Model:
Package: Fender Deluxe Reverb %2765 Reissue %7c Clean %7c SM57 %2b Royer R-121 %2b Room
Model: Fender DRRI %7c Clean %7c Room Only %7c Full Rig
Downloaded from Tone3000.
The model file is attached.
Compilation flags:
/home/robin/Downloads/NAM Test/media/NeuralAmpModels/Fender Deluxe Reverb %2765 Reissue %7c Clean %7c SM57 %2b Royer R-121 %2b Room/