| Upload Date | November 15 2025 03:20 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| 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% |
4760
885.2 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
99% |
7738
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12445
202.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10687
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5382
6.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
35181
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
4530
359.3 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
86% |
7967
640.3 IPS |
|
|
Face Detection (SP)
|
100% |
14359
170.6 IPS |
|
|
Face Detection (HP)
|
100% |
2035
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
12456
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13122
101.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2710
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19545
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24869
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13393
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30920
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2552
94.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6845
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3675
73.8 IPS |