Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG
Geekbench AI Score
6043
Single Precision Score
2334
Half Precision Score
10123
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 10 2025 02:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4792
891.1 IPS |
|
|
Image Classification (HP)
|
100% |
832
154.8 IPS |
|
|
Image Classification (Q)
|
99% |
8790
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14607
237.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12248
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6815
7.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
37625
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
4574
362.8 IPS |
|
|
Object Detection (HP)
|
100% |
1067
84.6 IPS |
|
|
Object Detection (Q)
|
86% |
9747
783.3 IPS |
|
|
Face Detection (SP)
|
100% |
13451
159.8 IPS |
|
|
Face Detection (HP)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
12363
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13232
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3245
25.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22036
175.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25108
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16610
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24499
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3075
113.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6164
228.2 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1487
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3926
78.9 IPS |
