| User | GENiEBEN |
| Upload Date | October 02 2025 07:01 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Taichi |
| Motherboard | ASRock Z890 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6165
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
949
176.5 IPS |
|
|
Image Classification (Q)
|
99% |
10825
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3342
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19388
315.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17212
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8947
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
57478
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
5960
472.8 IPS |
|
|
Object Detection (HP)
|
100% |
1284
101.9 IPS |
|
|
Object Detection (Q)
|
86% |
13015
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
18514
220.0 IPS |
|
|
Face Detection (HP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (Q)
|
97% |
14863
177.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18800
144.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3982
30.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
29923
238.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39567
50.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22754
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38072
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4001
147.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8045
297.9 IPS |
|
|
Text Classification (SP)
|
100% |
2005
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1145
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1749
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1675
28.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4745
95.3 IPS |