Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
5189
Single Precision Score
9875
Half Precision Score
15173
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 21 2025 06:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3155
586.8 IPS |
|
|
Image Classification (HP)
|
100% |
6960
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9702
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3945
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3951
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6251
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
34580
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75106
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
2816
223.3 IPS |
|
|
Object Detection (HP)
|
100% |
6176
489.9 IPS |
|
|
Object Detection (Q)
|
87% |
10022
804.3 IPS |
|
|
Face Detection (SP)
|
100% |
8829
104.9 IPS |
|
|
Face Detection (HP)
|
100% |
16754
199.1 IPS |
|
|
Face Detection (Q)
|
100% |
31457
373.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7833
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18312
141.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
33904
263.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18450
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51340
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
95106
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14263
526.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23768
880.2 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2060
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4228
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4479
77.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4514
77.8 IPS |
