Nothing A059
Geekbench AI Score
879
Single Precision Score
810
Half Precision Score
1691
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 03:14 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
172.1 IPS |
|
|
Image Classification (HP)
|
100% |
923
171.7 IPS |
|
|
Image Classification (Q)
|
100% |
1047
194.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1890
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1993
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3147
3.73 IPS |
|
|
Object Detection (SP)
|
98% |
416
33.1 IPS |
|
|
Object Detection (HP)
|
98% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
890
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.61 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (Q)
|
95% |
1846
22.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1219
9.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4636
42.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4655
6.04 IPS |
|
|
Style Transfer (HP)
|
89% |
2386
3.10 IPS |
|
|
Style Transfer (Q)
|
98% |
12413
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1227
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.7 IPS |
|
|
Text Classification (HP)
|
99% |
370
493.3 IPS |
|
|
Text Classification (Q)
|
88% |
521
702.0 IPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
