Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWJG
Geekbench AI Score
33155
Single Precision Score
57119
Half Precision Score
25393
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | January 06 2026 07:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| 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% |
13082
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
20501
3.81 KIPS |
|
|
Image Classification (Q)
|
100% |
11458
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25821
418.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36739
595.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23224
377.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
204958
239.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
639711
746.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
175590
205.7 IPS |
|
|
Object Detection (SP)
|
100% |
16893
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
25359
2.01 KIPS |
|
|
Object Detection (Q)
|
86% |
14695
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
50131
595.7 IPS |
|
|
Face Detection (HP)
|
100% |
73895
878.0 IPS |
|
|
Face Detection (Q)
|
97% |
41967
500.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
78966
608.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
162223
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60925
486.5 IPS |
|
|
Style Transfer (SP)
|
100% |
297238
382.1 IPS |
|
|
Style Transfer (HP)
|
100% |
987984
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
267850
345.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46352
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77143
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36434
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2167
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6739
116.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6783
116.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3003
56.3 IPS |
