Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9)
Geekbench AI Score
831
Single Precision Score
288
Half Precision Score
1274
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | asknight1 |
| Upload Date | September 30 2024 05:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 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 | 31.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
97% |
848
158.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
952
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
2438
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.68 IPS |
|
|
Object Detection (Q)
|
88% |
564
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
176
2.09 IPS |
|
|
Face Detection (Q)
|
97% |
1653
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1414
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
408
3.14 IPS |
|
|
Depth Estimation (Q)
|
77% |
1812
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2581
3.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1851
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
4245
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1020
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.5 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.0 IPS |
|
|
Text Classification (Q)
|
97% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
60% |
931
20.8 IPS |
