| User | MiSA |
| Upload Date | December 01 2025 06:50 PM |
| Views | 9 |
| 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. B860M GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M GAMING X WIFI6E |
| Power Plan | Kiegyenslyozott |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5867
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
881
163.9 IPS |
|
|
Image Classification (Q)
|
99% |
9686
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16272
264.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14667
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8486
9.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
46266
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
5385
427.2 IPS |
|
|
Object Detection (HP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (Q)
|
86% |
11979
962.7 IPS |
|
|
Face Detection (SP)
|
100% |
14001
166.4 IPS |
|
|
Face Detection (HP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
13916
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16272
125.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3404
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
23849
190.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32373
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21867
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22697
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6893
255.2 IPS |
|
|
Text Classification (SP)
|
100% |
1880
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1705
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4661
93.6 IPS |