| User | gagequach |
| Upload Date | May 26 2025 05:33 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 G8 Notebook PC |
| Motherboard | HP 8AB3 |
| Power Plan | HP Optimized (Modern Standby) |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
99% |
3657
682.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2215
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2644
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
8903
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
3396
272.9 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
6030
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3653
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1329
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7908
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6747
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
4604
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
13129
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2575
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
1124
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
621
828.4 IPS |
|
|
Text Classification (Q)
|
97% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
65% |
2280
45.8 IPS |