Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
4071
Single Precision Score
5786
Half Precision Score
2815
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:22 AM |
| Views | 6 |
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% |
2441
453.9 IPS |
|
|
Image Classification (HP)
|
100% |
3620
673.1 IPS |
|
|
Image Classification (Q)
|
99% |
1772
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2988
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5035
81.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2064
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8158
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16040
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
7155
8.38 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
3962
314.3 IPS |
|
|
Object Detection (Q)
|
86% |
1861
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
5196
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
8095
96.2 IPS |
|
|
Face Detection (Q)
|
97% |
3274
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8617
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14091
108.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6293
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25944
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40024
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19547
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6646
245.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3013
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.8 IPS |
|
|
Text Classification (Q)
|
97% |
653
874.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1993
34.5 IPS |
|
|
Machine Translation (Q)
|
70% |
810
15.2 IPS |
