Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VGG
Geekbench AI Score
7650
Single Precision Score
12054
Half Precision Score
18196
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Remembered2U |
| Upload Date | January 01 2025 12:55 PM |
| Views | 2 |
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 A1VGG |
| Motherboard | Micro-Star International Co., Ltd. MS-15F4 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5217
970.2 IPS |
|
|
Image Classification (HP)
|
100% |
7830
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
9396
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4292
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10390
168.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14892
241.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22379
26.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23039
27.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
77147
90.3 IPS |
|
|
Object Detection (SP)
|
100% |
4887
387.6 IPS |
|
|
Object Detection (HP)
|
100% |
7833
621.3 IPS |
|
|
Object Detection (Q)
|
88% |
11130
891.9 IPS |
|
|
Face Detection (SP)
|
100% |
8643
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
17081
203.0 IPS |
|
|
Face Detection (Q)
|
100% |
29125
346.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18501
142.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
33399
258.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
38687
300.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51836
66.6 IPS |
|
|
Style Transfer (HP)
|
100% |
68736
88.4 IPS |
|
|
Style Transfer (Q)
|
98% |
170763
220.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9420
347.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14559
537.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22323
826.7 IPS |
|
|
Text Classification (SP)
|
71% |
1472
2.13 KIPS |
|
|
Text Classification (HP)
|
71% |
2572
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2589
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2440
42.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3006
52.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2979
51.3 IPS |
