| User | aenewton |
| Upload Date | August 24 2024 11:38 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | OriginPC NEURON |
| Motherboard | ASUSTeK COMPUTER INC. TUF Z390M-PRO GAMING (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2791
519.1 IPS |
|
|
Image Classification (HP)
|
100% |
3021
561.8 IPS |
|
|
Image Classification (Q)
|
100% |
4628
860.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4231
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6653
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6640
7.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
13067
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2917
231.4 IPS |
|
|
Object Detection (HP)
|
100% |
2908
230.7 IPS |
|
|
Object Detection (Q)
|
87% |
4572
366.7 IPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (Q)
|
97% |
12354
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8216
63.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
8065
62.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
13247
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18759
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18707
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37063
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7454
276.1 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (Q)
|
91% |
1056
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3544
61.1 IPS |
|
|
Machine Translation (Q)
|
90% |
2242
38.9 IPS |