| Upload Date | April 25 2025 02:02 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7820EQ CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise (64-bit) |
| Model | ADLINK Technology Inc. AVA-5500/5600 |
| Motherboard | ADLINK Technology Inc. AVA-5500/5600 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820EQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
898
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
1184
220.1 IPS |
|
|
Image Classification (Q)
|
100% |
1815
337.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2032
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2439
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2456
2.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
4330
5.08 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (HP)
|
100% |
1217
96.5 IPS |
|
|
Object Detection (Q)
|
87% |
1870
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
4847
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3178
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3191
24.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
4908
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7089
9.11 IPS |
|
|
Style Transfer (HP)
|
100% |
7133
9.17 IPS |
|
|
Style Transfer (Q)
|
98% |
12520
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2604
96.4 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1442
1.92 KIPS |
|
|
Text Classification (Q)
|
91% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2193
37.8 IPS |