| User | TAY-REMEMBERED |
| Upload Date | November 26 2025 10:42 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Desktop M01-F1xxx |
| Motherboard | HP 8768 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (HP)
|
100% |
2147
399.2 IPS |
|
|
Image Classification (Q)
|
100% |
3222
599.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3834
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4448
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4359
5.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
6664
7.82 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (Q)
|
87% |
3046
244.3 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (Q)
|
97% |
8242
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5592
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5076
39.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
9386
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12648
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12511
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24616
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2631
97.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5238
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
91% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3152
54.3 IPS |