Nothing A059P
Geekbench AI Score
233
Single Precision Score
234
Half Precision Score
542
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 03:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A059P |
| Model ID | Nothing A059P |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (Q)
|
99% |
346
64.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
392
6.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
937
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
372
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
97% |
826
9.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
307
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
308
2.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
736
6.68 IPS |
|
|
Style Transfer (SP)
|
100% |
532
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
532
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1582
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
150
5.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
543
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
194
259.3 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.1 IPS |
|
|
Text Classification (Q)
|
91% |
341
458.9 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.44 IPS |
