| User | daAlbeshri |
| Upload Date | October 17 2025 01:08 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Plus Laptop 14-ew1xxx |
| Motherboard | HP 8C31 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1486
276.3 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
99% |
3360
626.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
2905
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3263
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2550
2.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
11330
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
86% |
2963
238.1 IPS |
|
|
Face Detection (SP)
|
100% |
3867
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
5239
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4165
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1209
9.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
7579
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7634
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
6146
7.90 IPS |
|
|
Style Transfer (Q)
|
98% |
10309
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3124
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.9 IPS |
|
|
Text Classification (Q)
|
97% |
831
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
65% |
1496
30.1 IPS |