Nothing A142
Geekbench AI Score
373
Single Precision Score
1392
Half Precision Score
2351
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 03:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing A142 |
| Model ID | Nothing A142 |
| Motherboard | Pacman |
| 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 @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.2 IPS |
|
|
Image Classification (Q)
|
99% |
4104
765.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1113
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6360
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
25680
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
277
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (Q)
|
86% |
2238
180.0 IPS |
|
|
Face Detection (SP)
|
28% |
71
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (Q)
|
97% |
6880
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
526
4.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
6705
51.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
14297
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1057
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
376
0.48 IPS |
|
|
Style Transfer (Q)
|
30% |
363
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2749
400.3 IPS |
|
|
Text Classification (SP)
|
100% |
106
142.1 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.8 IPS |
|
|
Text Classification (Q)
|
93% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (Q)
|
60% |
255
5.75 IPS |
