| User | redviper |
| Upload Date | July 13 2025 08:54 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Komplett KomplettPC |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660-PLUS WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (HP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (Q)
|
99% |
6753
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8325
135.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6650
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4090
4.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
21268
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (Q)
|
86% |
5738
461.1 IPS |
|
|
Face Detection (SP)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
7898
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7352
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2025
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13408
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13585
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9792
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15713
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1382
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2999
60.3 IPS |