Nothing A069
Geekbench AI Score
819
Single Precision Score
1237
Half Precision Score
1490
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 05 2026 09:00 PM |
| Views | 4 |
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% |
918
170.8 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.2 IPS |
|
|
Image Classification (Q)
|
99% |
999
186.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1186
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1417
1.65 IPS |
|
|
Pose Estimation (HP)
|
92% |
4079
4.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
2348
2.75 IPS |
|
|
Object Detection (SP)
|
98% |
416
33.1 IPS |
|
|
Object Detection (HP)
|
97% |
570
45.4 IPS |
|
|
Object Detection (Q)
|
85% |
891
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
3514
41.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1087
8.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
1674
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4729
43.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4750
6.17 IPS |
|
|
Style Transfer (HP)
|
88% |
2981
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
4627
5.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1062
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1237
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.7 IPS |
|
|
Text Classification (HP)
|
100% |
541
722.4 IPS |
|
|
Text Classification (Q)
|
93% |
446
598.6 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1005
17.4 IPS |
|
|
Machine Translation (Q)
|
55% |
515
13.8 IPS |
