| User | ViNsTeR777 |
| Upload Date | November 21 2024 09:27 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3225 |
| 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 i3-3225 |
| 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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
96% |
326
60.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
311
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (Q)
|
87% |
662
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
90% |
276
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
96% |
719
8.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
825
6.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
488
3.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
582
4.65 IPS |
|
|
Style Transfer (SP)
|
100% |
1632
2.10 IPS |
|
|
Style Transfer (HP)
|
100% |
1283
1.65 IPS |
|
|
Style Transfer (Q)
|
87% |
1521
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.0 IPS |
|
|
Text Classification (HP)
|
100% |
220
293.6 IPS |
|
|
Text Classification (Q)
|
97% |
201
269.0 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (Q)
|
60% |
265
5.92 IPS |