Nothing A059
Geekbench AI Score
954
Single Precision Score
1058
Half Precision Score
1628
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 08:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
832
154.7 IPS |
|
|
Image Classification (HP)
|
100% |
916
170.3 IPS |
|
|
Image Classification (Q)
|
100% |
1216
226.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
819
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1989
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
5572
6.61 IPS |
|
|
Object Detection (SP)
|
98% |
409
32.6 IPS |
|
|
Object Detection (HP)
|
98% |
855
68.0 IPS |
|
|
Object Detection (Q)
|
83% |
893
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
4173
49.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1537
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2033
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2384
3.10 IPS |
|
|
Style Transfer (HP)
|
89% |
4666
6.06 IPS |
|
|
Style Transfer (Q)
|
98% |
12490
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1282
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
579
772.2 IPS |
|
|
Text Classification (HP)
|
99% |
276
367.7 IPS |
|
|
Text Classification (Q)
|
88% |
560
754.8 IPS |
|
|
Machine Translation (SP)
|
100% |
932
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
