| User | Warblood |
| Upload Date | December 04 2025 05:29 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| 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% |
6106
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
960
178.6 IPS |
|
|
Image Classification (Q)
|
99% |
10728
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18099
294.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15704
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9168
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
51964
60.9 IPS |
|
|
Object Detection (SP)
|
100% |
5861
464.9 IPS |
|
|
Object Detection (HP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (Q)
|
86% |
12953
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
17257
205.1 IPS |
|
|
Face Detection (HP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (Q)
|
97% |
14500
172.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18093
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3944
30.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
28732
229.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34784
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22852
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38355
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5588
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7341
271.8 IPS |
|
|
Text Classification (SP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1146
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1785
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4810
96.7 IPS |