| User | ViNsTeR777 |
| Upload Date | November 05 2024 09:33 PM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3220 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus IV Extreme-Z |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3220 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
96% |
309
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
298
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (Q)
|
87% |
638
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
90% |
268
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
772
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (Q)
|
96% |
726
8.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
811
6.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
465
3.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
588
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
1599
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1248
1.60 IPS |
|
|
Style Transfer (Q)
|
87% |
1511
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
362
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.9 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.8 IPS |
|
|
Text Classification (Q)
|
97% |
197
263.5 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
60% |
266
5.93 IPS |