Nothing A142P
Geekbench AI Score
410
Single Precision Score
1440
Half Precision Score
2423
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 03:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
1528
284.2 IPS |
|
|
Image Classification (Q)
|
99% |
4264
795.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
1582
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2570
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6997
8.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
28275
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (Q)
|
86% |
2272
182.8 IPS |
|
|
Face Detection (SP)
|
28% |
76
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (Q)
|
97% |
7063
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
531
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
7156
55.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
14961
142.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1148
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
379
0.49 IPS |
|
|
Style Transfer (Q)
|
30% |
357
5.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2885
420.2 IPS |
|
|
Text Classification (SP)
|
100% |
115
154.1 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (Q)
|
93% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (Q)
|
60% |
256
5.76 IPS |
