| Upload Date | November 04 2025 07:18 AM |
| Views | 3 |
| 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% |
1532
284.8 IPS |
|
|
Image Classification (HP)
|
100% |
1527
283.9 IPS |
|
|
Image Classification (Q)
|
100% |
4854
902.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4044
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2775
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2759
3.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
10865
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (Q)
|
88% |
4208
337.3 IPS |
|
|
Face Detection (SP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (Q)
|
100% |
9553
113.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4025
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3843
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
9733
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8640
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8107
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27742
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1740
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1781
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7243
268.2 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
4136
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2579
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2390
41.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2586
44.5 IPS |