| User | solitto |
| Upload Date | May 30 2025 06:07 PM |
| Views | 21 |
| 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 MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4678
869.9 IPS |
|
|
Image Classification (HP)
|
100% |
4689
872.0 IPS |
|
|
Image Classification (Q)
|
100% |
9935
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5944
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6160
99.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11309
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9078
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9040
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32914
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
4442
352.3 IPS |
|
|
Object Detection (HP)
|
100% |
4488
356.0 IPS |
|
|
Object Detection (Q)
|
88% |
10680
856.1 IPS |
|
|
Face Detection (SP)
|
100% |
13600
161.6 IPS |
|
|
Face Detection (HP)
|
100% |
13182
156.6 IPS |
|
|
Face Detection (Q)
|
100% |
24614
292.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11417
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11616
89.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
28475
221.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27199
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26847
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
90951
117.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5675
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16908
626.2 IPS |
|
|
Text Classification (SP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
92% |
5494
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5957
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5726
98.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5760
99.2 IPS |