Nothing A059P
Geekbench AI Score
893
Single Precision Score
1028
Half Precision Score
1682
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 27 2025 09:59 PM |
| Views | 2 |
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% |
834
155.1 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.2 IPS |
|
|
Image Classification (Q)
|
100% |
786
146.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
816
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1976
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1979
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
5506
6.53 IPS |
|
|
Object Detection (SP)
|
98% |
410
32.7 IPS |
|
|
Object Detection (HP)
|
98% |
879
69.9 IPS |
|
|
Object Detection (Q)
|
83% |
887
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
1863
22.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
935
7.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
1675
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4499
41.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4685
6.08 IPS |
|
|
Style Transfer (HP)
|
89% |
4297
5.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4607
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3023
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.1 IPS |
|
|
Text Classification (HP)
|
99% |
277
370.2 IPS |
|
|
Text Classification (Q)
|
88% |
979
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
