[2015] Mini PC: MSI Cubi [MS-B09611] MICRO-STAR INTERNATIONAL CO., LTD MS-B09611
Geekbench AI Score
199
Single Precision Score
199
Half Precision Score
342
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | April 15 2025 06:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Pentium(R) 3805U @ 1.90GHz |
| 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% |
127
23.7 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (Q)
|
100% |
216
40.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
245
3.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
203
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
204
0.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
425
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.45 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.45 IPS |
|
|
Object Detection (Q)
|
87% |
217
17.4 IPS |
|
|
Face Detection (SP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (HP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (Q)
|
97% |
602
7.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
292
2.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
291
2.24 IPS |
|
|
Depth Estimation (Q)
|
81% |
540
4.26 IPS |
|
|
Style Transfer (SP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
505
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1279
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.79 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
259
9.58 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.6 IPS |
|
|
Text Classification (HP)
|
100% |
152
203.0 IPS |
|
|
Text Classification (Q)
|
91% |
222
298.2 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
100% |
192
3.31 IPS |
