| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:07 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 0V31NP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1847
343.5 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (Q)
|
99% |
3754
700.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1869
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2099
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1478
1.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
10381
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
86% |
3126
251.3 IPS |
|
|
Face Detection (SP)
|
100% |
3914
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5586
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3949
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1057
8.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
9487
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6315
8.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3943
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
11835
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2267
84.0 IPS |
|
|
Text Classification (SP)
|
100% |
1142
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
481
641.8 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
65% |
1651
33.2 IPS |