| User | SaneWolf |
| Upload Date | June 17 2025 12:43 PM |
| Views | 4 |
| 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. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5496
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
845
157.2 IPS |
|
|
Image Classification (Q)
|
99% |
10099
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5767
93.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13638
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8254
9.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
46078
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
5169
410.0 IPS |
|
|
Object Detection (HP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (Q)
|
86% |
12094
972.0 IPS |
|
|
Face Detection (SP)
|
100% |
14288
169.8 IPS |
|
|
Face Detection (HP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
13945
166.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16002
123.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3632
28.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
27431
218.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30297
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21181
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32973
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6915
256.0 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1915
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4306
86.5 IPS |