| User | Roman3349 |
| Upload Date | March 23 2026 11:52 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-2100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z68AP-D3 |
| Motherboard | Gigabyte Technology Co., Ltd. Z68AP-D3 |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.35 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
96% |
292
54.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
311
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
526
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
58% |
209
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (Q)
|
96% |
689
8.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
741
5.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
424
3.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
645
5.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1378
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1122
1.44 IPS |
|
|
Style Transfer (Q)
|
87% |
1229
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
252
9.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
332
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
318
424.4 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.7 IPS |
|
|
Text Classification (Q)
|
97% |
182
244.3 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.71 IPS |
|
|
Machine Translation (Q)
|
68% |
469
9.06 IPS |