Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench AI Score
3115
Single Precision Score
1641
Half Precision Score
7153
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 05:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2479
461.1 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
99% |
6699
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8953
145.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5556
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4659
5.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
22072
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (Q)
|
86% |
6869
552.0 IPS |
|
|
Face Detection (SP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
10134
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7094
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2441
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15329
122.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12326
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12311
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29050
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1967
72.8 IPS |
|
|
Text Classification (SP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1507
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2884
58.0 IPS |
