Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG
Geekbench AI Score
8447
Single Precision Score
8376
Half Precision Score
14768
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 12:07 PM |
| 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 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% |
5555
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
6311
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
9716
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7652
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4411
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11993
194.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13133
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12711
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29576
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4941
391.9 IPS |
|
|
Object Detection (HP)
|
100% |
5807
460.6 IPS |
|
|
Object Detection (Q)
|
88% |
9491
760.9 IPS |
|
|
Face Detection (SP)
|
100% |
14462
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
17306
205.6 IPS |
|
|
Face Detection (Q)
|
100% |
24530
291.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12932
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14463
111.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25858
201.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35775
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24489
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
76871
99.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7050
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6927
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14548
538.8 IPS |
|
|
Text Classification (SP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5889
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6300
108.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3612
62.2 IPS |
