| User | yee245 |
| Upload Date | October 27 2025 09:48 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500T |
| 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 i5-6500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
1308
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
3991
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
58% |
1098
120.0 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
3141
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3159
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1161
8.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
4188
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5886
7.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4494
5.78 IPS |
|
|
Style Transfer (Q)
|
87% |
7814
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
979
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1797
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
516
688.2 IPS |
|
|
Text Classification (Q)
|
97% |
289
387.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1341
25.9 IPS |