Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions.

Mobile Neural Network 3.0

Model: SqueezeNetV1.0

OpenBenchmarking.org metrics for this test profile configuration based on 39 public results since 18 November 2024 with the latest data as of 20 January 2025.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Component

Details

Percentile Rank

# Compatible Public Results

ms (Average)

AMD Ryzen 7 9800X3D 8-Core

Zen 5 [8 Cores / 16 Threads]

93rd

1.348 ^{+/- 0.009}

ARMv8 Neoverse-V2 72-Core

85th

1.781 ^{+/- 0.012}