Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWIG
Geekbench AI Score
27352
Single Precision Score
48546
Half Precision Score
21181
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 02:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| 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% |
11279
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
18858
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
10226
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22204
360.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34077
552.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19481
316.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
140582
164.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
394373
460.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
127123
148.9 IPS |
|
|
Object Detection (SP)
|
100% |
13882
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
24352
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
11663
937.0 IPS |
|
|
Face Detection (SP)
|
100% |
41855
497.3 IPS |
|
|
Face Detection (HP)
|
100% |
65087
773.4 IPS |
|
|
Face Detection (Q)
|
97% |
35480
423.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
62103
478.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
122966
947.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
48487
387.3 IPS |
|
|
Style Transfer (SP)
|
100% |
236539
304.1 IPS |
|
|
Style Transfer (HP)
|
100% |
792876
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
206487
266.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36958
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69067
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29028
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2035
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
6404
110.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6571
113.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2933
55.0 IPS |
