Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVFG
Geekbench AI Score
5389
Single Precision Score
5423
Half Precision Score
14727
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Hochstenbach |
| Upload Date | May 05 2025 07:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 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% |
3164
588.4 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.6 IPS |
|
|
Image Classification (Q)
|
100% |
10093
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3858
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3744
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10534
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6988
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
7557
8.82 IPS |
|
|
Pose Estimation (Q)
|
98% |
32491
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3103
246.2 IPS |
|
|
Object Detection (HP)
|
100% |
3028
240.1 IPS |
|
|
Object Detection (Q)
|
88% |
8340
668.5 IPS |
|
|
Face Detection (SP)
|
100% |
6411
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
26393
313.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9184
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9352
72.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
25608
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21249
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21443
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81680
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4616
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4604
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14961
554.1 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
3922
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4241
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5145
88.6 IPS |
