NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent.

NCNN 20241226

Target: CPU - Model: alexnet

OpenBenchmarking.org metrics for this test profile configuration based on 50 public results since 29 December 2024 with the latest data as of 30 December 2024.

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 9 9950X 16-Core
Zen 5 [16 Cores / 32 Threads]
97th
4
3.3 +/- 0.1
AMD Ryzen Threadripper 7980X 64-Cores
Zen 4 [64 Cores / 128 Threads]
81st
4
4.5 +/- 0.2
AMD Ryzen AI 9 HX 370
Zen 5 [12 Cores / 24 Threads]
81st
3
4.6 +/- 0.2
Mid-Tier
75th
> 4.8
AMD Ryzen AI 9 365
Zen 5 [10 Cores / 20 Threads]
67th
4
5.3 +/- 0.4
AMD Ryzen 7 7840HS
Zen 4 [8 Cores / 16 Threads]
65th
3
5.3 +/- 0.2
Intel Core i7-1280P
Alder Lake [14 Cores / 20 Threads]
59th
3
5.7 +/- 0.1
Median
50th
6.1
Intel Core Ultra 7 155H
Meteor Lake [16 Cores / 22 Threads]
47th
3
6.4 +/- 0.1
2 x AMD EPYC 9654 96-Core
Zen 4 [192 Cores / 384 Threads]
31st
4
10.9 +/- 0.4
2 x AMD EPYC 9684X 96-Core
Zen 4 [192 Cores / 384 Threads]
31st
6
11.2 +/- 0.9
Low-Tier
25th
> 11.6
Intel Core Ultra 9 285K
Arrow Lake [24 Cores / 24 Threads]
15th
4
18.2 +/- 0.5
ARMv8 Neoverse-N1 128-Core
5th
4
37.8 +/- 0.2