| Upload Date | November 17 2025 08:36 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4507
838.1 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.2 IPS |
|
|
Image Classification (Q)
|
96% |
5086
949.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
6404
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9893
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5116
5.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
16552
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
4107
325.8 IPS |
|
|
Object Detection (HP)
|
100% |
805
63.9 IPS |
|
|
Object Detection (Q)
|
58% |
3675
401.6 IPS |
|
|
Face Detection (SP)
|
100% |
12588
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (Q)
|
96% |
9541
113.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11861
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2296
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
13092
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22839
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12527
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
20945
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4798
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
529
708.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2191
42.3 IPS |