| User | gethen | 
| Upload Date | September 05 2025 03:43 AM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel(R) Core(TM) Ultra 5 245KF | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASRock B860I WiFi | 
| Motherboard | ASRock B860I WiFi | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF | 
| Topology | 1 Processor, 14 Cores | 
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 | 
| Base Frequency | 4.20 GHz | 
| Cluster 1 | 6 Cores | 
| Cluster 2 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
4241
 788.7 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
692
 128.7 IPS  | 
|
| 
Image Classification (Q)
 | 
99% | 
9303
 1.74 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
2214
 35.9 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
1373
 22.3 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
3904
 63.5 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
9979
 11.6 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
6504
 7.59 IPS  | 
|
| 
Pose Estimation (Q)
 | 
94% | 
34844
 40.9 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
3942
 312.7 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
815
 64.7 IPS  | 
|
| 
Object Detection (Q)
 | 
86% | 
9780
 786.0 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
10614
 126.1 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
2211
 26.3 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
12016
 143.3 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
12074
 93.0 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
2967
 22.9 IPS  | 
|
| 
Depth Estimation (Q)
 | 
78% | 
19800
 158.0 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
23366
 30.0 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
15869
 20.4 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
24357
 31.4 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
4326
 159.7 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
3078
 113.6 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
5967
 220.9 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
1906
 2.54 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
882
 1.18 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
1962
 2.63 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
2942
 50.7 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
995
 17.1 IPS  | 
|
| 
Machine Translation (Q)
 | 
65% | 
4542
 91.3 IPS  |