Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVFG
Geekbench AI Score
1644
Single Precision Score
752
Half Precision Score
3222
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 05:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVFG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FK |
| Power Plan | Balanced |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
99% |
3483
649.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1214
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2399
2.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
12144
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
86% |
3773
303.2 IPS |
|
|
Face Detection (SP)
|
100% |
3529
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
762
9.06 IPS |
|
|
Face Detection (Q)
|
97% |
4765
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3611
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
3924
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6601
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
6549
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
18888
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1664
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.8 IPS |
|
|
Text Classification (HP)
|
100% |
355
474.1 IPS |
|
|
Text Classification (Q)
|
97% |
688
921.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.88 IPS |
|
|
Machine Translation (Q)
|
65% |
1543
31.0 IPS |
