Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
8909
Single Precision Score
9075
Half Precision Score
16126
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5832
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
6633
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
10574
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7916
128.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4457
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12608
204.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13693
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13424
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31020
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
5385
427.2 IPS |
|
|
Object Detection (HP)
|
100% |
6885
546.1 IPS |
|
|
Object Detection (Q)
|
88% |
11441
917.1 IPS |
|
|
Face Detection (SP)
|
100% |
15223
180.9 IPS |
|
|
Face Detection (HP)
|
100% |
19154
227.6 IPS |
|
|
Face Detection (Q)
|
100% |
29070
345.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13960
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16297
125.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
31050
241.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37695
48.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24024
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92029
118.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8519
314.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8278
305.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17760
657.7 IPS |
|
|
Text Classification (SP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6101
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7185
123.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2794
48.1 IPS |
