Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VEG
Geekbench AI Score
3123
Single Precision Score
1240
Half Precision Score
5841
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 12:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VEG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A2 |
| Power Plan | Bilanciato |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2547
473.7 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (Q)
|
99% |
5099
951.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6558
106.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5085
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3352
3.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
19121
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
86% |
4849
389.7 IPS |
|
|
Face Detection (SP)
|
100% |
7151
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
1253
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
7406
88.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6750
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1798
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12127
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12256
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8382
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16920
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4178
154.7 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
641
856.1 IPS |
|
|
Text Classification (Q)
|
97% |
1228
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
1914
38.5 IPS |
