Nothing A142P
Geekbench AI Score
431
Single Precision Score
506
Half Precision Score
514
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 03:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
328
61.0 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (Q)
|
99% |
315
58.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
442
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
580
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
83% |
360
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
1096
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
800
6.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
881
6.79 IPS |
|
|
Depth Estimation (Q)
|
62% |
700
6.63 IPS |
|
|
Style Transfer (SP)
|
100% |
1774
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2234
2.87 IPS |
|
|
Style Transfer (Q)
|
98% |
2229
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
394
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
128
170.8 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.1 IPS |
|
|
Text Classification (Q)
|
91% |
261
350.6 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.37 IPS |
|
|
Machine Translation (HP)
|
100% |
200
3.45 IPS |
|
|
Machine Translation (Q)
|
57% |
157
3.85 IPS |
