[2015] Mini PC: MSI Cubi [MS-B09611] MICRO-STAR INTERNATIONAL CO., LTD MS-B09611
Geekbench AI Score
199
Single Precision Score
144
Half Precision Score
298
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | April 15 2025 07:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium 3805U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MICRO-STAR INTERNATIONAL CO., LTD MS-B09611 |
| Motherboard | MICRO-STAR INTERNATIONAL CO., LTD MS-B0961 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium 3805U |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
71
13.2 IPS |
|
|
Image Classification (Q)
|
96% |
198
37.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
200
3.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
210
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
192
0.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
366
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.10 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.15 IPS |
|
|
Object Detection (Q)
|
58% |
144
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (HP)
|
100% |
219
2.60 IPS |
|
|
Face Detection (Q)
|
96% |
479
5.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
291
2.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
208
1.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
439
3.49 IPS |
|
|
Style Transfer (SP)
|
100% |
591
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (Q)
|
87% |
876
1.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
206
7.64 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.6 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.3 IPS |
|
|
Text Classification (Q)
|
97% |
221
296.4 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (Q)
|
68% |
325
6.27 IPS |
