| User | daAlbeshri |
| Upload Date | October 16 2025 01:13 PM |
| Views | 9 |
| 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.7 IPS |
|
|
Image Classification (Q)
|
99% |
2292
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
842
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
3588
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3284
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
11785
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
86% |
3002
241.2 IPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
5106
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4085
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1187
9.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
7450
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8046
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6429
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
12356
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2488
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
378
504.6 IPS |
|
|
Text Classification (Q)
|
97% |
748
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (Q)
|
65% |
1230
24.7 IPS |