Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVFG
Geekbench AI Score
8839
Single Precision Score
14443
Half Precision Score
6680
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Hochstenbach |
| Upload Date | May 05 2025 07:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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 w/ Radeon 890M |
| 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% |
3488
648.8 IPS |
|
|
Image Classification (HP)
|
100% |
5581
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
3012
560.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4704
76.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5854
94.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3660
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
43844
51.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
99427
116.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31623
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
4154
329.5 IPS |
|
|
Object Detection (Q)
|
87% |
2524
202.7 IPS |
|
|
Face Detection (SP)
|
100% |
6640
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
13718
163.0 IPS |
|
|
Face Detection (Q)
|
97% |
6164
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20664
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34667
267.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
15387
123.4 IPS |
|
|
Style Transfer (SP)
|
100% |
73311
94.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138188
177.6 IPS |
|
|
Style Transfer (Q)
|
98% |
53444
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14640
540.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27126
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9864
365.2 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2096
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3870
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4700
81.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1920
36.0 IPS |
