| User | yee245 |
| Upload Date | October 22 2025 08:24 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS IX HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1835
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3421
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
5626
6.65 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.3 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
58% |
1519
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (Q)
|
96% |
4415
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4302
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1594
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5752
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8162
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6299
8.10 IPS |
|
|
Style Transfer (Q)
|
87% |
10407
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1371
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2572
95.3 IPS |
|
|
Text Classification (SP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
734
980.1 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
68% |
1793
34.6 IPS |