| User | gethen |
| Upload Date | January 15 2026 06:42 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5372
999.0 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.7 IPS |
|
|
Image Classification (Q)
|
99% |
9086
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2654
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16300
265.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12281
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7163
8.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
39863
46.7 IPS |
|
|
Object Detection (SP)
|
100% |
4847
384.5 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
86% |
10370
833.4 IPS |
|
|
Face Detection (SP)
|
100% |
14002
166.4 IPS |
|
|
Face Detection (HP)
|
100% |
2005
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
13329
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12697
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2997
23.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
23693
189.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31814
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17523
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33040
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4692
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3440
127.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7081
262.2 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1606
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2772
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3995
80.3 IPS |