| Upload Date | November 10 2025 08:08 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-14100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS D701MER_S501SER |
| Motherboard | ASUSTeK COMPUTER INC. D701MER |
| CPU Information | |
|---|---|
| Name | Intel Core i3-14100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1774
329.9 IPS |
|
|
Image Classification (HP)
|
100% |
1606
298.7 IPS |
|
|
Image Classification (Q)
|
100% |
4403
818.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4302
69.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2734
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
11005
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (HP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (Q)
|
88% |
4462
357.6 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
9289
110.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3719
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3890
30.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10205
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8112
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8188
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30450
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6256
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
4117
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2615
45.0 IPS |