Nothing A142P
Geekbench AI Score
748
Single Precision Score
751
Half Precision Score
1358
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 02:55 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% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
100% |
949
176.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1042
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
2602
3.09 IPS |
|
|
Object Detection (SP)
|
98% |
511
40.6 IPS |
|
|
Object Detection (HP)
|
98% |
511
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
828
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2027
24.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1073
8.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
1140
8.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
2076
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2625
3.41 IPS |
|
|
Style Transfer (HP)
|
89% |
2627
3.41 IPS |
|
|
Style Transfer (Q)
|
98% |
5824
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1396
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.4 IPS |
|
|
Text Classification (HP)
|
99% |
288
384.3 IPS |
|
|
Text Classification (Q)
|
88% |
746
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
393
14.0 IPS |
