| Upload Date | October 17 2025 08:21 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KSCTO1WW |
| Motherboard | LENOVO 21KSCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.6 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
4764
888.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7251
117.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4802
5.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3379
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
18130
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.6 IPS |
|
|
Object Detection (HP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (Q)
|
86% |
4772
383.5 IPS |
|
|
Face Detection (SP)
|
100% |
5408
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
7436
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6206
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1733
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11219
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11347
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8103
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15304
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4043
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
1181
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.0 IPS |
|
|
Text Classification (Q)
|
97% |
1155
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2162
43.4 IPS |