| Upload Date | November 21 2025 02:19 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4523
841.2 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.7 IPS |
|
|
Image Classification (Q)
|
99% |
7581
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13127
213.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11316
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5163
6.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
34477
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4458
353.6 IPS |
|
|
Object Detection (HP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (Q)
|
86% |
8162
656.0 IPS |
|
|
Face Detection (SP)
|
100% |
13223
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
1815
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
12097
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13227
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2437
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18935
151.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25703
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12915
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30080
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2406
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6673
247.1 IPS |
|
|
Text Classification (SP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1488
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3726
74.9 IPS |