Micro-Star International Co., Ltd. Raider 18 HX AI A2XWJG
Geekbench AI Score
31678
Single Precision Score
54167
Half Precision Score
24677
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 06:56 AM |
| Views | 2 |
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. 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% |
12560
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
18611
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
10762
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25387
411.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
37266
604.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22835
371.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
194387
226.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
580771
677.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
166718
195.3 IPS |
|
|
Object Detection (SP)
|
100% |
16838
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
25164
2.00 KIPS |
|
|
Object Detection (Q)
|
86% |
14577
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
49513
588.3 IPS |
|
|
Face Detection (HP)
|
100% |
75413
896.1 IPS |
|
|
Face Detection (Q)
|
97% |
41890
499.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
77507
597.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
162264
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59887
478.2 IPS |
|
|
Style Transfer (SP)
|
100% |
289884
372.7 IPS |
|
|
Style Transfer (HP)
|
100% |
955755
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
266519
343.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44231
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73212
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35035
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2023
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6268
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6364
109.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2959
55.5 IPS |
