Micro-Star International Co., Ltd. Raider 18 HX AI A2XWIG
Geekbench AI Score
9229
Single Precision Score
10039
Half Precision Score
15362
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 04:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider 18 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-1824 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6087
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
7066
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9764
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8221
133.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3937
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14685
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34564
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75149
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
5752
456.2 IPS |
|
|
Object Detection (HP)
|
100% |
6174
489.7 IPS |
|
|
Object Detection (Q)
|
87% |
9930
797.0 IPS |
|
|
Face Detection (SP)
|
100% |
16215
192.7 IPS |
|
|
Face Detection (HP)
|
100% |
17317
205.8 IPS |
|
|
Face Detection (Q)
|
100% |
32464
385.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14968
115.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19288
148.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
35408
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41494
53.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53480
68.7 IPS |
|
|
Style Transfer (Q)
|
98% |
98870
127.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8338
307.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14263
526.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23698
877.6 IPS |
|
|
Text Classification (SP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2072
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4574
78.8 IPS |
