Nothing A059P
Geekbench AI Score
841
Single Precision Score
757
Half Precision Score
1289
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 07:39 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% |
906
168.5 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (Q)
|
100% |
879
163.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
821
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1376
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
2330
2.76 IPS |
|
|
Object Detection (SP)
|
98% |
419
33.4 IPS |
|
|
Object Detection (HP)
|
98% |
424
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
902
72.9 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (Q)
|
95% |
1840
22.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
844
6.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
1566
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4669
42.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4664
6.06 IPS |
|
|
Style Transfer (HP)
|
89% |
4689
6.09 IPS |
|
|
Style Transfer (Q)
|
98% |
4594
5.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1241
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
381
508.1 IPS |
|
|
Text Classification (HP)
|
99% |
275
367.4 IPS |
|
|
Text Classification (Q)
|
88% |
496
668.7 IPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
