| User | RayanTawfiq |
| Upload Date | November 16 2024 09:26 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion x360 Convertible 14-dw1xxx |
| Motherboard | HP 87F4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
734
136.4 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
99% |
1729
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
972
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1536
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1342
1.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
6314
7.40 IPS |
|
|
Object Detection (SP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
88% |
981
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
97% |
2322
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2106
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
937
7.22 IPS |
|
|
Depth Estimation (Q)
|
77% |
3743
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4083
5.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3323
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
9333
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
701
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1894
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
370
494.4 IPS |
|
|
Text Classification (Q)
|
97% |
315
421.5 IPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.07 IPS |
|
|
Machine Translation (Q)
|
60% |
1103
24.6 IPS |