Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VFG
Geekbench AI Score
6988
Single Precision Score
10990
Half Precision Score
16542
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 02:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VFG |
| Motherboard | Micro-Star International Co., Ltd. MS-15F4 |
| Power Plan | Alto rendimiento |
| 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% |
5098
948.1 IPS |
|
|
Image Classification (HP)
|
100% |
7384
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
8833
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4064
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10371
168.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13657
221.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19707
23.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
19031
22.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
62594
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
4810
381.6 IPS |
|
|
Object Detection (HP)
|
100% |
7518
596.3 IPS |
|
|
Object Detection (Q)
|
88% |
11458
918.2 IPS |
|
|
Face Detection (SP)
|
100% |
7536
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
15374
182.7 IPS |
|
|
Face Detection (Q)
|
100% |
25589
304.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15938
122.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
28469
220.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
33106
257.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44811
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59442
76.4 IPS |
|
|
Style Transfer (Q)
|
98% |
148657
191.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7822
288.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13077
482.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19753
731.5 IPS |
|
|
Text Classification (SP)
|
71% |
1504
2.18 KIPS |
|
|
Text Classification (HP)
|
71% |
2231
3.23 KIPS |
|
|
Text Classification (Q)
|
92% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3091
53.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3076
53.0 IPS |
