| User | SirCee |
| Upload Date | November 26 2025 09:11 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21RLS6F600 |
| Motherboard | LENOVO 21RLS6F600 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
478
89.0 IPS |
|
|
Image Classification (Q)
|
99% |
4890
912.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6437
104.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4024
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1834
2.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
13240
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
86% |
4681
376.2 IPS |
|
|
Face Detection (SP)
|
100% |
5596
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
7345
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5251
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11694
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8936
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5265
6.77 IPS |
|
|
Style Transfer (Q)
|
98% |
15848
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
681
908.7 IPS |
|
|
Text Classification (Q)
|
97% |
1390
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2251
45.2 IPS |