Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VFG
Geekbench AI Score
12885
Single Precision Score
21084
Half Precision Score
10264
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
5150
957.7 IPS |
|
|
Image Classification (HP)
|
99% |
8480
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
4761
888.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8296
134.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10570
171.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7575
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
67849
79.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
194773
227.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
60375
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
6356
504.2 IPS |
|
|
Object Detection (HP)
|
100% |
10794
856.2 IPS |
|
|
Object Detection (Q)
|
84% |
5656
456.2 IPS |
|
|
Face Detection (SP)
|
100% |
15903
189.0 IPS |
|
|
Face Detection (HP)
|
100% |
23148
275.1 IPS |
|
|
Face Detection (Q)
|
97% |
13874
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30095
231.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
59578
460.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25398
203.6 IPS |
|
|
Style Transfer (SP)
|
100% |
111823
143.8 IPS |
|
|
Style Transfer (HP)
|
100% |
273427
351.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93105
120.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21446
791.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32980
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16180
599.1 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2764
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1434
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1385
26.0 IPS |
