Nothing A059P
Geekbench AI Score
882
Single Precision Score
869
Half Precision Score
1363
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 05:25 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% |
882
164.1 IPS |
|
|
Image Classification (HP)
|
100% |
865
160.8 IPS |
|
|
Image Classification (Q)
|
100% |
1115
207.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
808
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1901
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
5603
6.65 IPS |
|
|
Object Detection (SP)
|
98% |
845
67.3 IPS |
|
|
Object Detection (HP)
|
98% |
809
64.3 IPS |
|
|
Object Detection (Q)
|
83% |
887
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
710
8.43 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
1826
21.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1040
8.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1575
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4705
43.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4446
5.77 IPS |
|
|
Style Transfer (HP)
|
89% |
4391
5.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4403
5.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1040
38.5 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.3 IPS |
|
|
Text Classification (HP)
|
99% |
172
229.6 IPS |
|
|
Text Classification (Q)
|
88% |
366
493.8 IPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
