Micro-Star International Co., Ltd. PRO ADL-N Cubi N (MS-B0A9)
Geekbench AI Score
960
Single Precision Score
934
Half Precision Score
1855
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | asknight1 |
| Upload Date | September 30 2024 05:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) 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% |
569
105.8 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
100% |
1139
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1125
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1069
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
838
0.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
2534
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
88% |
1155
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1526
18.1 IPS |
|
|
Face Detection (Q)
|
100% |
2882
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1477
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1422
11.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
3096
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2702
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2835
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
7283
9.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1523
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
672
896.8 IPS |
|
|
Text Classification (HP)
|
100% |
676
901.8 IPS |
|
|
Text Classification (Q)
|
92% |
1122
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1163
20.0 IPS |
