Nothing A142P
Geekbench AI Score
807
Single Precision Score
1252
Half Precision Score
996
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (Q)
|
97% |
592
110.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1474
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3227
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
6740
7.90 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
99% |
809
64.2 IPS |
|
|
Object Detection (Q)
|
83% |
758
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
2531
30.1 IPS |
|
|
Face Detection (Q)
|
96% |
2082
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2343
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4037
31.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3155
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4987
6.41 IPS |
|
|
Style Transfer (HP)
|
100% |
13875
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
12044
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1753
65.0 IPS |
|
|
Text Classification (SP)
|
35% |
18
164.5 IPS |
|
|
Text Classification (HP)
|
29% |
9
158.1 IPS |
|
|
Text Classification (Q)
|
29% |
9
154.5 IPS |
|
|
Machine Translation (SP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
43% |
174
10.1 IPS |
