Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VFG
Geekbench AI Score
7502
Single Precision Score
11806
Half Precision Score
17587
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5154
958.5 IPS |
|
|
Image Classification (HP)
|
100% |
7648
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
9167
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10409
168.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15161
245.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21912
25.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
22106
25.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
73270
85.8 IPS |
|
|
Object Detection (SP)
|
100% |
4663
369.9 IPS |
|
|
Object Detection (HP)
|
100% |
7449
590.9 IPS |
|
|
Object Detection (Q)
|
88% |
10328
827.6 IPS |
|
|
Face Detection (SP)
|
100% |
9180
109.1 IPS |
|
|
Face Detection (HP)
|
100% |
17495
207.9 IPS |
|
|
Face Detection (Q)
|
100% |
28027
333.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17276
133.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
30558
236.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
37027
287.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51468
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
68965
88.7 IPS |
|
|
Style Transfer (Q)
|
98% |
165176
213.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8238
304.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15237
562.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21844
809.0 IPS |
|
|
Text Classification (SP)
|
71% |
1580
2.29 KIPS |
|
|
Text Classification (HP)
|
71% |
2537
3.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2516
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2818
48.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2858
49.2 IPS |
