Nothing A069
Geekbench AI Score
776
Single Precision Score
1011
Half Precision Score
1210
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 12 2026 02:56 PM |
| Views | 43 |
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% |
949
176.4 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
789
147.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
841
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1984
2.32 IPS |
|
|
Pose Estimation (HP)
|
92% |
2451
2.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
2316
2.71 IPS |
|
|
Object Detection (SP)
|
98% |
412
32.8 IPS |
|
|
Object Detection (HP)
|
97% |
563
44.8 IPS |
|
|
Object Detection (Q)
|
85% |
865
69.7 IPS |
|
|
Face Detection (SP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
1848
22.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
916
7.08 IPS |
|
|
Depth Estimation (HP)
|
98% |
1734
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2019
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2361
3.07 IPS |
|
|
Style Transfer (HP)
|
88% |
2976
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4619
5.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1055
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1226
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.6 IPS |
|
|
Text Classification (HP)
|
100% |
498
664.9 IPS |
|
|
Text Classification (Q)
|
93% |
504
677.0 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
96% |
744
12.9 IPS |
|
|
Machine Translation (Q)
|
55% |
476
12.8 IPS |
