| User | pomlab |
| Upload Date | March 24 2025 10:09 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5700 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.66 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (HP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (Q)
|
99% |
1017
189.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
974
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2205
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
2658
3.11 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
1743
138.3 IPS |
|
|
Object Detection (Q)
|
85% |
882
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2302
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
2267
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2165
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2164
16.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1790
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2514
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2501
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
4741
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1449
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1982
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
768
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (Q)
|
58% |
630
14.8 IPS |