| User | z1phos |
| Upload Date | May 03 2025 02:13 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 81LK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1124
209.1 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (Q)
|
96% |
1861
347.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
1378
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2477
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
4516
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (Q)
|
58% |
1330
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
1603
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
737
8.75 IPS |
|
|
Face Detection (Q)
|
96% |
3414
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3117
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
4155
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6077
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
4942
6.35 IPS |
|
|
Style Transfer (Q)
|
87% |
6357
8.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1128
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1543
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.3 IPS |
|
|
Text Classification (Q)
|
97% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
68% |
1317
25.4 IPS |