Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench AI Score
17654
Single Precision Score
29534
Half Precision Score
14286
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alm0421 |
| Upload Date | March 16 2026 11:11 PM |
| 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 | Balanced |
| 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% |
7671
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
12156
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
7015
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12087
195.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15601
252.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11067
179.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
91741
107.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
275627
321.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
83885
98.3 IPS |
|
|
Object Detection (SP)
|
100% |
8404
666.6 IPS |
|
|
Object Detection (HP)
|
100% |
14570
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
7574
609.7 IPS |
|
|
Face Detection (SP)
|
100% |
20724
246.2 IPS |
|
|
Face Detection (HP)
|
100% |
33275
395.4 IPS |
|
|
Face Detection (Q)
|
97% |
18602
221.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42138
324.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83914
646.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
35548
284.1 IPS |
|
|
Style Transfer (SP)
|
100% |
174940
224.9 IPS |
|
|
Style Transfer (HP)
|
100% |
426536
548.3 IPS |
|
|
Style Transfer (Q)
|
98% |
159528
205.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30492
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48732
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22640
838.3 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1853
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1623
30.4 IPS |
