| Upload Date | December 07 2025 05:39 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-860 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P7P55D-E DELUXE |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-860 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 30 Stepping 5 |
| Base Frequency | 3.52 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.4 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.3 IPS |
|
|
Image Classification (Q)
|
96% |
536
100.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
583
9.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
641
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
606
0.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
1024
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
58% |
383
41.8 IPS |
|
|
Face Detection (SP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (Q)
|
96% |
1162
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
894
6.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
521
4.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
1162
9.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1666
2.14 IPS |
|
|
Style Transfer (HP)
|
100% |
1676
2.15 IPS |
|
|
Style Transfer (Q)
|
87% |
2135
2.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
595
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
391
522.0 IPS |
|
|
Text Classification (HP)
|
100% |
214
286.3 IPS |
|
|
Text Classification (Q)
|
97% |
233
311.9 IPS |
|
|
Machine Translation (SP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
68% |
684
13.2 IPS |