| User | richh- |
| Upload Date | December 26 2024 12:33 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1185G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise Evaluation (64-bit) |
| Model | LENOVO 20XWCTO1WW |
| Motherboard | LENOVO 20XWCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
622
115.6 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (Q)
|
99% |
1457
271.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
633
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
868
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
840
0.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
4176
4.90 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (Q)
|
86% |
1527
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (Q)
|
97% |
3137
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1498
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
4292
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2675
3.44 IPS |
|
|
Style Transfer (HP)
|
100% |
2063
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
6068
7.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1468
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
631
841.9 IPS |
|
|
Text Classification (HP)
|
100% |
392
523.6 IPS |
|
|
Text Classification (Q)
|
97% |
270
362.2 IPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (Q)
|
65% |
1000
20.1 IPS |