Nothing A059P
Geekbench AI Score
946
Single Precision Score
797
Half Precision Score
1591
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 05:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A059P |
| Model ID | Nothing A059P |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (HP)
|
100% |
867
161.2 IPS |
|
|
Image Classification (Q)
|
100% |
826
153.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
795
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
5607
6.65 IPS |
|
|
Object Detection (SP)
|
98% |
421
33.5 IPS |
|
|
Object Detection (HP)
|
98% |
868
69.0 IPS |
|
|
Object Detection (Q)
|
83% |
894
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (Q)
|
95% |
1858
22.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
830
6.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
1046
8.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
2057
18.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4745
6.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2379
3.09 IPS |
|
|
Style Transfer (Q)
|
98% |
12429
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2300
85.2 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.7 IPS |
|
|
Text Classification (HP)
|
99% |
278
371.1 IPS |
|
|
Text Classification (Q)
|
88% |
569
767.0 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
