| User | Cosine5000 |
| Upload Date | November 10 2025 07:57 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Standard (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | RAM |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
837
155.7 IPS |
|
|
Image Classification (HP)
|
100% |
956
177.8 IPS |
|
|
Image Classification (Q)
|
100% |
1867
347.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2277
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1929
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
6128
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (HP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (Q)
|
88% |
2313
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
3306
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1822
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2642
20.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4800
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5493
7.06 IPS |
|
|
Style Transfer (HP)
|
100% |
5558
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
18266
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2005
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1839
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1710
29.5 IPS |