| User | phils8s4 |
| Upload Date | December 28 2025 05:38 AM |
| Views | 16 |
| 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% |
3912
727.5 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.5 IPS |
|
|
Image Classification (Q)
|
99% |
7176
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10947
178.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8413
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4999
5.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
28107
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3742
296.9 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (Q)
|
86% |
7813
627.9 IPS |
|
|
Face Detection (SP)
|
100% |
10557
125.4 IPS |
|
|
Face Detection (HP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
11910
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10603
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2570
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18698
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19605
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12094
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30825
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6743
249.7 IPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3892
78.2 IPS |