Nothing A059P
Geekbench AI Score
690
Single Precision Score
645
Half Precision Score
1246
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 02:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
918
170.8 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
100% |
885
164.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
939
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1213
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1492
1.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
3183
3.78 IPS |
|
|
Object Detection (SP)
|
98% |
422
33.6 IPS |
|
|
Object Detection (HP)
|
98% |
421
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
877
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
727
8.64 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
95% |
1828
21.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
890
6.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
878
6.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
2045
18.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2351
3.05 IPS |
|
|
Style Transfer (HP)
|
89% |
2353
3.05 IPS |
|
|
Style Transfer (Q)
|
98% |
4617
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1228
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.5 IPS |
|
|
Text Classification (HP)
|
99% |
254
339.5 IPS |
|
|
Text Classification (Q)
|
88% |
529
713.1 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
