| Upload Date | November 09 2025 12:47 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G+ |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (1) |
| Model ID | Nothing A063 |
| Motherboard | Spacewar |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.09 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
423
78.6 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.3 IPS |
|
|
Image Classification (Q)
|
100% |
1435
266.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2018
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3771
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
83% |
1396
112.8 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3391
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1580
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3018
27.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3407
4.42 IPS |
|
|
Style Transfer (HP)
|
89% |
3411
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
7657
9.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
841
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1808
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.6 IPS |
|
|
Text Classification (HP)
|
100% |
419
558.9 IPS |
|
|
Text Classification (Q)
|
88% |
832
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
448
15.9 IPS |