Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VHG
Geekbench AI Score
2184
Single Precision Score
2206
Half Precision Score
5146
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | _xKaz |
| Upload Date | March 07 2025 12:55 PM |
| Views | 1 |
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. Stealth 16 AI Studio A1VHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15F3 |
| Power Plan | High performance |
| 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% |
1089
202.6 IPS |
|
|
Image Classification (HP)
|
100% |
1131
210.3 IPS |
|
|
Image Classification (Q)
|
100% |
3037
564.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3421
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
11039
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1187
94.1 IPS |
|
|
Object Detection (HP)
|
100% |
1221
96.9 IPS |
|
|
Object Detection (Q)
|
88% |
2962
237.5 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
7422
88.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3413
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3488
26.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
8561
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9255
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9345
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31014
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5446
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
1274
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2496
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1432
24.7 IPS |
