Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VIG
Geekbench AI Score
2969
Single Precision Score
1304
Half Precision Score
5762
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 03:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VIG |
| Motherboard | Micro-Star International Co., Ltd. MS-15F3 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
99% |
4767
889.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6558
106.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4887
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
17512
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
4521
363.3 IPS |
|
|
Face Detection (SP)
|
100% |
6119
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
7356
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6141
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1925
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11965
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11900
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8684
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18080
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2200
81.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4151
153.7 IPS |
|
|
Text Classification (SP)
|
100% |
1107
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.3 IPS |
|
|
Text Classification (Q)
|
97% |
1099
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2249
45.2 IPS |
