| User | gethen |
| Upload Date | September 05 2025 03:43 AM |
| Views | 8 |
| 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 |