| User | Fasttrack |
| Upload Date | April 03 2025 09:33 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4310
801.6 IPS |
|
|
Image Classification (HP)
|
100% |
4305
800.6 IPS |
|
|
Image Classification (Q)
|
100% |
1839
342.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5011
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1644
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9618
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9595
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17687
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
3897
309.1 IPS |
|
|
Object Detection (HP)
|
100% |
3824
303.3 IPS |
|
|
Object Detection (Q)
|
88% |
1810
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
11971
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
12160
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
4392
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10847
83.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
10997
84.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
4803
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27664
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27827
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
12906
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5487
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2560
94.8 IPS |
|
|
Text Classification (SP)
|
100% |
1674
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2894
49.8 IPS |
|
|
Machine Translation (Q)
|
85% |
3173
55.5 IPS |