| User | aidanarcilla |
| Upload Date | March 21 2025 01:52 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1125G4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 3501 |
| Motherboard | Dell Inc. 04507W |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1125G4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1495
278.0 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.9 IPS |
|
|
Image Classification (Q)
|
99% |
3356
626.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1799
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2647
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2127
2.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
8871
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
86% |
3153
253.4 IPS |
|
|
Face Detection (SP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
5233
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3589
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1235
9.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
7392
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6397
8.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4716
6.06 IPS |
|
|
Style Transfer (Q)
|
98% |
11175
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2261
83.7 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
568
758.5 IPS |
|
|
Text Classification (Q)
|
97% |
1083
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
65% |
1760
35.4 IPS |