Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9)
Geekbench AI Score
718
Single Precision Score
694
Half Precision Score
1534
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | raska-vilem |
| Upload Date | December 04 2025 09:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9) |
| Motherboard | Micro-Star International Co., Ltd. MS-B0A91 |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
574
106.7 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.3 IPS |
|
|
Image Classification (Q)
|
100% |
1173
218.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1222
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
574
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
528
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
1646
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
88% |
981
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
100% |
2415
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
847
6.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
828
6.38 IPS |
|
|
Depth Estimation (Q)
|
89% |
2397
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1702
2.19 IPS |
|
|
Style Transfer (HP)
|
100% |
1779
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
5384
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1254
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.0 IPS |
|
|
Text Classification (HP)
|
100% |
665
887.0 IPS |
|
|
Text Classification (Q)
|
92% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
100% |
760
13.1 IPS |
