Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VGG
Geekbench AI Score
6393
Single Precision Score
10409
Half Precision Score
17468
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 07:29 AM |
| Views | 22 |
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% |
4785
889.8 IPS |
|
|
Image Classification (HP)
|
100% |
7584
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
9493
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3130
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7013
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12079
195.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19345
22.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
20174
23.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
69895
81.8 IPS |
|
|
Object Detection (SP)
|
100% |
3467
275.0 IPS |
|
|
Object Detection (HP)
|
100% |
7476
593.0 IPS |
|
|
Object Detection (Q)
|
88% |
11169
895.1 IPS |
|
|
Face Detection (SP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
11820
140.4 IPS |
|
|
Face Detection (Q)
|
100% |
24768
294.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11944
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21448
165.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
37199
295.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42950
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63616
81.8 IPS |
|
|
Style Transfer (Q)
|
98% |
165296
213.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9088
335.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14599
539.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22606
837.2 IPS |
|
|
Text Classification (SP)
|
71% |
2119
3.06 KIPS |
|
|
Text Classification (HP)
|
71% |
2745
3.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2832
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2880
49.8 IPS |
|
|
Machine Translation (Q)
|
89% |
3031
52.7 IPS |
