Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench AI Score
2841
Single Precision Score
1433
Half Precision Score
6715
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alm0421 |
| Upload Date | March 17 2026 12:34 AM |
| 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 | Ultimate Performance |
| 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% |
2523
469.2 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
99% |
6913
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9295
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5487
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4591
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
17558
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
5662
455.1 IPS |
|
|
Face Detection (SP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
8762
104.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5426
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1951
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12832
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10282
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10043
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25466
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3018
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
709
946.2 IPS |
|
|
Text Classification (Q)
|
97% |
1282
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2636
53.0 IPS |
