| User | phils8s4 |
| Upload Date | December 29 2025 06:25 AM |
| Views | 13 |
| 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% |
3923
729.5 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
99% |
7253
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10970
178.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8341
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4828
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
26413
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.2 IPS |
|
|
Object Detection (Q)
|
86% |
7669
616.4 IPS |
|
|
Face Detection (SP)
|
100% |
10669
126.8 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
10747
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10792
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2411
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17750
141.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19506
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11837
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27963
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3094
114.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6576
243.5 IPS |
|
|
Text Classification (SP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3312
66.5 IPS |