| User | z1phos |
| Upload Date | May 03 2025 01:53 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9300H CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 81LK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
1246
231.7 IPS |
|
|
Image Classification (Q)
|
100% |
2034
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2174
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2557
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2581
3.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
4956
5.81 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
100% |
1201
95.2 IPS |
|
|
Object Detection (Q)
|
87% |
2034
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
5200
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3229
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3255
25.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
5508
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7403
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
7462
9.59 IPS |
|
|
Style Transfer (Q)
|
98% |
14138
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2844
105.4 IPS |
|
|
Text Classification (SP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (Q)
|
91% |
983
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2143
36.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2025
34.9 IPS |