Nothing A059
Geekbench AI Score
787
Single Precision Score
767
Half Precision Score
1471
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 11:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (Q)
|
100% |
858
159.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
1816
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1253
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1300
1.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
5542
6.57 IPS |
|
|
Object Detection (SP)
|
98% |
868
69.1 IPS |
|
|
Object Detection (HP)
|
98% |
899
71.5 IPS |
|
|
Object Detection (Q)
|
83% |
895
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
1898
22.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
961
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
939
7.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
2057
18.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2364
3.07 IPS |
|
|
Style Transfer (HP)
|
89% |
2385
3.10 IPS |
|
|
Style Transfer (Q)
|
98% |
5045
6.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1212
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.5 IPS |
|
|
Text Classification (HP)
|
99% |
274
366.0 IPS |
|
|
Text Classification (Q)
|
88% |
502
676.7 IPS |
|
|
Machine Translation (SP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
