| User | teknoseyir |
| Upload Date | October 17 2024 12:23 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2538
471.9 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
99% |
5167
963.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4049
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9715
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6914
8.07 IPS |
|
|
Pose Estimation (Q)
|
95% |
31534
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2955
234.4 IPS |
|
|
Object Detection (HP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (Q)
|
88% |
2609
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
5757
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
2184
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
5856
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9759
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2947
22.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11416
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22322
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15139
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27373
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2961
109.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4568
169.1 IPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3376
75.3 IPS |