Nothing A069P
Geekbench AI Score
1774
Single Precision Score
2365
Half Precision Score
3476
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 06:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Nothing A069P |
| Model ID | Nothing A069P |
| Motherboard | sun |
| 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 | 1.84 GHz |
| Cluster 1 | 3 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (HP)
|
100% |
1223
227.5 IPS |
|
|
Image Classification (Q)
|
99% |
2359
439.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2670
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3045
3.55 IPS |
|
|
Pose Estimation (HP)
|
92% |
6036
7.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
7347
8.61 IPS |
|
|
Object Detection (SP)
|
98% |
1326
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
1245
99.1 IPS |
|
|
Object Detection (Q)
|
85% |
2298
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
5642
67.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2362
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4375
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5696
52.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7336
9.52 IPS |
|
|
Style Transfer (HP)
|
88% |
7464
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
15811
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2527
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3972
147.2 IPS |
|
|
Text Classification (SP)
|
100% |
710
948.0 IPS |
|
|
Text Classification (HP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (Q)
|
93% |
1272
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1313
22.7 IPS |
|
|
Machine Translation (Q)
|
55% |
944
25.4 IPS |
