Nothing A142P
Geekbench AI Score
805
Single Precision Score
788
Half Precision Score
1446
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 05:43 PM |
| Views | 1 |
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 | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
732
136.1 IPS |
|
|
Image Classification (HP)
|
100% |
723
134.4 IPS |
|
|
Image Classification (Q)
|
100% |
1364
253.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1301
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1366
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
2752
3.26 IPS |
|
|
Object Detection (SP)
|
98% |
533
42.4 IPS |
|
|
Object Detection (HP)
|
98% |
528
42.1 IPS |
|
|
Object Detection (Q)
|
83% |
878
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2091
25.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1099
8.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
1134
8.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
2125
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2600
3.37 IPS |
|
|
Style Transfer (HP)
|
89% |
2578
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
5822
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1357
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
285
381.0 IPS |
|
|
Text Classification (HP)
|
99% |
283
377.1 IPS |
|
|
Text Classification (Q)
|
88% |
742
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
