| User | Plummi |
| Upload Date | January 24 2026 09:33 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Nothing A024 |
| Model ID | Nothing A024 |
| Motherboard | sun |
| 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 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.97 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.9 IPS |
|
|
Image Classification (Q)
|
100% |
1982
368.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4633
75.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3816
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9389
11.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
16855
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16665
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (HP)
|
99% |
1623
128.7 IPS |
|
|
Object Detection (Q)
|
85% |
1610
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7879
93.6 IPS |
|
|
Face Detection (Q)
|
97% |
6560
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5275
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7940
61.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
6194
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12008
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26192
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25651
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2458
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4273
157.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4199
155.6 IPS |
|
|
Text Classification (SP)
|
35% |
57
553.0 IPS |
|
|
Text Classification (HP)
|
35% |
80
725.2 IPS |
|
|
Text Classification (Q)
|
33% |
63
704.9 IPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
48% |
314
12.0 IPS |