Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench AI Score
17900
Single Precision Score
30498
Half Precision Score
14721
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alm0421 |
| Upload Date | March 17 2026 12:31 AM |
| Views | 4 |
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% |
7581
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
12188
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
7013
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12011
194.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15514
251.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10895
177.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
104543
122.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
298803
348.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
92966
108.9 IPS |
|
|
Object Detection (SP)
|
100% |
8826
700.1 IPS |
|
|
Object Detection (HP)
|
100% |
14737
1.17 KIPS |
|
|
Object Detection (Q)
|
85% |
7826
630.0 IPS |
|
|
Face Detection (SP)
|
100% |
20767
246.8 IPS |
|
|
Face Detection (HP)
|
100% |
33200
394.5 IPS |
|
|
Face Detection (Q)
|
97% |
18921
225.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
47497
365.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87292
672.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37645
300.9 IPS |
|
|
Style Transfer (SP)
|
100% |
172209
221.4 IPS |
|
|
Style Transfer (HP)
|
100% |
427537
549.6 IPS |
|
|
Style Transfer (Q)
|
98% |
158868
204.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34782
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49898
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24645
912.6 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1862
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1656
31.1 IPS |
