| Upload Date | November 11 2025 10:23 PM |
| Views | 3 |
| 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% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.2 IPS |
|
|
Image Classification (Q)
|
99% |
1221
227.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2640
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1270
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3312
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3311
3.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
4422
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (Q)
|
85% |
1473
118.5 IPS |
|
|
Face Detection (SP)
|
100% |
2647
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2807
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2575
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2636
20.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2221
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3326
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3309
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
6666
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1878
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
746
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (Q)
|
58% |
662
15.5 IPS |