Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG
Geekbench AI Score
8044
Single Precision Score
7906
Half Precision Score
15389
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 10 2025 02:13 PM |
| Views | 11 |
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% |
5155
958.6 IPS |
|
|
Image Classification (HP)
|
100% |
5938
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
9742
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7058
114.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4075
66.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12164
197.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11051
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
28774
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4777
378.9 IPS |
|
|
Object Detection (HP)
|
100% |
5516
437.5 IPS |
|
|
Object Detection (Q)
|
88% |
10670
855.3 IPS |
|
|
Face Detection (SP)
|
100% |
14391
171.0 IPS |
|
|
Face Detection (HP)
|
100% |
16933
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
27197
323.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12485
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13022
100.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26937
209.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32487
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23524
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83457
107.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6717
248.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6632
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15412
570.8 IPS |
|
|
Text Classification (SP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5903
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6837
117.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3681
63.4 IPS |
