| Upload Date | October 26 2025 08:09 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED LIFEBOOK U7511 |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB2E7 |
| Power Plan | Mode Gestion de lalimentation dAdvanced SystemCare |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
99% |
1873
349.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
965
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1525
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1362
1.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
5532
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
86% |
1888
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
1875
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.92 IPS |
|
|
Face Detection (Q)
|
97% |
3480
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1891
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
763
5.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
4349
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3808
4.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3086
3.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6169
7.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1238
45.9 IPS |
|
|
Text Classification (SP)
|
100% |
573
765.1 IPS |
|
|
Text Classification (HP)
|
100% |
322
429.6 IPS |
|
|
Text Classification (Q)
|
97% |
647
867.3 IPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (Q)
|
65% |
1201
24.1 IPS |