| Upload Date | November 13 2025 08:43 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% |
1541
286.5 IPS |
|
|
Image Classification (HP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (Q)
|
99% |
1202
224.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1267
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3260
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
4380
5.13 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (Q)
|
85% |
1468
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2647
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2754
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2640
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2632
20.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2218
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3394
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3404
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
6641
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1844
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1464
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (Q)
|
58% |
648
15.2 IPS |