| User | tobyg |
| Upload Date | February 03 2025 04:15 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82K6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (Q)
|
99% |
6004
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
669
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2072
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4142
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3528
4.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
17734
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
86% |
4570
367.3 IPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
7340
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5284
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1702
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12451
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9742
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8645
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18037
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1897
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
709
945.8 IPS |
|
|
Text Classification (Q)
|
97% |
420
562.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2265
45.5 IPS |