| User | noderaser |
| Upload Date | December 05 2024 09:58 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 5480 AIO |
| Motherboard | Dell Inc. 05T2V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
96% |
2506
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
1151
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2652
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2233
2.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
5895
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (Q)
|
58% |
1466
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (Q)
|
96% |
3918
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3533
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
5248
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7258
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
5802
7.46 IPS |
|
|
Style Transfer (Q)
|
87% |
8108
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1769
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.7 IPS |
|
|
Text Classification (Q)
|
97% |
322
431.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (Q)
|
68% |
1283
24.8 IPS |