| User | Warblood |
| Upload Date | November 19 2025 02:53 PM |
| Views | 5 |
| 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% |
5876
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
931
173.2 IPS |
|
|
Image Classification (Q)
|
99% |
9920
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18214
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15077
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8764
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
50517
59.2 IPS |
|
|
Object Detection (SP)
|
100% |
5666
449.4 IPS |
|
|
Object Detection (HP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (Q)
|
86% |
12550
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
16970
201.6 IPS |
|
|
Face Detection (HP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
14677
175.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17855
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3890
30.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
30238
241.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32997
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22379
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40398
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5277
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6159
228.0 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1847
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4805
96.5 IPS |