| User | Origem |
| Upload Date | November 26 2025 08:01 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8s Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Motorola Razr 50 Ultra |
| Model ID | motorola motorola razr 50 ultra |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
1421
264.2 IPS |
|
|
Image Classification (Q)
|
100% |
888
165.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
2190
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
5018
5.95 IPS |
|
|
Object Detection (SP)
|
98% |
358
28.5 IPS |
|
|
Object Detection (HP)
|
98% |
1088
86.6 IPS |
|
|
Object Detection (Q)
|
83% |
695
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (Q)
|
95% |
1651
19.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1857
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
972
7.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
1951
17.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1950
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5879
7.63 IPS |
|
|
Style Transfer (Q)
|
98% |
8531
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
844
31.3 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.7 IPS |
|
|
Text Classification (HP)
|
99% |
458
611.2 IPS |
|
|
Text Classification (Q)
|
88% |
398
536.4 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
251
8.92 IPS |