Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
4113
Single Precision Score
5743
Half Precision Score
2817
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 10:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2456
456.8 IPS |
|
|
Image Classification (HP)
|
100% |
3634
675.9 IPS |
|
|
Image Classification (Q)
|
99% |
1730
322.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3065
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4884
79.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2105
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8155
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
15861
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
7169
8.40 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
3885
308.2 IPS |
|
|
Object Detection (Q)
|
86% |
1854
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
5156
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
8208
97.5 IPS |
|
|
Face Detection (Q)
|
97% |
3365
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13855
107.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6250
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25726
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39589
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19710
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6651
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3014
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
583
778.3 IPS |
|
|
Text Classification (Q)
|
97% |
656
879.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2046
35.4 IPS |
|
|
Machine Translation (Q)
|
70% |
795
14.9 IPS |
