| User | phils8s4 |
| Upload Date | December 28 2025 04:26 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE AX ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3875
720.6 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.5 IPS |
|
|
Image Classification (Q)
|
99% |
6916
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10751
174.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8286
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4804
5.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
28424
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3672
291.3 IPS |
|
|
Object Detection (HP)
|
100% |
897
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
7505
603.2 IPS |
|
|
Face Detection (SP)
|
100% |
10262
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
2004
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
11781
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10310
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2597
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17994
143.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19200
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11595
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29305
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3344
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2345
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6585
243.8 IPS |
|
|
Text Classification (SP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3809
76.5 IPS |