Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VHG
Geekbench AI Score
2084
Single Precision Score
940
Half Precision Score
4058
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | _xKaz |
| Upload Date | March 07 2025 12:52 PM |
| Views | 1 |
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. 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% |
1461
271.7 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.7 IPS |
|
|
Image Classification (Q)
|
99% |
3266
609.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2057
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3300
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2266
2.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
12007
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
86% |
3308
265.8 IPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5476
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4001
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1346
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8901
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8388
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5965
7.67 IPS |
|
|
Style Transfer (Q)
|
98% |
15039
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2710
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
494
659.7 IPS |
|
|
Text Classification (Q)
|
97% |
1137
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (Q)
|
65% |
2013
40.5 IPS |
