Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench AI Score
8996
Single Precision Score
13446
Half Precision Score
6696
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alm0421 |
| Upload Date | March 17 2026 12:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| 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% |
3225
599.8 IPS |
|
|
Image Classification (HP)
|
100% |
4786
890.0 IPS |
|
|
Image Classification (Q)
|
100% |
2933
545.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4821
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5510
89.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3926
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
41170
48.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
78305
91.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
31302
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3197
253.6 IPS |
|
|
Object Detection (HP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (Q)
|
87% |
2992
240.3 IPS |
|
|
Face Detection (SP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
13067
155.3 IPS |
|
|
Face Detection (Q)
|
97% |
5602
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20669
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
31294
241.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
15429
123.7 IPS |
|
|
Style Transfer (SP)
|
100% |
75275
96.8 IPS |
|
|
Style Transfer (HP)
|
100% |
131197
168.7 IPS |
|
|
Style Transfer (Q)
|
98% |
53899
69.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15565
574.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25835
954.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10253
379.7 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1744
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4165
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4527
78.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2017
37.8 IPS |
