| User | rennsport |
| Upload Date | April 13 2025 08:17 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS D4 |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4251
790.5 IPS |
|
|
Image Classification (HP)
|
100% |
4248
789.9 IPS |
|
|
Image Classification (Q)
|
100% |
8598
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4983
80.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5018
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8917
144.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7958
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
8022
9.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
29758
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (HP)
|
100% |
3975
315.3 IPS |
|
|
Object Detection (Q)
|
88% |
9263
742.5 IPS |
|
|
Face Detection (SP)
|
100% |
9030
107.3 IPS |
|
|
Face Detection (HP)
|
100% |
9029
107.3 IPS |
|
|
Face Detection (Q)
|
100% |
22057
262.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10322
79.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10357
79.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
25858
201.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23580
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24335
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85385
110.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5298
195.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15811
585.5 IPS |
|
|
Text Classification (SP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5589
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4751
81.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4732
81.5 IPS |