Micro-Star International Co., Ltd. Raider 18 HX AI A2XWJG
Geekbench ML Score
24983
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 11:24 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider 18 HX AI A2XWJG |
| 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 |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11148
2.09 KIPS |
|
|
Image Classification (F16)
|
100% |
10963
2.05 KIPS |
|
|
Image Classification (I8)
|
100% |
9819
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18692
312.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
18550
309.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
17204
287.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
206262
249.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
205263
248.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
175656
212.7 IPS |
|
|
Object Detection (F32)
|
100% |
8446
630.6 IPS |
|
|
Object Detection (F16)
|
100% |
8348
623.2 IPS |
|
|
Object Detection (I8)
|
50% |
8004
597.5 IPS |
|
|
Face Detection (F32)
|
100% |
39806
473.3 IPS |
|
|
Face Detection (F16)
|
100% |
39075
464.6 IPS |
|
|
Face Detection (I8)
|
89% |
33242
395.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
72793
564.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
75738
587.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
58645
454.8 IPS |
|
|
Style Transfer (F32)
|
100% |
275817
362.8 IPS |
|
|
Style Transfer (F16)
|
100% |
277715
365.3 IPS |
|
|
Style Transfer (I8)
|
98% |
247770
325.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43649
1.56 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42148
1.51 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33842
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
3117
4.48 KIPS |
|
|
Text Classification (F16)
|
100% |
3042
4.37 KIPS |
|
|
Text Classification (I8)
|
98% |
1891
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
5270
97.0 IPS |
|
|
Machine Translation (F16)
|
100% |
5189
95.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2921
53.7 IPS |
