Micro-Star International Co., Ltd. Stealth A16 AI+ A3XWHG
Geekbench AI Score
8602
Single Precision Score
14281
Half Precision Score
6277
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 07:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FL |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2452
456.0 IPS |
|
|
Image Classification (HP)
|
100% |
5822
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
2250
418.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4883
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6632
107.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4071
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47073
54.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
103843
121.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
35780
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
3495
277.2 IPS |
|
|
Object Detection (Q)
|
87% |
2158
173.3 IPS |
|
|
Face Detection (SP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
11639
138.3 IPS |
|
|
Face Detection (Q)
|
97% |
5692
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22257
171.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29497
227.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16045
128.7 IPS |
|
|
Style Transfer (SP)
|
100% |
80539
103.5 IPS |
|
|
Style Transfer (HP)
|
100% |
149242
191.9 IPS |
|
|
Style Transfer (Q)
|
98% |
59040
76.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15772
582.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29397
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8146
301.6 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3465
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1936
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4827
83.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1579
29.6 IPS |
