| Upload Date | November 18 2025 07:47 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (Q)
|
99% |
476
88.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
861
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (HP)
|
99% |
4001
4.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
3913
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (HP)
|
99% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
85% |
364
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1388
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1198
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1356
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2189
16.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
1826
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2770
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
5703
7.33 IPS |
|
|
Style Transfer (Q)
|
98% |
5610
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
805
29.8 IPS |
|
|
Text Classification (SP)
|
35% |
19
182.1 IPS |
|
|
Text Classification (HP)
|
35% |
29
266.5 IPS |
|
|
Text Classification (Q)
|
35% |
29
260.1 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (HP)
|
97% |
223
3.85 IPS |
|
|
Machine Translation (Q)
|
64% |
170
3.48 IPS |