| User | teknoseyir |
| Upload Date | October 16 2024 06:31 PM |
| Views | 14 |
| 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Dengeli |
| 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% |
3463
644.1 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
99% |
5584
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5311
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17469
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8818
10.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57167
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
4020
318.9 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (Q)
|
88% |
3410
273.4 IPS |
|
|
Face Detection (SP)
|
100% |
7482
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
7103
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15579
120.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3703
28.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
14859
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36313
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22505
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38619
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7262
268.9 IPS |
|
|
Text Classification (SP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1860
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3930
87.7 IPS |