Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VFG
Geekbench AI Score
2511
Single Precision Score
8341
Half Precision Score
12604
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VFG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A2 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
5770
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7933
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2889
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3313
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
30260
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
64174
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
100% |
4975
394.6 IPS |
|
|
Object Detection (Q)
|
88% |
7848
629.2 IPS |
|
|
Face Detection (SP)
|
100% |
4319
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
13908
165.3 IPS |
|
|
Face Detection (Q)
|
100% |
24378
289.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4193
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16824
129.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30177
234.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12704
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
47730
61.4 IPS |
|
|
Style Transfer (Q)
|
98% |
85446
110.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13673
504.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25607
948.3 IPS |
|
|
Text Classification (SP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1911
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2851
49.1 IPS |
