| User | clewisNMU |
| Upload Date | March 12 2025 04:07 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21HESDJV00 |
| Motherboard | LENOVO 21HESDJV00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1831
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.7 IPS |
|
|
Image Classification (Q)
|
99% |
2932
547.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1729
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3498
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2222
2.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
9552
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
2732
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
4679
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4393
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
970
7.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
7846
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7240
9.31 IPS |
|
|
Style Transfer (HP)
|
100% |
4920
6.32 IPS |
|
|
Style Transfer (Q)
|
98% |
12698
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1036
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2840
105.1 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
590
787.6 IPS |
|
|
Text Classification (Q)
|
97% |
484
648.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
65% |
1544
31.0 IPS |