| Upload Date | December 02 2025 08:15 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8s Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
947
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.6 IPS |
|
|
Image Classification (Q)
|
100% |
1133
210.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1703
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6739
7.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
10313
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10338
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
99% |
879
69.8 IPS |
|
|
Object Detection (Q)
|
87% |
846
67.9 IPS |
|
|
Face Detection (SP)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (Q)
|
97% |
3061
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3253
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4886
37.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
3988
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7869
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14750
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15630
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2065
76.5 IPS |
|
|
Text Classification (SP)
|
35% |
31
298.9 IPS |
|
|
Text Classification (HP)
|
35% |
37
336.4 IPS |
|
|
Text Classification (Q)
|
33% |
28
340.0 IPS |
|
|
Machine Translation (SP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (HP)
|
97% |
421
7.27 IPS |
|
|
Machine Translation (Q)
|
43% |
119
6.76 IPS |