| Upload Date | November 17 2025 12:24 AM |
| 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% |
710
132.0 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (Q)
|
99% |
1562
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
2193
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1448
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1450
1.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
6074
7.12 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
86% |
1703
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
1398
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (Q)
|
97% |
4462
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2438
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
930
7.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
6051
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4396
5.65 IPS |
|
|
Style Transfer (HP)
|
100% |
3404
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
8437
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2849
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
415
553.5 IPS |
|
|
Text Classification (Q)
|
97% |
952
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
65% |
1094
22.0 IPS |