| Upload Date | November 09 2025 09:50 AM |
| Views | 6 |
| 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 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Power Plan | Balanced |
| 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% |
4689
872.0 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.3 IPS |
|
|
Image Classification (Q)
|
99% |
7986
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13298
216.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10660
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4977
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
34202
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
4346
344.7 IPS |
|
|
Object Detection (HP)
|
100% |
853
67.6 IPS |
|
|
Object Detection (Q)
|
86% |
8450
679.1 IPS |
|
|
Face Detection (SP)
|
100% |
12982
154.3 IPS |
|
|
Face Detection (HP)
|
100% |
2127
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
13052
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13064
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2397
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
20658
164.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24402
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12057
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30887
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2341
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6882
254.8 IPS |
|
|
Text Classification (SP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1718
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2524
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3965
79.7 IPS |