| Upload Date | November 28 2025 12:21 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3036
564.5 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
99% |
5374
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8274
134.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6164
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4006
4.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
18981
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
5233
420.5 IPS |
|
|
Face Detection (SP)
|
100% |
7106
84.4 IPS |
|
|
Face Detection (HP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
7948
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7770
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13054
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14507
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9720
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21463
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4702
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1446
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2834
56.9 IPS |