| Upload Date | November 04 2025 11:57 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 730 (iGPU) |
| 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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (Q)
|
99% |
3158
588.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3347
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3764
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
2695
3.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
9201
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (HP)
|
99% |
2001
158.7 IPS |
|
|
Object Detection (Q)
|
90% |
3198
255.7 IPS |
|
|
Face Detection (SP)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
6347
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
8114
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3979
30.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7005
54.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
8808
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8994
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13612
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22691
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2719
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4712
174.5 IPS |
|
|
Text Classification (SP)
|
71% |
1004
1.45 KIPS |
|
|
Text Classification (HP)
|
71% |
1270
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1825
31.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1827
31.5 IPS |