Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9)
Geekbench AI Score
655
Single Precision Score
641
Half Precision Score
1487
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | raska-vilem |
| Upload Date | December 04 2025 10:07 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% |
571
106.2 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.1 IPS |
|
|
Image Classification (Q)
|
100% |
1168
217.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1217
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
1681
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
88% |
840
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (Q)
|
100% |
2311
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
818
6.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
828
6.38 IPS |
|
|
Depth Estimation (Q)
|
89% |
2186
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1711
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
1690
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
5486
7.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1255
46.5 IPS |
|
|
Text Classification (SP)
|
100% |
634
845.9 IPS |
|
|
Text Classification (HP)
|
100% |
638
851.2 IPS |
|
|
Text Classification (Q)
|
92% |
1126
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
100% |
675
11.6 IPS |
