Micro-Star International Co., Ltd. Raider 18 HX AI A2XWJG
Geekbench AI Score
7368
Single Precision Score
2512
Half Precision Score
9365
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | usmc362 |
| Upload Date | May 27 2025 05:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider 18 HX AI A2XWJG |
| Motherboard | Micro-Star International Co., Ltd. MS-1824 |
| Power Plan | Advanced SystemCare Power Plan |
| 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% |
5579
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (Q)
|
99% |
9870
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3047
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4756
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16195
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8277
9.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
50991
59.8 IPS |
|
|
Object Detection (SP)
|
100% |
5375
426.4 IPS |
|
|
Object Detection (HP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (Q)
|
86% |
10638
854.9 IPS |
|
|
Face Detection (SP)
|
100% |
15179
180.4 IPS |
|
|
Face Detection (HP)
|
100% |
2595
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
13133
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17471
134.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3578
27.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24991
199.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34779
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20552
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34041
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6728
249.1 IPS |
|
|
Text Classification (SP)
|
100% |
1933
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
642
860.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1187
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4226
84.9 IPS |
