Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
8621
Single Precision Score
10280
Half Precision Score
15940
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 11:33 AM |
| Views | 6 |
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 A2XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| Power Plan | High performance |
| 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% |
4699
873.9 IPS |
|
|
Image Classification (HP)
|
100% |
7260
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10019
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8023
130.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14222
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35107
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75686
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
5853
464.3 IPS |
|
|
Object Detection (HP)
|
100% |
6199
491.7 IPS |
|
|
Object Detection (Q)
|
88% |
10526
843.9 IPS |
|
|
Face Detection (SP)
|
100% |
15929
189.3 IPS |
|
|
Face Detection (HP)
|
100% |
18343
218.0 IPS |
|
|
Face Detection (Q)
|
100% |
34218
406.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13316
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18639
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34462
268.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34637
44.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54756
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
98126
126.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8202
302.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16340
603.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31764
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4610
79.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4656
80.2 IPS |
