| User | gethen |
| Upload Date | December 03 2025 11:16 AM |
| Views | 11 |
| 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. B860I AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B860I AORUS PRO ICE |
| Power Plan | Balanced |
| 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% |
4460
829.5 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.7 IPS |
|
|
Image Classification (Q)
|
99% |
8387
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13611
221.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13145
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6574
7.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
42490
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
3647
289.3 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
86% |
10950
880.0 IPS |
|
|
Face Detection (SP)
|
100% |
12606
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
2043
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
11573
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12880
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2577
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
21658
172.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28576
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19806
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28401
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4014
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5862
217.1 IPS |
|
|
Text Classification (SP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1525
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3208
64.5 IPS |