Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWJG
Geekbench AI Score
7683
Single Precision Score
8059
Half Precision Score
15727
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | January 06 2026 07:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 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% |
4995
929.0 IPS |
|
|
Image Classification (HP)
|
100% |
5675
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
10297
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6711
108.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3846
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12284
199.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11563
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11335
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29544
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4668
370.3 IPS |
|
|
Object Detection (HP)
|
100% |
5681
450.6 IPS |
|
|
Object Detection (Q)
|
88% |
11180
896.2 IPS |
|
|
Face Detection (SP)
|
100% |
14270
169.6 IPS |
|
|
Face Detection (HP)
|
100% |
16815
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
28417
337.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12110
93.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13502
104.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
30127
234.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29363
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26599
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
84259
108.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6440
237.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6810
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16631
615.9 IPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3240
4.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5797
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6174
106.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3186
54.9 IPS |
