| Upload Date | December 12 2025 02:02 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus III Formula |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-650 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 5 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DDR |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.8 IPS |
|
|
Image Classification (Q)
|
96% |
370
69.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
344
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
666
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
58% |
269
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
96% |
754
9.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
575
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
420
3.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
740
5.89 IPS |
|
|
Style Transfer (SP)
|
100% |
1097
1.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (Q)
|
87% |
1264
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
236
8.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.8 IPS |
|
|
Text Classification (HP)
|
100% |
213
284.2 IPS |
|
|
Text Classification (Q)
|
97% |
280
374.9 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
68% |
492
9.50 IPS |