| User | salvoblunet |
| Upload Date | August 18 2024 12:27 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | Micro Computer (HK) Tech Limited UM773 Lite |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BFD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.83 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.59 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (Q)
|
99% |
1078
201.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
958
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2422
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
2556
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (Q)
|
86% |
908
73.0 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
2329
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2355
18.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
2416
18.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
2011
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2715
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2729
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
4655
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1408
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
2506
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (Q)
|
58% |
555
13.0 IPS |