| Upload Date | November 23 2025 12:18 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock Z890 Taichi OCF |
| Motherboard | ASRock Z890 Taichi OCF |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5183
963.9 IPS |
|
|
Image Classification (HP)
|
100% |
885
164.6 IPS |
|
|
Image Classification (Q)
|
99% |
10363
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10069
163.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11550
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7719
9.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
39546
46.4 IPS |
|
|
Object Detection (SP)
|
100% |
4855
385.1 IPS |
|
|
Object Detection (HP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (Q)
|
86% |
10400
835.9 IPS |
|
|
Face Detection (SP)
|
100% |
13696
162.7 IPS |
|
|
Face Detection (HP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
12690
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14170
109.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3566
27.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24291
193.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25536
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17566
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29281
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3396
125.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6398
236.9 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1090
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
779
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4344
87.3 IPS |