| User | geekybpl |
| Upload Date | September 26 2025 03:24 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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (Q)
|
99% |
1529
285.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1302
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3262
3.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
3978
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
2189
173.7 IPS |
|
|
Object Detection (Q)
|
85% |
1328
106.9 IPS |
|
|
Face Detection (SP)
|
100% |
3421
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
2934
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3349
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3382
26.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2405
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3985
5.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3973
5.11 IPS |
|
|
Style Transfer (Q)
|
98% |
6881
8.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2095
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1852
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (Q)
|
92% |
986
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (Q)
|
58% |
769
18.1 IPS |