| User | shaneGH |
| Upload Date | June 27 2025 07:12 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| 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 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% |
1823
339.1 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
4025
750.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
2394
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3850
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3010
3.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
14278
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1836
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
4021
323.1 IPS |
|
|
Face Detection (SP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
6078
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5017
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10290
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9265
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7348
9.45 IPS |
|
|
Style Transfer (Q)
|
98% |
15088
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2959
109.6 IPS |
|
|
Text Classification (SP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
470
627.7 IPS |
|
|
Text Classification (Q)
|
97% |
1100
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2321
46.6 IPS |