| Upload Date | September 02 2025 09:11 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Elite Dragonfly 13.5 inch G3 Notebook PC |
| Motherboard | HP 897F |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1265U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1171
217.8 IPS |
|
|
Image Classification (HP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (Q)
|
100% |
1007
187.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1358
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11132
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11421
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5540
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
98% |
1182
94.0 IPS |
|
|
Object Detection (Q)
|
86% |
1113
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (Q)
|
97% |
2018
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5547
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6053
46.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3813
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23686
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29937
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14662
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3213
118.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1348
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
392
522.7 IPS |
|
|
Text Classification (Q)
|
97% |
438
586.7 IPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
70% |
437
8.19 IPS |