| User | IHP48 |
| Upload Date | November 13 2025 10:10 AM |
| Views | 4 |
| 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 | LENOVO 21RQCTO1WW |
| Motherboard | LENOVO 21RQCTO1WW |
| 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 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3854
716.8 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
99% |
6516
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11661
189.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8217
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5153
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
31631
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3293
261.2 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
7464
599.9 IPS |
|
|
Face Detection (SP)
|
100% |
9584
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
9823
117.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10019
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2313
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17704
141.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20173
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10210
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20631
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3311
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5254
194.6 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3100
62.3 IPS |