| Upload Date | August 28 2025 09:31 PM |
| Views | 5 |
| 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 EliteBook 840 14 inch G9 Notebook PC |
| Motherboard | HP 896D |
| 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% |
1178
219.0 IPS |
|
|
Image Classification (HP)
|
100% |
1212
225.4 IPS |
|
|
Image Classification (Q)
|
100% |
1007
187.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1332
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11110
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11425
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5531
6.48 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
98% |
1180
93.9 IPS |
|
|
Object Detection (Q)
|
86% |
1093
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
3169
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
1961
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5554
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6024
46.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3798
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23344
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29437
37.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14526
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3200
118.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1349
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
390
520.4 IPS |
|
|
Text Classification (Q)
|
97% |
431
577.9 IPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
70% |
440
8.24 IPS |