| User | willus |
| Upload Date | November 27 2025 07:34 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr plus 2025 |
| Model ID | motorola motorola razr plus 2025 |
| Motherboard | arcfox |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (Q)
|
100% |
2006
373.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
6798
8.06 IPS |
|
|
Object Detection (SP)
|
98% |
1350
107.4 IPS |
|
|
Object Detection (HP)
|
98% |
486
38.7 IPS |
|
|
Object Detection (Q)
|
83% |
945
76.3 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
1876
22.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1369
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1350
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2120
19.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7332
9.52 IPS |
|
|
Style Transfer (HP)
|
89% |
2999
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
5088
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3279
121.5 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.2 IPS |
|
|
Text Classification (HP)
|
99% |
301
401.6 IPS |
|
|
Text Classification (Q)
|
88% |
488
657.6 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
675
24.0 IPS |