| User | Ventangelo |
| Upload Date | December 27 2025 03:14 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860 Steel Legend WiFi |
| Motherboard | ASRock B860 Steel Legend WiFi |
| Power Plan | High performance |
| 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% |
4575
850.8 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (Q)
|
99% |
8424
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15786
256.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11459
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6995
8.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
37122
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (Q)
|
86% |
9669
777.1 IPS |
|
|
Face Detection (SP)
|
100% |
12875
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
12676
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14314
110.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3324
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20314
162.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26673
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16931
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26774
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3304
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2729
100.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6522
241.5 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4314
86.7 IPS |