| User | TAY-REMEMBERED |
| Upload Date | January 07 2026 04:02 PM |
| Views | 5 |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2146
399.1 IPS |
|
|
Image Classification (HP)
|
100% |
2155
400.8 IPS |
|
|
Image Classification (Q)
|
100% |
3212
597.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3821
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4257
4.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
8800
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (Q)
|
87% |
3383
271.3 IPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (Q)
|
97% |
8910
106.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5350
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5417
41.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9154
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12679
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12792
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24466
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2601
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5082
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (Q)
|
91% |
827
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2883
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2872
49.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2850
49.1 IPS |