| User | CSIridges |
| Upload Date | September 10 2025 05:08 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS WIFI D4 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4446
826.8 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (Q)
|
99% |
7609
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12440
202.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10303
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5049
5.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
33240
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
3944
312.8 IPS |
|
|
Object Detection (HP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (Q)
|
86% |
7963
639.9 IPS |
|
|
Face Detection (SP)
|
100% |
11449
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
12128
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11679
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2363
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19932
159.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23711
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12695
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24001
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2363
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5975
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1713
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3768
75.7 IPS |