| User | Hequaqua |
| Upload Date | December 03 2025 06:47 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5905
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (Q)
|
99% |
10482
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18075
293.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15428
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9336
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
52946
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
5934
470.7 IPS |
|
|
Object Detection (HP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (Q)
|
86% |
12798
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
17739
210.8 IPS |
|
|
Face Detection (HP)
|
100% |
2833
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
14121
168.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18188
140.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3924
30.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
29076
232.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36018
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23200
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42667
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3981
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7613
281.9 IPS |
|
|
Text Classification (SP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1703
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4747
95.4 IPS |