| User | Hequaqua |
| Upload Date | December 03 2025 11:25 AM |
| Views | 11 |
| 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% |
6170
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
954
177.5 IPS |
|
|
Image Classification (Q)
|
99% |
10577
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18299
297.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15692
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9252
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
53003
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
5997
475.7 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
86% |
12452
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
17754
211.0 IPS |
|
|
Face Detection (HP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
14474
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18375
141.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4003
30.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
29983
239.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36586
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23134
29.7 IPS |
|
|
Style Transfer (Q)
|
98% |
43576
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5951
220.3 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1119
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1831
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4910
98.7 IPS |