| Upload Date | October 21 2025 11:37 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| 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 i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4447
827.0 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
99% |
7456
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4363
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10477
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4766
5.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
35037
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4148
329.0 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
86% |
7755
623.2 IPS |
|
|
Face Detection (SP)
|
100% |
11456
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
11789
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12694
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2307
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19502
155.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23742
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11813
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28174
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5979
221.4 IPS |
|
|
Text Classification (SP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1935
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3466
69.6 IPS |