| User | shaneGH |
| Upload Date | June 27 2025 06:02 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (HP)
|
100% |
2779
516.9 IPS |
|
|
Image Classification (Q)
|
100% |
520
96.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4061
65.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
611
9.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
5994
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
9898
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
5318
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
2821
224.4 IPS |
|
|
Object Detection (Q)
|
86% |
508
40.9 IPS |
|
|
Face Detection (SP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
4480
53.2 IPS |
|
|
Face Detection (Q)
|
97% |
790
9.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
3058
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10809
83.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
2581
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16612
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28645
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
13219
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3255
120.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2301
85.2 IPS |
|
|
Text Classification (SP)
|
86% |
631
853.3 IPS |
|
|
Text Classification (HP)
|
99% |
572
763.1 IPS |
|
|
Text Classification (Q)
|
84% |
348
472.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
70% |
653
12.3 IPS |