Nothing A142P
Geekbench AI Score
770
Single Precision Score
777
Half Precision Score
1368
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
687
127.7 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (Q)
|
100% |
1211
225.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
896
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1077
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
2620
3.11 IPS |
|
|
Object Detection (SP)
|
98% |
502
40.0 IPS |
|
|
Object Detection (HP)
|
98% |
515
41.0 IPS |
|
|
Object Detection (Q)
|
83% |
855
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
1972
23.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1013
7.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
1132
8.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
2095
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2620
3.40 IPS |
|
|
Style Transfer (HP)
|
89% |
2628
3.41 IPS |
|
|
Style Transfer (Q)
|
98% |
5816
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1378
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.8 IPS |
|
|
Text Classification (HP)
|
99% |
288
383.9 IPS |
|
|
Text Classification (Q)
|
88% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
