| User | geekybpl |
| Upload Date | September 26 2025 03:21 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | SystemRescue 12.02 |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.61 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (Q)
|
99% |
1532
285.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1301
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3260
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
3990
4.68 IPS |
|
|
Object Detection (SP)
|
100% |
2177
172.7 IPS |
|
|
Object Detection (HP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (Q)
|
85% |
1331
107.1 IPS |
|
|
Face Detection (SP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
2949
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3361
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3372
26.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2407
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3977
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3978
5.11 IPS |
|
|
Style Transfer (Q)
|
98% |
6862
8.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1855
68.8 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
982
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (Q)
|
58% |
768
18.0 IPS |