Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG
Geekbench AI Score
9057
Single Precision Score
9737
Half Precision Score
14987
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | August 14 2025 02:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-17S3 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5812
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
6905
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9611
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7986
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3888
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13463
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34269
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73664
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
5593
443.6 IPS |
|
|
Object Detection (HP)
|
100% |
6129
486.2 IPS |
|
|
Object Detection (Q)
|
87% |
9977
800.7 IPS |
|
|
Face Detection (SP)
|
100% |
15998
190.1 IPS |
|
|
Face Detection (HP)
|
100% |
16351
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
31332
372.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14170
109.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17572
135.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34051
264.9 IPS |
|
|
Style Transfer (SP)
|
100% |
37858
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50470
64.9 IPS |
|
|
Style Transfer (Q)
|
98% |
91069
117.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8055
297.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14189
523.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23583
873.4 IPS |
|
|
Text Classification (SP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2061
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4362
75.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4410
76.0 IPS |
