Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VHG
Geekbench AI Score
5399
Single Precision Score
7897
Half Precision Score
12175
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | _xKaz |
| Upload Date | March 07 2025 01:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4231
786.9 IPS |
|
|
Image Classification (HP)
|
100% |
4936
917.9 IPS |
|
|
Image Classification (Q)
|
100% |
7965
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9086
147.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11236
182.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16086
18.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
17602
20.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
27463
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
2770
219.7 IPS |
|
|
Object Detection (HP)
|
100% |
5115
405.7 IPS |
|
|
Object Detection (Q)
|
88% |
7406
593.5 IPS |
|
|
Face Detection (SP)
|
100% |
7731
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
13625
161.9 IPS |
|
|
Face Detection (Q)
|
100% |
25679
305.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15234
117.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
17257
133.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
22295
173.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24873
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25039
32.2 IPS |
|
|
Style Transfer (Q)
|
98% |
123118
158.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6821
251.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10853
400.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14522
537.8 IPS |
|
|
Text Classification (SP)
|
71% |
1395
2.02 KIPS |
|
|
Text Classification (HP)
|
71% |
1392
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
1489
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2629
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2581
44.5 IPS |
