Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9)
Geekbench AI Score
498
Single Precision Score
178
Half Precision Score
1060
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | raska-vilem |
| Upload Date | December 04 2025 10:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel 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% |
534
99.2 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
97% |
831
155.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
68
1.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
732
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
1604
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.80 IPS |
|
|
Object Detection (Q)
|
86% |
846
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
443
5.27 IPS |
|
|
Face Detection (HP)
|
100% |
92
1.09 IPS |
|
|
Face Detection (Q)
|
97% |
1879
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
796
6.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
238
1.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
1850
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1527
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1153
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
2185
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
252
9.29 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
719
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.6 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.7 IPS |
|
|
Text Classification (Q)
|
97% |
712
953.7 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
131
2.25 IPS |
|
|
Machine Translation (Q)
|
65% |
558
11.2 IPS |
