Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWJG
Geekbench AI Score
4779
Single Precision Score
6616
Half Precision Score
3170
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | January 06 2026 07:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWJG |
| Motherboard | Micro-Star International Co., Ltd. MS-1833 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
2813
523.2 IPS |
|
|
Image Classification (HP)
|
100% |
3990
742.1 IPS |
|
|
Image Classification (Q)
|
99% |
2052
382.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3377
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5473
88.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2270
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8483
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
13268
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
7520
8.81 IPS |
|
|
Object Detection (SP)
|
100% |
2986
236.8 IPS |
|
|
Object Detection (HP)
|
100% |
4542
360.3 IPS |
|
|
Object Detection (Q)
|
86% |
2229
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
5916
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
9545
113.4 IPS |
|
|
Face Detection (Q)
|
97% |
3834
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9977
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15742
121.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7124
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26277
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40256
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20011
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4799
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7237
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3222
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
742
993.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2717
47.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1006
18.9 IPS |
