| Upload Date | November 12 2025 06:28 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% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
1558
289.7 IPS |
|
|
Image Classification (Q)
|
99% |
1216
226.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1259
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
4358
5.11 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (Q)
|
85% |
1483
119.4 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
2811
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2585
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2579
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2222
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3312
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3325
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6543
8.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1878
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (Q)
|
58% |
641
15.0 IPS |