| Upload Date | November 13 2025 10:32 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1642
305.4 IPS |
|
|
Image Classification (HP)
|
100% |
1632
303.4 IPS |
|
|
Image Classification (Q)
|
99% |
1250
233.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1174
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3319
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3289
3.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
4399
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (Q)
|
85% |
1497
120.5 IPS |
|
|
Face Detection (SP)
|
100% |
2704
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
2891
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2631
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2628
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2259
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3346
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3327
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
6722
8.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1892
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2931
50.5 IPS |
|
|
Machine Translation (Q)
|
58% |
653
15.3 IPS |