| Upload Date | May 12 2025 03:42 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B660-G GAMING WIFI |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3168
589.2 IPS |
|
|
Image Classification (HP)
|
100% |
3175
590.4 IPS |
|
|
Image Classification (Q)
|
100% |
7102
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3882
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3889
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7450
120.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5924
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5919
6.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
21760
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
3102
246.0 IPS |
|
|
Object Detection (Q)
|
88% |
7640
612.4 IPS |
|
|
Face Detection (SP)
|
100% |
8760
104.1 IPS |
|
|
Face Detection (HP)
|
100% |
8804
104.6 IPS |
|
|
Face Detection (Q)
|
100% |
17080
202.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7871
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7837
60.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
19303
150.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17311
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17279
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
59735
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11854
439.0 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4843
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4919
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4961
85.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4875
84.0 IPS |