| User | Warblood |
| Upload Date | November 21 2025 12:34 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% |
6057
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
963
179.1 IPS |
|
|
Image Classification (Q)
|
99% |
10702
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3119
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18103
294.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15100
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8792
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
49773
58.4 IPS |
|
|
Object Detection (SP)
|
100% |
5460
433.1 IPS |
|
|
Object Detection (HP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (Q)
|
86% |
12767
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
16814
199.8 IPS |
|
|
Face Detection (HP)
|
100% |
2798
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
14491
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17442
134.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3986
30.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
28205
225.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35409
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22812
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
34534
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5420
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3709
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7644
283.1 IPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1848
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4850
97.5 IPS |