| User | falken1 |
| Upload Date | August 24 2024 10:49 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.5 IPS |
|
|
Image Classification (Q)
|
97% |
3453
644.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
2463
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9623
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7466
8.71 IPS |
|
|
Pose Estimation (Q)
|
87% |
16400
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2782
220.7 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
86% |
2262
181.9 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (Q)
|
96% |
4605
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9608
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1003
7.73 IPS |
|
|
Depth Estimation (Q)
|
76% |
7771
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21892
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17440
22.4 IPS |
|
|
Style Transfer (Q)
|
87% |
20114
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3710
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
710
947.1 IPS |
|
|
Text Classification (Q)
|
97% |
501
670.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2269
50.6 IPS |