Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG
Geekbench AI Score
4212
Single Precision Score
5981
Half Precision Score
2861
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | August 14 2025 01:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2523
469.3 IPS |
|
|
Image Classification (HP)
|
100% |
3728
693.3 IPS |
|
|
Image Classification (Q)
|
99% |
1801
336.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3124
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5102
82.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2131
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8105
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
15745
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
7111
8.33 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
4114
326.3 IPS |
|
|
Object Detection (Q)
|
86% |
1926
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
5300
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
8248
98.0 IPS |
|
|
Face Detection (Q)
|
97% |
3411
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14589
112.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
6327
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25620
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39455
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19776
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4455
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6726
248.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3035
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.0 IPS |
|
|
Text Classification (Q)
|
97% |
674
903.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2110
36.5 IPS |
|
|
Machine Translation (Q)
|
70% |
802
15.1 IPS |
