Micro-Star International Co., Ltd. Raider 18 HX AI A2XWJG
Geekbench ML Score
24992
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 11:12 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% |
11121
2.08 KIPS |
|
|
Image Classification (F16)
|
100% |
11160
2.09 KIPS |
|
|
Image Classification (I8)
|
100% |
9659
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18602
310.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
18417
307.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
16905
282.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
205207
248.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
206206
249.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
175618
212.7 IPS |
|
|
Object Detection (F32)
|
100% |
8546
638.0 IPS |
|
|
Object Detection (F16)
|
100% |
8436
629.8 IPS |
|
|
Object Detection (I8)
|
50% |
8159
609.1 IPS |
|
|
Face Detection (F32)
|
100% |
39395
468.4 IPS |
|
|
Face Detection (F16)
|
100% |
39943
474.9 IPS |
|
|
Face Detection (I8)
|
89% |
32960
391.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
76527
593.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
76713
594.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
57497
445.9 IPS |
|
|
Style Transfer (F32)
|
100% |
276131
363.2 IPS |
|
|
Style Transfer (F16)
|
100% |
268983
353.8 IPS |
|
|
Style Transfer (I8)
|
98% |
241617
317.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43868
1.57 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
41475
1.48 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33704
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
3100
4.46 KIPS |
|
|
Text Classification (F16)
|
100% |
3146
4.52 KIPS |
|
|
Text Classification (I8)
|
98% |
1920
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
5211
95.9 IPS |
|
|
Machine Translation (F16)
|
100% |
5180
95.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2910
53.5 IPS |
