Nothing A059
Geekbench AI Score
505
Single Precision Score
888
Half Precision Score
717
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 10:24 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
385
71.6 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
100% |
587
109.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
803
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1965
2.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
3779
4.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
3690
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
99% |
500
39.6 IPS |
|
|
Object Detection (Q)
|
85% |
468
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1715
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1363
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1226
9.45 IPS |
|
|
Depth Estimation (HP)
|
98% |
2643
20.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
2014
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2341
3.01 IPS |
|
|
Style Transfer (HP)
|
100% |
5781
7.43 IPS |
|
|
Style Transfer (Q)
|
98% |
5602
7.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
947
35.1 IPS |
|
|
Text Classification (SP)
|
35% |
21
205.8 IPS |
|
|
Text Classification (HP)
|
35% |
33
297.8 IPS |
|
|
Text Classification (Q)
|
33% |
28
314.0 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
48% |
109
4.17 IPS |
