Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VEG
Geekbench AI Score
2818
Single Precision Score
2783
Half Precision Score
6695
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 12:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
1253
232.9 IPS |
|
|
Image Classification (Q)
|
100% |
3404
633.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4202
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3474
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4528
5.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
14620
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (Q)
|
88% |
4215
337.8 IPS |
|
|
Face Detection (SP)
|
100% |
4617
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
4739
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
9723
115.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4674
36.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11353
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12665
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12860
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
45052
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7027
260.3 IPS |
|
|
Text Classification (SP)
|
100% |
1674
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1642
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2998
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1961
33.8 IPS |
