| User | usmc362 |
| Upload Date | May 27 2025 05:20 PM |
| Views | 6 |
| 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 |
| 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 |