| User | KascadeDataFlow |
| Upload Date | October 15 2025 03:38 PM |
| Views | 14 |
| Notes | proart-cpt |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.66 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.46 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (Q)
|
99% |
1850
345.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1643
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3831
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3807
4.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
5486
6.43 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (Q)
|
85% |
1986
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
3803
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3004
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3031
23.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3013
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3944
5.07 IPS |
|
|
Style Transfer (HP)
|
100% |
3955
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
8632
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2076
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2531
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1011
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (Q)
|
58% |
926
21.7 IPS |