Nothing A069
Geekbench AI Score
707
Single Precision Score
1077
Half Precision Score
1265
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 12 2026 02:36 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Nothing A069 |
| Model ID | Nothing A069 |
| 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 @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 11.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
928
172.6 IPS |
|
|
Image Classification (HP)
|
100% |
611
113.6 IPS |
|
|
Image Classification (Q)
|
99% |
1002
186.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
833
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1461
1.70 IPS |
|
|
Pose Estimation (HP)
|
92% |
2494
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2347
2.75 IPS |
|
|
Object Detection (SP)
|
98% |
416
33.1 IPS |
|
|
Object Detection (HP)
|
97% |
559
44.5 IPS |
|
|
Object Detection (Q)
|
85% |
899
72.4 IPS |
|
|
Face Detection (SP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (HP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
1863
22.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
928
7.17 IPS |
|
|
Depth Estimation (HP)
|
98% |
1670
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2062
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2321
3.01 IPS |
|
|
Style Transfer (HP)
|
88% |
5146
6.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4616
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1048
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1252
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.8 IPS |
|
|
Text Classification (HP)
|
100% |
509
679.7 IPS |
|
|
Text Classification (Q)
|
93% |
535
718.3 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (HP)
|
96% |
751
13.0 IPS |
|
|
Machine Translation (Q)
|
55% |
502
13.5 IPS |
