| User | TAY-REMEMBERED |
| Upload Date | May 10 2025 08:48 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700 CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G5 Desktop Mini |
| Motherboard | HP 8594 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.4 IPS |
|
|
Image Classification (Q)
|
100% |
3759
699.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4365
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5101
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5037
5.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
9982
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2190
173.7 IPS |
|
|
Object Detection (HP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (Q)
|
87% |
3678
295.0 IPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
4091
48.6 IPS |
|
|
Face Detection (Q)
|
97% |
9842
117.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6230
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6208
47.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
9993
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13612
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13463
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27576
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3017
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5630
208.5 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (Q)
|
91% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3253
56.0 IPS |