| User | Hequaqua |
| Upload Date | December 04 2025 02:13 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Power Plan | High performance |
| 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% |
6122
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
930
173.0 IPS |
|
|
Image Classification (Q)
|
99% |
10725
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18111
294.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15637
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9295
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
52686
61.8 IPS |
|
|
Object Detection (SP)
|
100% |
6039
479.0 IPS |
|
|
Object Detection (HP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (Q)
|
86% |
12744
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
17676
210.0 IPS |
|
|
Face Detection (HP)
|
100% |
2847
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
14661
174.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18289
140.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3938
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
29371
234.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35898
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22645
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42750
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7588
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
2059
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1725
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1611
27.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4873
97.9 IPS |