Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
8467
Single Precision Score
9739
Half Precision Score
15036
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:23 AM |
| Views | 10 |
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 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% |
5817
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
7083
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9722
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7660
124.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13343
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34018
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75219
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
5440
431.5 IPS |
|
|
Object Detection (HP)
|
100% |
6201
491.9 IPS |
|
|
Object Detection (Q)
|
87% |
9893
794.0 IPS |
|
|
Face Detection (SP)
|
100% |
15272
181.5 IPS |
|
|
Face Detection (HP)
|
100% |
16069
190.9 IPS |
|
|
Face Detection (Q)
|
100% |
31860
378.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13505
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17817
137.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33130
257.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25025
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49602
63.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93592
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8438
311.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14166
523.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23174
858.2 IPS |
|
|
Text Classification (SP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2025
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2050
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4415
76.0 IPS |
