| Upload Date | November 15 2025 02:28 PM |
| 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% |
1604
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (Q)
|
99% |
1220
227.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1246
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3341
3.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
4418
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
1701
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (Q)
|
85% |
1496
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2824
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2628
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2607
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2211
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3353
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3376
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
6628
8.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1872
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (Q)
|
58% |
662
15.5 IPS |