| Upload Date | November 17 2025 01:11 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% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (Q)
|
100% |
4639
862.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2755
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2685
3.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
9541
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (Q)
|
88% |
4493
360.2 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
8616
102.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3713
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3843
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10090
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7770
9.99 IPS |
|
|
Style Transfer (HP)
|
100% |
7488
9.63 IPS |
|
|
Style Transfer (Q)
|
98% |
30494
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7090
262.6 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (Q)
|
92% |
4215
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2544
43.8 IPS |