| User | Opastyler |
| Upload Date | March 04 2026 04:43 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265KF |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5401
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
866
161.1 IPS |
|
|
Image Classification (Q)
|
99% |
9405
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14904
242.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13796
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8184
9.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
45988
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
4896
388.4 IPS |
|
|
Object Detection (HP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (Q)
|
86% |
12145
976.1 IPS |
|
|
Face Detection (SP)
|
100% |
9762
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
13764
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15682
120.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3567
27.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
23190
185.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30191
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19856
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29331
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3128
115.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6291
232.9 IPS |
|
|
Text Classification (SP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1075
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1638
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1466
25.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4382
88.0 IPS |