Micro-Star International Co., Ltd. Raider 18 HX AI A2XWJG
Geekbench AI Score
6874
Single Precision Score
2257
Half Precision Score
9749
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 06:51 AM |
| 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 | Zrwnowaony |
| 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% |
5236
973.7 IPS |
|
|
Image Classification (HP)
|
100% |
790
147.0 IPS |
|
|
Image Classification (Q)
|
99% |
9675
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4305
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14736
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7773
9.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
45196
53.0 IPS |
|
|
Object Detection (SP)
|
100% |
4899
388.6 IPS |
|
|
Object Detection (HP)
|
100% |
853
67.6 IPS |
|
|
Object Detection (Q)
|
86% |
11996
964.1 IPS |
|
|
Face Detection (SP)
|
100% |
14293
169.8 IPS |
|
|
Face Detection (HP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
13681
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16265
125.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3457
26.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
23985
191.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32638
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19560
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28595
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3099
114.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4677
173.2 IPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1730
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3033
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4528
91.0 IPS |
