Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWIG
Geekbench AI Score
4580
Single Precision Score
1799
Half Precision Score
7905
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 02:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-1833 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3685
685.3 IPS |
|
|
Image Classification (HP)
|
100% |
643
119.6 IPS |
|
|
Image Classification (Q)
|
99% |
6353
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11357
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9541
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5374
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
29045
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3277
259.9 IPS |
|
|
Object Detection (HP)
|
100% |
815
64.7 IPS |
|
|
Object Detection (Q)
|
86% |
7478
601.0 IPS |
|
|
Face Detection (SP)
|
100% |
10469
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
9200
109.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10160
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2469
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15469
123.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21412
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13900
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26177
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3099
114.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4758
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2798
56.2 IPS |
