Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG
Geekbench AI Score
8044
Single Precision Score
9824
Half Precision Score
15057
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 10 2025 02:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-17S3 |
| Power Plan | Dengeli |
| 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% |
5106
949.6 IPS |
|
|
Image Classification (HP)
|
100% |
6859
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9478
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7392
119.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3892
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11053
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34274
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74162
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
4763
377.8 IPS |
|
|
Object Detection (HP)
|
100% |
6159
488.5 IPS |
|
|
Object Detection (Q)
|
87% |
9976
800.6 IPS |
|
|
Face Detection (SP)
|
100% |
14660
174.2 IPS |
|
|
Face Detection (HP)
|
100% |
16475
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
32051
380.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12528
96.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18356
141.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34383
267.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29194
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51694
66.5 IPS |
|
|
Style Transfer (Q)
|
98% |
94680
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6905
255.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14165
523.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23524
871.2 IPS |
|
|
Text Classification (SP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
1993
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4487
77.3 IPS |
