Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG
Geekbench AI Score
5414
Single Precision Score
8751
Half Precision Score
13206
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | August 14 2025 02:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-17S3 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3829
712.0 IPS |
|
|
Image Classification (HP)
|
100% |
5839
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
7615
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3892
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8715
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10938
177.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11211
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
10205
11.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
34640
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (HP)
|
100% |
5231
415.0 IPS |
|
|
Object Detection (Q)
|
88% |
9155
733.6 IPS |
|
|
Face Detection (SP)
|
100% |
7880
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
15446
183.5 IPS |
|
|
Face Detection (Q)
|
100% |
24916
296.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11961
92.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
21615
167.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24426
189.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27872
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37686
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
80595
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9040
333.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13861
513.3 IPS |
|
|
Text Classification (SP)
|
71% |
1498
2.17 KIPS |
|
|
Text Classification (HP)
|
71% |
2360
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2520
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3612
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3565
61.6 IPS |
