| Upload Date | December 04 2025 02:19 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS D701MER_S501SER |
| Motherboard | ASUSTeK COMPUTER INC. D701MER |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1634
303.8 IPS |
|
|
Image Classification (HP)
|
100% |
2715
504.9 IPS |
|
|
Image Classification (Q)
|
99% |
4180
779.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3963
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4611
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4353
5.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
3171
3.70 IPS |
|
|
Pose Estimation (Q)
|
97% |
13047
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.1 IPS |
|
|
Object Detection (HP)
|
98% |
2376
189.1 IPS |
|
|
Object Detection (Q)
|
90% |
4469
357.3 IPS |
|
|
Face Detection (SP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
7930
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
10855
129.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5107
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8430
65.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11553
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11302
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17494
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29956
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3306
122.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6770
250.7 IPS |
|
|
Text Classification (SP)
|
71% |
1204
1.74 KIPS |
|
|
Text Classification (HP)
|
71% |
1451
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
1508
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2436
42.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2430
41.9 IPS |