Nothing A142P
Geekbench AI Score
915
Single Precision Score
919
Half Precision Score
1856
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 07:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing A142P |
| Model ID | Nothing A142P |
| Motherboard | PacmanPro |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
710
132.0 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (Q)
|
100% |
1370
254.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1493
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1404
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1394
1.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
3603
4.27 IPS |
|
|
Object Detection (SP)
|
98% |
679
54.1 IPS |
|
|
Object Detection (HP)
|
98% |
675
53.7 IPS |
|
|
Object Detection (Q)
|
83% |
1186
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2763
33.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1270
9.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
1263
9.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
2851
26.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3334
4.33 IPS |
|
|
Style Transfer (HP)
|
89% |
3341
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
7956
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1808
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.8 IPS |
|
|
Text Classification (HP)
|
99% |
394
525.5 IPS |
|
|
Text Classification (Q)
|
88% |
1008
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
