| User | purity174 |
| Upload Date | June 22 2025 05:30 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock Z690 AQUA |
| Motherboard | ASRock Z690 AQUA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4429
823.7 IPS |
|
|
Image Classification (HP)
|
100% |
4596
854.7 IPS |
|
|
Image Classification (Q)
|
100% |
8912
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5559
90.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5369
87.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10333
167.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9106
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9067
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32748
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4350
345.0 IPS |
|
|
Object Detection (HP)
|
100% |
4313
342.1 IPS |
|
|
Object Detection (Q)
|
88% |
10157
814.2 IPS |
|
|
Face Detection (SP)
|
100% |
13012
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
13048
155.0 IPS |
|
|
Face Detection (Q)
|
100% |
24934
296.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11240
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11305
87.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
27296
212.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26350
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26876
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
56040
72.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3165
116.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16648
616.5 IPS |
|
|
Text Classification (SP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
92% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4102
70.7 IPS |