| Upload Date | November 05 2025 09:17 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A059 |
| Model ID | Nothing A059 |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 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 @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (Q)
|
97% |
10880
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
7088
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
243
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
32057
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.7 IPS |
|
|
Object Detection (Q)
|
86% |
4755
382.4 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (HP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (Q)
|
97% |
26428
315.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
304
2.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
63% |
22334
209.1 IPS |
|
|
Style Transfer (SP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
72377
93.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18410
682.2 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.1 IPS |
|
|
Text Classification (Q)
|
93% |
4359
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
326
5.61 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
55% |
769
20.1 IPS |