| User | gethen | 
| Upload Date | September 16 2025 02:12 AM | 
| Views | 3 | 
| 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(R) Core(TM) 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% | 
5058
 940.7 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
787
 146.3 IPS  | 
|
| 
Image Classification (Q)
 | 
99% | 
9487
 1.77 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
2225
 36.1 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
1560
 25.3 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
15652
 254.5 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
13394
 15.6 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
7020
 8.19 IPS  | 
|
| 
Pose Estimation (Q)
 | 
94% | 
42088
 49.3 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
4257
 337.7 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
1044
 82.8 IPS  | 
|
| 
Object Detection (Q)
 | 
86% | 
10806
 868.5 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
12249
 145.5 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
2287
 27.2 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
13107
 156.3 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
14082
 108.5 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
3360
 25.9 IPS  | 
|
| 
Depth Estimation (Q)
 | 
78% | 
20253
 161.6 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
27458
 35.3 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
18778
 24.1 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
22291
 28.7 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
4862
 179.5 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
3386
 125.0 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
6884
 254.9 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
1733
 2.31 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
921
 1.23 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
1539
 2.06 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
2857
 49.2 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
1033
 17.8 IPS  | 
|
| 
Machine Translation (Q)
 | 
65% | 
3144
 63.2 IPS  |