Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
8376
Single Precision Score
9641
Half Precision Score
14848
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5893
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6907
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9486
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6701
108.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3900
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13691
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34107
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73584
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
5312
421.3 IPS |
|
|
Object Detection (HP)
|
100% |
6100
483.8 IPS |
|
|
Object Detection (Q)
|
87% |
9890
793.7 IPS |
|
|
Face Detection (SP)
|
100% |
14966
177.8 IPS |
|
|
Face Detection (HP)
|
100% |
15784
187.5 IPS |
|
|
Face Detection (Q)
|
100% |
31166
370.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14022
108.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17692
136.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33265
258.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30851
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49478
63.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90765
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8489
313.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14002
517.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23344
864.5 IPS |
|
|
Text Classification (SP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2009
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2626
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4385
75.5 IPS |
