| User | Warblood |
| Upload Date | December 26 2025 02:25 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-1334U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 16 5640 |
| Motherboard | Dell Inc. 08GJ1J |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1334U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (HP)
|
100% |
1216
226.1 IPS |
|
|
Image Classification (Q)
|
100% |
2601
483.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2810
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2650
3.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
6667
7.81 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (Q)
|
88% |
2411
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
6722
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3565
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3358
25.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7799
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8858
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6687
8.60 IPS |
|
|
Style Transfer (Q)
|
98% |
25061
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3626
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
1486
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2141
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1797
30.9 IPS |