Micro-Star International Co., Ltd. Stealth A16 AI+ A3HWHG
Geekbench AI Score
1737
Single Precision Score
1751
Half Precision Score
4106
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 11:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3HWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1152
214.2 IPS |
|
|
Image Classification (HP)
|
100% |
1274
237.0 IPS |
|
|
Image Classification (Q)
|
100% |
2742
509.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3001
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2140
2.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
7846
9.19 IPS |
|
|
Object Detection (SP)
|
100% |
984
78.1 IPS |
|
|
Object Detection (HP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (Q)
|
88% |
2922
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (Q)
|
100% |
3660
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2486
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2818
21.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
6566
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5879
7.56 IPS |
|
|
Style Transfer (HP)
|
100% |
5755
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
20602
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1223
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3228
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
1192
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
92% |
2023
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2238
38.5 IPS |
