| User | pozdroszejset |
| Upload Date | April 24 2025 11:33 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5910
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
857
159.4 IPS |
|
|
Image Classification (Q)
|
99% |
10334
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3252
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4976
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17488
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8249
9.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
58139
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
5544
439.7 IPS |
|
|
Object Detection (HP)
|
100% |
1125
89.3 IPS |
|
|
Object Detection (Q)
|
86% |
10695
859.5 IPS |
|
|
Face Detection (SP)
|
100% |
16870
200.5 IPS |
|
|
Face Detection (HP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (Q)
|
97% |
14840
176.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19162
147.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3568
27.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
29367
234.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38829
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22204
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44239
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6142
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3945
145.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7242
268.2 IPS |
|
|
Text Classification (SP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1071
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
723
968.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4841
97.3 IPS |