Nothing A059
Geekbench AI Score
784
Single Precision Score
794
Half Precision Score
1333
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 04:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
915
170.2 IPS |
|
|
Image Classification (HP)
|
100% |
927
172.3 IPS |
|
|
Image Classification (Q)
|
100% |
1690
314.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1994
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
2329
2.76 IPS |
|
|
Object Detection (SP)
|
98% |
438
34.9 IPS |
|
|
Object Detection (HP)
|
98% |
420
33.4 IPS |
|
|
Object Detection (Q)
|
83% |
894
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.67 IPS |
|
|
Face Detection (Q)
|
95% |
1850
22.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
829
6.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
959
7.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
2054
18.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2378
3.09 IPS |
|
|
Style Transfer (HP)
|
89% |
2366
3.07 IPS |
|
|
Style Transfer (Q)
|
98% |
4596
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
551
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1229
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
280
374.1 IPS |
|
|
Text Classification (HP)
|
99% |
282
376.8 IPS |
|
|
Text Classification (Q)
|
88% |
604
815.0 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
