| User | bilguun |
| Upload Date | December 09 2024 01:02 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700F |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.45 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3090
574.7 IPS |
|
|
Image Classification (HP)
|
100% |
3162
588.1 IPS |
|
|
Image Classification (Q)
|
100% |
7286
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3385
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3514
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6395
103.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5169
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5419
6.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
18514
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2756
218.6 IPS |
|
|
Object Detection (HP)
|
100% |
2858
226.7 IPS |
|
|
Object Detection (Q)
|
88% |
7484
600.0 IPS |
|
|
Face Detection (SP)
|
100% |
6673
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
6799
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
17752
210.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7134
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7318
56.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
20005
155.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15659
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15738
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54488
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3553
131.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3551
131.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11491
425.6 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (Q)
|
92% |
5492
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4264
73.5 IPS |