Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench AI Score
18851
Single Precision Score
30577
Half Precision Score
14859
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alm0421 |
| Upload Date | March 17 2026 01:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
7946
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
12721
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
7269
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12033
195.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15411
249.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11072
180.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
109721
128.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
301556
351.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
94955
111.3 IPS |
|
|
Object Detection (SP)
|
100% |
9058
718.5 IPS |
|
|
Object Detection (HP)
|
100% |
14448
1.15 KIPS |
|
|
Object Detection (Q)
|
85% |
7719
621.4 IPS |
|
|
Face Detection (SP)
|
100% |
21480
255.2 IPS |
|
|
Face Detection (HP)
|
100% |
33701
400.4 IPS |
|
|
Face Detection (Q)
|
97% |
19012
226.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
48134
370.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
89111
686.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
38653
308.9 IPS |
|
|
Style Transfer (SP)
|
100% |
173299
222.8 IPS |
|
|
Style Transfer (HP)
|
100% |
429520
552.2 IPS |
|
|
Style Transfer (Q)
|
98% |
157011
202.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34407
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49571
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24980
925.0 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1810
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1706
32.0 IPS |
