| User | Americanrust |
| Upload Date | October 02 2025 09:58 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4782
889.4 IPS |
|
|
Image Classification (HP)
|
100% |
4781
889.2 IPS |
|
|
Image Classification (Q)
|
100% |
9992
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3227
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5938
96.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9297
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9300
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33753
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
4477
355.1 IPS |
|
|
Object Detection (HP)
|
100% |
4593
364.3 IPS |
|
|
Object Detection (Q)
|
88% |
10834
868.5 IPS |
|
|
Face Detection (SP)
|
100% |
13759
163.5 IPS |
|
|
Face Detection (HP)
|
100% |
13828
164.3 IPS |
|
|
Face Detection (Q)
|
100% |
25624
304.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11887
91.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11711
90.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
28957
225.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27611
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27563
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
48372
62.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5749
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17290
640.3 IPS |
|
|
Text Classification (SP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5751
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
6009
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5995
103.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5857
100.9 IPS |