| User | ShMz |
| Upload Date | March 20 2025 05:14 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 15-fe0xxx |
| Motherboard | HP 8BDF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
3488
650.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
2172
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3017
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1841
2.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
9567
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
86% |
3246
260.9 IPS |
|
|
Face Detection (SP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (Q)
|
97% |
5037
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3888
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1128
8.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
8866
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7199
9.25 IPS |
|
|
Style Transfer (HP)
|
100% |
4169
5.36 IPS |
|
|
Style Transfer (Q)
|
98% |
9673
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1667
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
505
674.4 IPS |
|
|
Text Classification (Q)
|
97% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
65% |
1353
27.2 IPS |